From diagnosis
to action.

Four steps to surface the districts with the most critical health infrastructure gaps. Evidence-first, ranked by need.

Read the Methodology
Districts scored
651
Data window
2019–22
Coverage
0 Districts
Scroll to explore
01 / How It Works

From data to decision.

Four steps to surface your highest-opportunity district. No dashboards, no noise. Just evidence, ranked.

Input01

Choose Your Focus

Select a health domain — primary care, maternal health, child health, or any of seven focus areas. The infrastructure gap dimension adjusts to reflect sector-specific facility availability.

Weighting02

Set Your Priorities

Three weight sliders. Adjust to reflect your organisation’s priorities — health access, outcomes severity, or infrastructure gaps. Pick a preset or calibrate manually.

Output03

See Ranked Districts

A live-ranked ledger of every scored district, ordered by health intervention opportunity. Click any state on the map to filter to that geography.

Export04

Download a Brief

Click any district to generate a research brief with health indicators, infrastructure data, and gaps worth investigating. Export as PDF.

Precomputed scores · Reproducible via scripts/csr/rebuild_data.py
02 / The Simulator

Health Simulator.

Adjust weights, select a health domain, and click any state to surface districts with the greatest intervention opportunity.

Source · NHM District Reports · SRS Bulletins · Rural Health Statistics 2021-22 · Census 2011

Scoring Controls

Calibrate the Index

Health Access
ADEQUATESCARCE

PHC/CHC density per lakh population. Higher = fewer facilities relative to population.

Health Outcomes
STRONGCRITICAL

Composite of IMR, MMR, and stunting rates. Higher = worse health outcomes.

Infrastructure Gap
EQUIPPEDDEFICIENT

Bed-to-population ratio gap vs national target. Higher = greater shortfall.

Quick Presets

India · Territorial Atlas

Click a state to filter rankings

Figure 01

District Ledger

0 districts

03 / Findings

What the data reveals.

Three signals from the health ledger. Each points to a different kind of gap, and a different lever for intervention.

Finding 0101
1:1,800
Doctor-Patient Ratio
National average doctor-to-population ratio, masking severe rural shortfalls where ratios exceed 1:10,000.
Finding 0202
28 per 1,000
Infant Mortality Rate
National IMR (SRS 2020). State-level variation ranges from 4 (Kerala) to 36 (Madhya Pradesh).
Finding 0303
0
Underserved Districts
Districts with critically low health access and poor outcomes — intervention priorities.
What Comes Next

The same methodology works across every public dataset.

CSR spending patterns, education infrastructure, and energy access are also under investigation.

CSREducationEnergy
Updates

We are building health infrastructure indices using NHM, SRS, and Rural Health Statistics data.

Coming Soon

Whitespace India Health

We are building this research vertical. The same methodology, applied to health data across Indian districts. Stay tuned.

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