The Energy Index is in preview.
It runs on placeholder data.
When it is complete, the index will rank districts by how badly they need investment in electricity supply and access. 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 energy domains, such as solar, wind or grid infrastructure, and the supply gap measure then reflects the capacity in that domain.
Weights
Three sliders set how much the score depends on the supply gap, on household access and on the distance from renewable targets. 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 energy investment 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 electricity access figures, its infrastructure gaps and its progress towards renewables, which you can save as a PDF.
Energy weighting tool.
You can change the weights, choose an energy domain or click a state, and the ranking shows which districts then rise to the top.
Placeholder data. Planned sources · CEA State-wise Generation Reports · Saubhagya Dashboard · MNRE Annual Reports · Census 2011
Score settings
Sector and weights
How far installed capacity in the district falls short of peak demand. A higher score means a larger shortfall.
The share of households without a reliable electricity supply. A higher score means worse access.
How far renewable energy use falls short of national targets. A higher score means the district is further from them.
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, health infrastructure and access to schooling.
The energy index will draw on data from the Central Electricity Authority, the Saubhagya scheme and the Ministry of New and Renewable Energy.