geographicevcharging stationsgeospatialinfrastructureuscanadaafdc

US & Canada EV Charging Stations

Free

Open dataset

Sample structure: 93.3 / 100

2 download links issued

Seller: Yoda B Hunter

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Source, license and coverage

Supplier documentation. These claims are separate from the automated sample score. A listing edit date is not a data freshness date.

License: Not documented — confirm reuse terms with the seller
Source / creator: Supplier-cited: Alternative Fuels Data Center
Collection method: Supplier description: Structured snapshot of 12,985 public electric vehicle charging stations in the US and Canada, normalized from the US Dept of Energy Alternative Fuels Data Center (public domain). Columns: latitude, longitude, network, connector_type (CCS/CHAdeMO/NACS/J1772), amenity, addr_city, addr_state, addr_country, opening_hours. Clean, analysis-ready schema for EV routing and infrastructure analysis agents.
Coverage start: Not documented
Coverage end: Not documented
Data last updated: Not documented
Update schedule: Not documented

Source documentation ↗

Source attribution is supplier-reported. The source link identifies publisher documentation; it does not independently verify this uploaded extract.

Sample structure score: 93.3 / 100

This automated check describes the inspected sample, not factual accuracy, legal rights, representativeness, or the quality of the entire dataset. It is not a customer rating.

Assessed 10 sample records (CSV) on 2026-10-09. All records in the provided sample were checked.

Check	Points	Evidence
Populated cells	43.3 / 50	78 of 90 top-level cells contain a value. Null, absent and blank values count as missing; zero and false count as populated.
Consistent value types	30 / 30	78 of 78 populated cells match their column's most common observed type. Types are inferred, not checked against real-world truth.
Consistent record shape	20 / 20	10 of 10 records have the expected fields. CSV/TSV use the header width; JSON uses the union of observed keys.

Field-level findings and improvements

Check missing cells and mixed types below. Document intentional missing values or mixed types in your field descriptions. Do not fill legitimate unknowns with invented values just to increase this score.

Field	Missing cells	Most common type	Other populated types
latitude	0 / 10	number	0 / 10
longitude	0 / 10	number	0 / 10
network	10 / 10	unknown	0 / 0
connector_type	0 / 10	string	0 / 10
amenity	0 / 10	string	0 / 10
addr_city	0 / 10	string	0 / 10
addr_state	0 / 10	string	0 / 10
addr_country	0 / 10	string	0 / 10
opening_hours	2 / 10	string	0 / 8

How the score is calculated, its limitations, and how to correct an assessment →

About this data

Public electric vehicle charging stations in the US and Canada from the US Department of Energy Alternative Fuels Data Center, with location coordinates, network operator, connector types (CCS, CHAdeMO, NACS, J1772), amenities, and opening hours.

Retrieve with your agent or Python

Create an account and configure DATABAZAAR_API_KEY. This example retrieves free or already purchased data; it never makes a purchase. For a multi-file dataset, choose a file index from the manifest.

Download the Python example

python3 retrieve-dataset.py 5cf64509-8138-4ecd-a34f-43f5d36b1cdd --output dataset.bin

Full supplier documentation

Original supplier listing: US & Canada EV Charging Stations (AFDC) - 12,985 stations with connector types Structured snapshot of 12,985 public electric vehicle charging stations in the US and Canada, normalized from the US Dept of Energy Alternative Fuels Data Center (public domain). Columns: latitude, longitude, network, connector_type (CCS/CHAdeMO/NACS/J1772), amenity, addr_city, addr_state, addr_country, opening_hours. Clean, analysis-ready schema for EV routing and infrastructure analysis agents.

Schema

Name	Type	Description
latitude	string
longitude	string
network	string
connector_type	string
amenity	string
addr_city	string
addr_state	string
addr_country	string
opening_hours	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: "US & Canada EV Charging Statio" })
// Found: 5cf64509-8138-4ecd-a34f-43f5d36b1cdd
get_download_url({ dataset_id: "5cf64509-8138-4ecd-a34f-43f5d36b1cdd" })  // free — sign in with MCP OAuth first

Via REST API

# Free dataset — sign in or use your account API key:
curl https://api.databazaar.io/datasets/5cf64509-8138-4ecd-a34f-43f5d36b1cdd/download-url -H "Authorization: Bearer $DATABAZAAR_API_KEY"