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Global Mortality Risk Factor Data
Public Health & Epidemiology
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About
This collection of statistics details mortality rates for countries globally, specifically attributing deaths to a wide array of risk factors. It supports researchers and policy-makers in analysing how behavioural, environmental, and dietary causes impact life expectancy and public health outcomes internationally.
Columns
The dataset contains 31 columns, tracking location, time, and specific causes of death:
- Entity: The country or geographical region being analysed.
- Code: The corresponding country code. Note that 10% of values are missing in this column.
- Year: The temporal reference point for the data.
- Outdoor air pollution
- High systolic blood pressure
- Diet high in sodium
- Alochol use
- Diet low in whole grains
- Diet low in fruits
- Unsafe water source
- Secondhand smoke
- Low birth weight
- Child wasting
- Unsafe sex
- Diet low in nuts and seeds
- Household air pollution from solid fuels
- Diet low in Vegetables
- Low physical activity
- Smoking
- High fasting plasma glucose
- Air pollution
- High body mass index
- Unsafe Sanitation
- No access to handwashing facility
- Drug use
- Low bone mineral density
- Vitamin A deficiency
- Child stunting
- Discontinued breastfeeding
- Non-exclusive breastfeeding
- Iron deficiency
Distribution
The dataset is presented in a tabular structure, typically delivered as a CSV file. It contains 6,840 valid records spanning 31 distinct columns. The data reflects global statistics, featuring 228 unique country entities.
Usage
Ideal applications include epidemiological research, generating public health policy recommendations, mapping global disease burden, and performing correlation analysis between specific risk factors (such as diet or pollution) and national mortality trends.
Coverage
The scope is worldwide, covering 228 unique countries. The data spans a significant time range, starting in 1990 and concluding in 2019. The statistics are aggregated to cover all ages for both male and female populations.
License
CC0: Public Domain
Who Can Use It
Public health officials who require empirical evidence to justify interventions; academic researchers performing mortality studies; global health organizations tracking progress against disease burdens; and data analysts interested in socio-economic and health risk factor modelling.
Dataset Name Suggestions
- Global Mortality Risk Factor Data
- Country Death Rates and Causes Analysis
- Worldwide Health Risk Factors 1990-2019
Attributes
Original Data Source: Global Mortality Risk Factor Data
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