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ONS baby names: complete dataset

This repository provides a unified dataset of baby names registered in England and Wales, combining all available datasets published by the Office for National Statistics (ONS). It includes:

  • Boys’ names
  • Girls’ names
  • Historic top 100 names
  • Breakdowns by England, Wales, and England and Wales jointly

📦 Overview

The ONS publishes separate datasets for boys and girls, as well as a historical summary of the top 100 names going back decades. These datasets are spread across multiple Excel files and formats, with slight structural differences over time.

This repo fetches, cleans, and consolidates these into a tidy, long-format dataset for analysis and reuse.


📁 Data sources

Dataset Description Link
Boys' names Annual baby name stats for boys in England and Wales ONS boys
Girls' names Annual baby name stats for girls in England and Wales ONS girls
Historic Top 100 baby names from 1904 onwards at 10-year intervals ONS historic

🚀 Usage

  • download.R fetches the latest datasets from ONS into the data-raw directory
  • main.R processes these files, harmonising formats and combining them into a single dataset which is output to ons-baby-names-clean.csv

You can query the dataset using the DuckDB shell — click the link to explore with SQL in the browser.


📊 Sample output format

The dataset includes rankings for each decade from 1904 to 1994 for England and Wales, followed by annual data from 1996 onwards for England, Wales, and England and Wales jointly. Each row represents a baby name at a specific time and geography, along with its rank and number of registrations (count).

year sex geography geography_label rank name count
1996 Female K04000001 England and Wales 1 Sophie 7087
1996 Female K04000001 England and Wales 2 Chloe 6824
1996 Female K04000001 England and Wales 3 Jessica 6711
1996 Female K04000001 England and Wales 4 Emily 6415
1996 Female K04000001 England and Wales 5 Lauren 6299
1996 Female K04000001 England and Wales 6 Hannah 5916

📜 Licence

This project is open source under the MIT licence. Data is Crown copyright and reproduced under the terms of the Open Government Licence v3.0.

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