The Health Index is in preview.
It runs on placeholder data.
When it is complete, the index will rank districts by the gaps in their health facilities and health outcomes. The figures on this page are placeholders that show how the tool will work.
How the index works
A district's score depends on the sector and the weights chosen in the first two steps, and the ranking and the research briefs follow from that score.
Focus area
You can choose one of seven health domains, such as primary care, maternal health or child health, and the infrastructure gap measure then reflects the facilities available for that domain.
Weights
Three sliders set how much the score depends on access to care, on the severity of health outcomes and on the infrastructure gap. You can start from a preset or set the sliders yourself.
Ranking
Every scored district is ranked as you change the weights, with the largest opportunity for health work at the top. Clicking a state on the map limits the list to that state.
District brief
Clicking a district produces a research brief with its health indicators, its infrastructure figures and the gaps worth investigating, which you can save as a PDF.
Health weighting tool.
You can change the weights, choose a health domain or click a state, and the ranking shows which districts then rise to the top.
Placeholder data. Planned sources · NHM District Reports · SRS Bulletins · Rural Health Statistics 2021-22 · Census 2011
Score settings
Sector and weights
Primary and community health centres (PHCs and CHCs) per lakh people. A higher score means fewer facilities for the population.
A composite of infant mortality, maternal mortality and stunting. A higher score means worse health outcomes.
How far the number of hospital beds per person falls short of the national target. A higher score means a larger shortfall.
Presets
Map by state
Clicking a state filters the ranking
District ranking
0 districts
The national picture.
The first two figures are national statistics, given for context. The third counts districts in the placeholder data, so it will change when the real data is in place.
The same method can be applied to other public datasets.
We are also studying CSR spending, school infrastructure and access to electricity.
The health index will draw on National Health Mission reports, the Sample Registration System and Rural Health Statistics.