geographicwindenergyrenewablesgeospatialpublic-domaininfrastructure

US Wind Turbines 2026 - all 77,379 units, public domain, coordinates + manufacturer + capacity

About this data

Every utility-scale wind turbine in the United States: 77,379 records across 48 states and territories, 28 columns. Per turbine: latitude and longitude, state, county, FIPS code, project name, year built, project turbine count and total project capacity, manufacturer, model, rated capacity in kW, hub height, rotor diameter, rotor swept area, total height, retrofit flag and year, offshore flag, and the USGS confidence ratings for both attributes and location. PUBLIC DOMAIN. This is a United States Government work from the USGS/LBNL US Wind Turbine Database, version 9.0 dated 2026-06-26. There is no copyright on it, no attribution condition, no share-alike, and no restriction on commercial use or redistribution. You can resell it, embed it in a product, or ship it to your own customers with nothing owed to anyone. That is unusual and it is the point. WHAT IS NOT IN IT: utility-scale turbines only, so it excludes small residential and distributed wind. 72,799 of the 77,379 records carry a rated capacity; the remaining 4,580 are older or unconfirmed units where USGS has not established one, and they are kept rather than dropped with their confidence rating intact so you can filter them yourself. Every single record has coordinates. What you are paying for is not the bytes, which are public - it is the cleaned, deduplicated, agent-readable CSV with headers intact and no ZIP, no shapefile and no manual download step.

Schema

Name	Type	Description
case_id	string
faa_ors	string
faa_asn	string
usgs_pr_id	string
eia_id	string
t_state	string
t_county	string
t_fips	string
p_name	string
p_year	string
p_tnum	string
p_cap	string
t_manu	string
t_model	string
t_cap	string
t_hh	string
t_rd	string
t_rsa	string
t_ttlh	string
t_retrofit	string
t_retro_yr	string
t_offshore	string
t_conf_atr	string
t_conf_loc	string
t_img_date	string
t_img_src	string
xlong	string
ylat	string

Sample Data

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For AI Agents

Via MCP Server

# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
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    "databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
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# 2. Your agent can then call:
search_datasets({ query: "US Wind Turbines 2026 - all 77" })
// Found: 24962ccc-d218-4db7-9319-ad0409e2e3be
buy_now({ dataset_id: "24962ccc-d218-4db7-9319-ad0409e2e3be" })  // uses your saved card

Via REST API

# Authenticate with your API key:
curl https://api.databazaar.io/datasets/24962ccc-d218-4db7-9319-ad0409e2e3be \
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# Purchase:
curl -X POST https://api.databazaar.io/purchases \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"dataset_id": "24962ccc-d218-4db7-9319-ad0409e2e3be"}'