EV Infra Advisory

Arunachal Pradesh EV Charging Opportunity Index Research beta — not performance-validated

A screening index for where charging demand may outrun existing supply, across 20,900 hexagonal cells covering 83,244 km² of Arunachal Pradesh. It identifies areas to investigate — it does not identify viable sites.

Modeled estimates, not measurements — and not validated. This index has not been tested against measured charging consumption in Arunachal Pradesh. Treat this state's scores as weaker than the others here. Charger power is imputed for 100% of stations and only 1 stations could be found at all. The supply side of the model is largely inferred, so a high score here means “little visible supply”, which is not the same as “no supply”. The boundary used here is OpenStreetMap's, and this territory is subject to an unresolved international dispute. The grid is clipped to the boundary OpenStreetMap publishes and covers nothing beyond it. That boundary reflects the dispute rather than settling it, so what is screened here should not be read as a statement about sovereignty or administration by anyone, including us. Cells near the boundary are the least reliable on this page for that reason as well as the usual ones. Private and captive chargers are invisible to every public source. Treat this as a starting point for enquiry, never as a basis for committing capital.

Try Hangu, Taching Panga, 27.546, 93.826, or an H3 cell id. Searching shows the score for the exact cell containing that point.

Interactive map unavailable

Your browser could not start the map display. You can still browse and inspect every ranked opportunity zone using the list on this page — all scores and read-outs work normally.

Score 60 100 electric bus corridor e-bus city fleet sanctioned, not yet running Only cells scoring 60+ are shaded — roughly 18% of Arunachal Pradesh. Scores cluster near 50 across the rural bulk, where demand and existing supply are both near zero. Electric bus corridors show highways carrying known e-bus services. Blue dots mark cities served, including pairs whose road alignment we don't model — those are city pairs served, not surveyed routes.