From darkness
to light.

Four steps to surface the districts most in need of energy infrastructure investment. Transparent scoring, ranked by opportunity.

Read the Methodology
Districts scored
651
Data window
2020–23
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 energy domain — solar, wind, grid infrastructure, or any of seven focus areas. The supply gap dimension adjusts to reflect sector-specific capacity.

Weighting02

Set Your Priorities

Three weight sliders. Adjust to reflect your organisation's priorities — supply gaps, access equity, or transition readiness. Pick a preset or calibrate manually.

Output03

See Ranked Districts

A live-ranked ledger of every scored district, ordered by energy investment 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 energy access data, infrastructure gaps, and transition metrics. Export as PDF.

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

Energy Simulator.

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

Source · CEA State-wise Generation Reports · Saubhagya Dashboard · MNRE Annual Reports · Census 2011

Scoring Controls

Calibrate the Index

Supply Gap
SURPLUSDEFICIT

Deficit between installed capacity and peak demand in the district. Higher = greater shortfall.

Access Equity
CONNECTEDDARK

Proportion of households without reliable electricity access. Higher = worse access.

Transition Readiness
TRANSITIONINGFOSSIL-LOCKED

Gap in renewable energy adoption vs national targets. Higher = further from transition goals.

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

Finding 0101
31 GW
Peak Deficit
Aggregate peak supply-demand gap across energy-deficit states, concentrated in eastern and northeastern India.
Finding 0202
2.4 Cr
Unelectrified Households
Households without reliable electricity access per Saubhagya scheme data, disproportionately in rural areas.
Finding 0303
0
Underserved Districts
Districts with critical energy access gaps and minimal renewable capacity — intervention priorities.
What Comes Next

The same methodology works across every public dataset.

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

CSRHealthEducation
Updates

We are building energy access and transition indices using CEA, Saubhagya, and MNRE data.

Coming Soon

Whitespace India Energy

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

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