Download U.S. Power Plant Data
Free, clean, research-ready datasets for every utility-scale power plant in the United States. Derived from EIA Form 860, EIA Form 923, and EPA eGRID federal releases. No registration required.
Per-state CSV downloads
Each file contains every power plant in the state with the following columns:
| Column | Description | Example |
|---|---|---|
plant_code | EIA ORISPL plant identifier | 3470 |
name | Plant name | W A Parish |
state | Two-letter state code | TX |
county | County name | Fort Bend |
city | City | Thompsons |
lat | Latitude (WGS84) | 29.4828 |
lng | Longitude (WGS84) | -95.6311 |
fuel_category | Primary fuel type | COAL, GAS, NUCLEAR, SOLAR, WIND... |
nameplate_mw | Nameplate capacity (megawatts) | 4008 |
net_generation_mwh | Annual net generation (MWh, from EPA eGRID) | 18500000 |
co2_tons | Annual CO₂ emissions (metric tons) | 15200000 |
operator | Utility/operator name | NRG Texas Power |
url | Detail page on PowerPlantsNearMe.com | https://powerplantsnearme.com/plant/w-a-parish-3470 |
JSON API
For programmatic access, filtering, and proximity searches, use the free JSON API. It supports state and fuel filtering, nearby-coordinate lookups, and returns CORS-enabled JSON with no API key required.
Embeddable widget
Need to show power plant data on your own site? The embeddable widget lets you drop a proximity table onto any page with one line of HTML.
Data sources & methodology
All data is derived from three federal datasets:
- EIA Form 860 — plant locations, operators, generators, fuel types, nameplate capacity
- EIA Form 923 — monthly generation and fuel consumption
- EPA eGRID — annual emissions (CO₂, SO₂, NOₓ), emission rates, capacity factors
For full details on how datasets are joined and known limitations, see the methodology page.
Citation
If you use this data in published work, please cite:
PowerPlantsNearMe.com. (2026). U.S. Power Plant Directory, derived from EIA Form 860, EIA Form 923, and EPA eGRID. Retrieved from https://powerplantsnearme.com/data
License
The underlying data is public domain (U.S. federal government publications). Our derived datasets and API are free to use for any purpose — commercial, academic, personal. Attribution is appreciated but not legally required.