Dark Mode
WHO Health and Mortality Indicators Registry
Patient Health Records & Digital Health
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
Longevity and public health outcomes are often shaped by a complex interplay of economic prosperity and societal well-being. By merging international health statistics, these records offer a detailed perspective on how various mortality factors, particularly self-harm, correlate with the average life span of populations across the globe. Understanding the impact of these variables is vital for identifying the primary drivers of mortality and developing strategies to improve human development and social welfare in different regional contexts.
Columns
- Country: The name of the nation where the statistics were recorded.
- Year: The specific calendar year of the observation, spanning from 2000 to 2015.
- Suicides number: The total count of recorded self-harm fatalities within the country and year.
- Life expectancy: The average number of years a person in the population is expected to live.
- Adult Mortality: The probability of dying between the ages of 15 and 60 per 1,000 population.
- Infant deaths: The number of infant deaths per 1,000 population.
- Alcohol: The recorded per capita consumption of alcohol for individuals aged 15 and older.
- Under-five deaths: The number of child deaths under the age of five per 1,000 population.
- HIV/AIDS: The number of deaths per 1,000 live births attributed to HIV/AIDS.
- GDP: Gross Domestic Product per capita, indicating the economic health of the nation.
- Population: The total number of people residing in the country during the observation year.
- Income composition of resources: The Human Development Index in terms of income and resource distribution.
- Schooling: The average number of years of education completed by the population.
Distribution
The information is delivered in a CSV file titled
30_merged_dataset_v00_final.csv with a file size of approximately 110.11 kB. The file contains 1,421 valid records and exhibits high integrity with no mismatched or missing entries in the primary columns. It features a usability score of 10.00 on major data platforms.Usage
This collection is highly effective for longitudinal health studies and socio-economic research. Analysts can use the figures to model the relationship between economic output (GDP) and life expectancy or to investigate the specific impact of suicide rates on national health statistics. It is also suitable for training regression models to predict mortality trends based on educational and resource indicators.
Coverage
The scope is global, covering 106 unique countries. Temporally, the data spans a sixteen-year period from 2000 to 2015. This provides a thorough view of health and economic evolution during the early 21st century across a diverse range of demographic groups and geographical regions.
License
CC BY 3.0 IGO
Who Can Use It
Public health researchers can leverage these records to identify correlations between lifestyle factors, such as alcohol consumption, and mortality rates. Economists may utilise the GDP and income composition data to study how financial stability affects societal well-being. Additionally, students of social sciences can explore the dataset to understand the intersection of education, health, and national longevity.
Dataset Name Suggestions
- Global Mortality and Life Expectancy Nexus (2000-2015)
- Socio-Economic Drivers of Global Suicide Rates
- WHO Health and Mortality Indicators Registry
- International Life Expectancy and Human Development Archive
- Global Health Statistics: Suicides, Wealth, and Longevity
Attributes
Original Data Source:WHO Health and Mortality Indicators Registry
QUALITYLoading...
Free
Download Dataset in CSV Format
Recommended Datasets
Loading recommendations...