The Equity Data  & Analysis Center’s goal is to use data to achieve progress on health equity. Its outputs provide evidence on who is being left behind, in order to inform health policies, programmes and practices that aim at closing existing gap.

Activities include:

  • Maintaining and updating a large dataset with indicators for the sustainable development goals related to reproductive, maternal, newborn and child health which can be stratified by various equity dimensions, such as wealth quintiles and maternal education.
  • Providing guidance on analysis methods, tools for equity analysis and visualization, and database management.

This webinar provides an overview of available tools for equity analysis.




Tools & Resources

Equity profiles are available for Countdown priority countries with available DHS or MICS surveys. They highlight the magnitude, time trends and within-country inequalities for reproductive, maternal, newborn and child health interventions. The selected indicators belong to the four stages of the continuum of care, plus two composite indicators: the composite coverage index and the co-coverage indicator.

Access Equity Profiles



The equity dashboard is an Excel spreadsheet which visualizes data on reproductive, maternal, newborn and child health indicators according to wealth, place of residence, and women’s education by country or region. The data sources are DHS, MICS or other relevant nationally representative surveys with focus women, children and adolescent health. Further instructions and a link to download the dashboard can be found at:

Access Dashboard

The list of indicators and stratifiers, along with their definitions, is useful for those interpreting that data or creating their own surveys. The list of indicator definitions is available here.  More details on the stratifiers is available here. The datasets with indicator estimates are provided upon request:

Under-five mortality rates in Bangladesh, by wealth quintiles. (Data source: Bangladesh DHS 1993-2011)

The equiplot is a dot graph used to compare of inequalities within and between subgroups, where the distance between the dots is the absolute difference between subgroups.  The equiplot can be used to visualize inequalities between indicators, countries or even time trends. Support for generating equiplots is available through downloadable Stata code, an online tool, and this brief video tutorial.






Concentration curve for measles vaccination and underweight using data from the Nigeria 2008 DHS

The slope index of inequality (SII) and the concentration index (CIX) are complex inequality measures for ordered groups to measure absolute (SII) and relative (CIX) inequalities. The SII estimates the absolute inequality between the extremes of the stratifier distribution (e.g. wealth quintiles) through a linear or logistic regression.

You can download the SII Stata ado-file for using the following command:
net install siilogit, from("")

The CIX is a relative inequality measure related to the Gini coefficient, showing how concentrated the health indicator is within the socioeconomic distribution.

You can download the CIX Stata ado-file using the following command:
net install cixr, from("")

Laísa Moreira
Luisa Arroyave
Luiza I Ricardo
Fernando C Wehrmeister
Fatima Maia
Thiago Mello
Franciele Hellwig
Fernanda Ewerling
Andrea Wendt
Leonardo Z Ferreira
Nancy Armenta
Paulo Augusto Neves
Carolina Coll
Bianca Cata Preta
Cíntia Borges
Juliana Vaz
Luís Paulo Vidaletti
Janaína Calu Costa
Cauane Blumenberg
Aluisio J D Barros
Cesar G. Victora