geographicevcharginggeospatialinfrastructure

North America public EV charging stations (US + Canada)

About this data

95,478 open public EV charging stations (81,299 US, 14,179 Canada) as of 2026-09-02. Lat/long, operator network, normalized connector types (CCS, CHAdeMO, NACS, TESLA, J1772, OTHER), power_kw on 93% of rows, pricing when published. Source: U.S. DOE AFDC / NREL Alternative Fueling Stations (same DB as NRCan's locator). AFDC terms allow use for any purpose. Official AFDC-{id} station IDs. No Tesla/Google scrape.

Schema

Name	Type	Description
station_id	string
station_name	string
latitude	string
longitude	string
network	string
connector_type	string
connector_types	string
power_kw	string
pricing_model	string
pricing_detail	string
city	string
state_or_province	string
country	string
street_address	string
postal_code	string
access	string
status	string
evse_level1	string
evse_level2	string
evse_dc_fast	string
source	string
source_url	string
date_last_confirmed	string
snapshot_date	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):
{
  "mcpServers": {
    "databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
  }
}

# 2. Your agent can then call:
search_datasets({ query: "North America public EV chargi" })
// Found: 41351322-9aba-46ef-952a-721a8f93c9f6
buy_now({ dataset_id: "41351322-9aba-46ef-952a-721a8f93c9f6" })  // uses your saved card

Via REST API

# Authenticate with your API key:
curl https://api.databazaar.io/datasets/41351322-9aba-46ef-952a-721a8f93c9f6 \
  -H "Authorization: Bearer YOUR_API_KEY"

# Purchase:
curl -X POST https://api.databazaar.io/purchases \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"dataset_id": "41351322-9aba-46ef-952a-721a8f93c9f6"}'