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Historical Age-Stratified Mortality Data
Data Science and Analytics
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About
Detailed statistics on the global causes of death spanning three decades are available in this data product. It provides crucial insights into worldwide mortality patterns for all ages, categorised into distinct age cohorts, allowing for focused demographic analysis of health trends and associated risk factors.
Columns
The dataset includes demographic identifiers and numerous mortality counts:
- Country: The name of the nation the mortality data refers to. There are 228 unique values recorded.
- Country Code: A standardised code for the country name. Note that approximately 10% of values are missing.
- Year: The specific year the death statistics were recorded. Data ranges from 1990 up to 2019.
- Causes of Death: Columns detailing the estimated number of deaths attributed to specific conditions, such as Self-harm, Environmental heat and cold exposure, Diarrheal diseases, Road injuries, Tuberculosis, HIV/AIDS, Parkinson's disease, Malaria, Fire, heat, and hot substances, Chronic kidney disease, Neoplasms, Digestive diseases, Alzheimer's disease and other dementias, Cardiovascular diseases, Nutritional deficiencies, Drug use disorders, Alcohol use disorders, Lower respiratory infections, Diabetes mellitus, Protein-energy malnutrition, and Acute hepatitis.
Distribution
The information is structured into five distinct CSV files, each segmented by a specific age category: under 5 years, 5 to 14 years, 15 to 49 years, 50 to 69 years, and above 70 years. For instance, the file detailing deaths above age 70 contains 29 columns. Row or record counts for individual files are around 6840.
Usage
This data is highly suited for data analytics, exploratory data analysis, and academic research into global health trends. The granular age segmentation makes it particularly valuable for studying demographic-specific mortality risks, understanding disease burdens across different lifespans, and evaluating the historical effectiveness of public health interventions.
Coverage
The geographic scope is worldwide, encompassing mortality data for 228 unique countries. The temporal coverage spans thirty years, from 1990 through to 2019. Demographically, the data is stratified into five specific age groups: under 5 years, 5 to 14 years, 15 to 49 years, 50 to 69 years, and 70 years and above.
License
Attribution 4.0 International (CC BY 4.0).
Who Can Use It
Public health officials tracking global disease burdens and assessing regional disparities in mortality rates. Epidemiologists analysing age-specific mortality data and risk factors. Researchers studying the impact of various diseases over time. Data scientists performing time-series analysis or predictive modelling on death trends.
Dataset Name Suggestions
- Global Mortality Causes 1990-2019
- Worldwide Causes of Death by Age Cohort
- Historical Age-Stratified Mortality Data
Attributes
Original Data Source: Historical Age-Stratified Mortality Data
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