From access
to outcomes.

Four steps to surface the districts where education investment would create the greatest impact. Evidence-ranked, publicly sourced.

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 an education domain — primary, secondary, vocational, or any of seven focus areas. The infrastructure dimension adjusts to reflect sector-specific facility availability.

Weighting02

Set Your Priorities

Three weight sliders. Adjust to reflect your organisation's priorities — school access, learning outcomes, or infrastructure gaps. Pick a preset or calibrate manually.

Output03

See Ranked Districts

A live-ranked ledger of every scored district, ordered by education 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 education metrics, infrastructure data, and gaps worth investigating. Export as PDF.

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

Education Simulator.

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

Source · UDISE+ 2021-22 · NAS 2021 · ASER Reports · Census 2011

Scoring Controls

Calibrate the Index

School Access
ADEQUATESCARCE

Ratio of schools to school-age population. Higher = fewer schools per child.

Learning Outcomes
STRONGWEAK

Composite of NAS scores and pass rates. Higher = worse learning outcomes.

Infrastructure
EQUIPPEDDEFICIENT

Gap in school infrastructure — classrooms, toilets, drinking water, electricity. Higher = greater deficiency.

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 education ledger. Each points to a different kind of gap, and a different lever for intervention.

Finding 0101
23:1
Pupil-Teacher Ratio
National average PTR (elementary level, UDISE+ 2021-22), masking rural extremes exceeding 60:1.
Finding 0202
47%
Grade 3 Reading
Proportion of Grade 3 students who cannot read a Grade 1-level text (NAS 2021). Wide interstate variation.
Finding 0303
0
Underserved Districts
Districts with critically low school access, poor learning outcomes, and infrastructure gaps.
What Comes Next

The same methodology works across every public dataset.

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

CSRHealthEnergy
Updates

We are building education infrastructure indices using UDISE+, NAS, ASER, and Census data.

Coming Soon

Whitespace India Education

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

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