World Bank HNP Statistics by Wealth Quintile

Presents crucial statistics on Health, Nutrition, and Population (HNP) indicators, specifically stratified by Wealth Quintile. This essential World Bank data provides detailed insights into how socio-economic status influences vital health and population outcomes across the globe. The dataset is designed to support detailed research into poverty reduction, equity analysis, and developmental trends.

Country Name: The full name of the reporting nation (e.g., Afghanistan). Country Code: The standardized three-letter code for the country (e.g., AFG). Series Name: The specific descriptive title of the health or population indicator being tracked (e.g., Acceptability of media messages on family planning). Series Code: The unique identifier code corresponding to the Series Name (e.g., SH.FPL.ACPT.Q1.ZS). Year Columns (1995 [YR1995] through 2021 [YR2021]): Time-series columns containing the measured values for the specific indicator in that particular year.

The data typically comes as a large, structured CSV file. It features a robust structure spanning 31 distinct columns. The structure contains approximately 90,100 valid records or rows, making it suitable for large-scale time-series analysis of HNP metrics. The dataset is expected to be updated annually.

Ideal applications include poverty reduction strategy planning, global health policy formulation, economic modelling of inequality, and academic research focused on quantifying socio-economic determinants of health. It is particularly valuable for longitudinal studies seeking to track health outcomes against changes in economic standing.

The dataset offers broad geographic coverage, containing data points for over 219 unique countries globally. The historical scope spans the period from 1995 up to 2021. The core demographic segmentation focuses on the wealth quintile, allowing for granular analysis of data availability across five economic groups (Q1 being the lowest wealth bracket).

Attribution 4.0 International (CC BY 4.0)

International Non-Governmental Organisations and development agencies studying global inequality; Economists and policy analysts assessing the correlation between wealth and specific health indicators; Data scientists developing predictive models for resource allocation; Public policy makers aiming to evaluate the effectiveness of public health programmes on specific wealth demographics.

Global Health Metrics by Wealth Grouping World Bank HNP Statistics by Wealth Quintile International Socio-Economic Health Indicators

Original Data Source: World Bank HNP Statistics by Wealth Quintile