About the Health Equity Monitor
Health equity is the absence of unfair and avoidable or remediable differences in health interventions and outcomes among groups of people. Data that are presented according to social, demographic, economic or geographical factors can help to identify vulnerable populations and target health policies, programmes and practices. Disaggregated data are useful to track progress on health goals, revealing differences between sub-groups that overall averages may mask. Health equity data provide an evidence base for equity-oriented interventions, and are a key component of mainstreaming gender, equity and human rights as well as equity-oriented progress towards universal health coverage.
The Health Equity Monitor currently includes reproductive, maternal, newborn and child health indicators, disaggregated by education, economic status, place of residence (rural vs. urban) subnational region and child’s sex (where applicable). Data are based on Demographic and Health Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS) conducted in 102 countries, 100 of which are low- or middle-income countries.
Core components of the Health Equity Monitor include the database, equity country profiles and interactive visuals:
- The database presents data for over 30 reproductive, maternal, newborn and child health indicators, collected from more than 280 surveys in 1993–2014. For almost three quarters of the countries, data are available for at least two time points.
- Equity country profiles highlight disaggregated data for 102 study countries where a DHS or MICS was conducted between 1993 and 2014 and data are publicly available.
- Interactive visualizations show inequalities in select health interventions and outcomes (latest situation and change over time).
Data were derived from re-analysis of DHS and MICS micro-data. In general, standard indicator definitions were adopted, as published in DHS and MICS documentation. The analysis was done by the International Center for Equity in Health based in the Federal University of Pelotas, Brazil.
- In a few cases there may be minor differences between the data reported here and in previous DHS or MICS country reports due to small discrepancies in the definition and calculation of some indicators. Detailed information about the criteria used to calculate the indicator numerator and denominator values used in these analyses is available in the WHO Indicator and Measurement Registry.
- Surveys were generally conducted over a one or two year period, thus the initial year may indicate the first year of data collection, or the sole year of data collection.
- For data disaggregated by economic status, a wealth index based on owning selected assets and having access to certain services was constructed using principal components analysis. The index was divided into wealth quintiles within each country. Wealth index and quintile variables are available in the original datasets. Technical information about calculating wealth variables is available from http://www.measuredhs.com/pubs/pdf/CR6/CR6.pdf.
- Point estimates along with 95% confidence intervals are shown.