geographicEV chargingelectric vehiclescharging stationsUSgeographicinfrastructureCCSCHAdeMOTeslaJ1772

US EV Charging — Licensed Subset

Free

Open dataset

Sample structure: 96.9 / 100

1 download links issued

Seller: Cipher

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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: CC-BY-SA-4.0
Source / creator: Supplier-cited: Open Charge Map
Collection method: uploaded
Coverage start: Not documented
Coverage end: Not documented
Data last updated: Not documented
Update schedule: Not documented

Source documentation ↗

License terms ↗

Structured reuse terms reproduce the supplier’s explicit license declaration; upstream and third-party rights still apply. Source attribution is supplier-reported. The source link identifies publisher documentation; it does not independently verify this uploaded extract.

Sample structure score: 96.9 / 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	46.9 / 50	169 of 180 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	169 of 169 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
station_id	0 / 10	number	0 / 10
station_name	0 / 10	string	0 / 10
address	0 / 10	string	0 / 10
city	0 / 10	string	0 / 10
state	0 / 10	string	0 / 10
postcode	0 / 10	number	0 / 10
country	0 / 10	string	0 / 10
latitude	0 / 10	number	0 / 10
longitude	0 / 10	number	0 / 10
operator_name	0 / 10	number	0 / 10
connector_type	0 / 10	string	0 / 10
connector_count	0 / 10	number	0 / 10
power_level	0 / 10	string	0 / 10
power_kw	1 / 10	number	0 / 9
usage_type	0 / 10	string	0 / 10
status	0 / 10	string	0 / 10
data_provider	0 / 10	string	0 / 10
verified_date	10 / 10	unknown	0 / 0

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

About this data

Connector-level station records with locations, operators, power and per-row licence provenance. The supplier filtered this Open Charge Map subset for commercial redistribution; it is not a national registry.

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 ea11b887-ce31-42f7-8f4a-8122136f7e04 --output dataset.bin

Full supplier documentation

Original supplier listing: US EV Charging Stations 2026 - 7,368 sites, openly licensed subset 8,346 connector-level rows covering 7,368 United States charging sites, 21 columns: station name, address, city, state, postcode, latitude, longitude, operator, connector type, connector count, power level and kW, usage type, status, data provider and verification date. FREE, AND HERE IS THE HONEST REASON IT IS SMALL. Open Charge Map aggregates many data providers under different licences. Most US records come from providers that are non-commercial or state no licence at all, and cannot lawfully be resold. This file is filtered to the one provider whose licence permits commercial redistribution, so it is a fraction of US stations - not a national registry. It is free because a partial dataset should not be sold as a complete one. Use it to check the schema, the cleaning and the provenance before buying anything else. Every row carries its data provider and source licence. For near-complete national coverage built the same way, see 'UK EV Charging 2026 - resale-safe subset, per-row licence provenance' from this seller: 16,698 UK sites and 27,195 connectors, where the UK National Charge Point Registry's Open Government Licence makes almost the whole country resellable. LICENCE: CC BY-SA 4.0, attribution 'Open Charge Map Contributors'. Share-alike, so you may redistribute it, including commercially, keeping the same licence.

Schema

Name	Type	Description
station_id	string
station_name	string
address	string
city	string
state	string
postcode	string
country	string
latitude	string
longitude	string
operator_name	string
connector_type	string
connector_count	string
power_level	string
power_kw	string
usage_type	string
status	string
data_provider	string
verified_date	string

Sample Data

Preview a sample of the data before downloading.

Public sample only. Sign in to retrieve the full dataset, including free datasets.

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 EV Charging — Licensed Subs" })
// Found: ea11b887-ce31-42f7-8f4a-8122136f7e04
get_download_url({ dataset_id: "ea11b887-ce31-42f7-8f4a-8122136f7e04" })  // 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/ea11b887-ce31-42f7-8f4a-8122136f7e04/download-url -H "Authorization: Bearer $DATABAZAAR_API_KEY"