📊 update the main WHO mortality dataset#5767
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veronikasamborska1994 wants to merge 5 commits intomasterfrom
Closed
📊 update the main WHO mortality dataset#5767veronikasamborska1994 wants to merge 5 commits intomasterfrom
veronikasamborska1994 wants to merge 5 commits intomasterfrom
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Quick links (staging server):
Login: chart-diff: ❌
data-diff: ❌ Found differences= Dataset garden/cardiovascular_diseases/2023-11-01/deaths_from_cardiovascular_diseases_vs_other
~ Table deaths_from_cardiovascular_diseases_vs_other (changed metadata)
- - citation_full: WHO Division of Data, Analytics and Delivery for Impact (DDI), World Health Organization (2024)
+ + citation_full: WHO Division of Data, Analytics and Delivery for Impact (DDI), World Health Organization (2026)
- - date_accessed: '2025-04-17'
+ + date_accessed: '2026-03-12'
- - date_published: '2025-02-13'
+ + date_published: '2026-02-23'
~ Dim country
+ + New values: 1 / 5005 (0.02%)
year country
2022 United Kingdom
~ Dim year
+ + New values: 1 / 5005 (0.02%)
country year
United Kingdom 2022
~ Column cancer_and_neoplasms (new data)
+ + New values: 1 / 5005 (0.02%)
country year cancer_and_neoplasms
United Kingdom 2022 26.523218
~ Column cardiovascular_diseases (new data)
+ + New values: 1 / 5005 (0.02%)
country year cardiovascular_diseases
United Kingdom 2022 24.38278
~ Column congenital_and_maternal_conditions (new data)
+ + New values: 1 / 5005 (0.02%)
country year congenital_and_maternal_conditions
United Kingdom 2022 0.593635
~ Column digestive_and_oral_health (new data)
+ + New values: 1 / 5005 (0.02%)
country year digestive_and_oral_health
United Kingdom 2022 5.349269
~ Column endocrine_and_nutritional_disorders (new data)
+ + New values: 1 / 5005 (0.02%)
country year endocrine_and_nutritional_disorders
United Kingdom 2022 2.110567
~ Column ill_defined_causes_and_injuries (new data)
+ + New values: 1 / 5005 (0.02%)
country year ill_defined_causes_and_injuries
United Kingdom 2022 7.545795
~ Column infectious_diseases (new data)
+ + New values: 1 / 5005 (0.02%)
country year infectious_diseases
United Kingdom 2022 9.168957
~ Column neurological_and_mental_health (new data)
+ + New values: 1 / 5005 (0.02%)
country year neurological_and_mental_health
United Kingdom 2022 15.505383
~ Column other_diseases_and_conditions (new data)
+ + New values: 1 / 5005 (0.02%)
country year other_diseases_and_conditions
United Kingdom 2022 1.121886
~ Column respiratory_diseases (new data)
+ + New values: 1 / 5005 (0.02%)
country year respiratory_diseases
United Kingdom 2022 6.931128
~ Column unidentified_causes (new data)
+ + New values: 1 / 5005 (0.02%)
country year unidentified_causes
United Kingdom 2022 0.76738
= Dataset garden/growth/2025-01-16/gdppc_vs_living_conditions
~ Table gdppc_vs_living_conditions (changed metadata)
- - citation_full: WHO Division of Data, Analytics and Delivery for Impact (DDI), World Health Organization (2024)
+ + citation_full: WHO Division of Data, Analytics and Delivery for Impact (DDI), World Health Organization (2026)
- - date_accessed: '2025-04-17'
+ + date_accessed: '2026-03-12'
- - date_published: '2025-02-13'
+ + date_published: '2026-02-23'
= Dataset garden/maternal_mortality/2024-07-08/maternal_mortality
~ Table maternal_mortality (changed metadata)
- - citation_full: WHO Division of Data, Analytics and Delivery for Impact (DDI), World Health Organization (2024)
+ + citation_full: WHO Division of Data, Analytics and Delivery for Impact (DDI), World Health Organization (2026)
- - date_accessed: '2025-04-17'
+ + date_accessed: '2026-03-12'
- - date_published: '2025-02-13'
+ + date_published: '2026-02-23'
+ Dataset garden/who/2026-03-12/mortality_database
+ + Table mortality_database
+ + Column number
+ + Column percentage_of_cause_specific_deaths_out_of_total_deaths
+ + Column age_standardized_death_rate_per_100_000_standard_population
+ + Column death_rate_per_100_000_population
+ Dataset garden/who/2026-03-12/mortality_database_aggregated
+ + Table mortality_database_aggregated
+ + Column deaths
Legend: +New ~Modified -Removed =Identical Details
Hint: Run this locally with etl diff REMOTE data/ --include yourdataset --verbose --snippetAutomatically updated datasets matching excess_mortality|covid|fluid|flunet|country_profile|garden/ihme_gbd/2019/gbd_risk are not included Edited: 2026-03-19 18:05:52 UTC |
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Closing since trying to reverse engineer everything from the raw files hasn't worked. Also confirmed with the WHO that the datasets on the main platform will be updated in a couple of weeks. |
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