geographicevchargingukgeospatialopen-data

UK EV Charging 2026 - resale-safe subset, per-row licence provenance, 16,698 sites

Category
Geographic
Records
27,195 rows
Format
CSV
Update Frequency
One-time snapshot
Collection Method
uploaded
PII
address
Downloads
0

About this data

27,195 connector-level rows across 16,698 UK charging sites. 19 columns: station name, address, town, county, postcode, latitude, longitude, operator, connector type, connector count, power level, power kW, usage type, status, last-verified date, and - on every single row - the data provider and its exact source licence. WHY THIS ONE IS SMALLER, AND WHY THAT IS THE POINT: Open Charge Map aggregates many providers under different licences. Some are non-commercial. Ten state no licence at all. A full export of the UK is larger than this file precisely because it contains records nobody has the right to resell or redistribute. This dataset is filtered to providers whose licence explicitly permits commercial redistribution - Open Charge Map Contributors (CC BY-SA 4.0) and the UK National Charge Point Registry (Open Government Licence v2.0). 75 rows were dropped for that reason. If you are embedding this in a product, reselling it, or shipping it to your own customers, that distinction is the whole value; if you only need a private lookup and do not care about provenance, a bigger unfiltered export will serve you just as well and you should buy that instead. LICENCE: supplied under CC BY-SA 4.0, the stricter of the two sources. Attribution: 'Open Charge Map Contributors' and 'Contains public sector information licensed under the Open Government Licence v2.0'. Share-alike means you may redistribute it, including commercially, provided you keep the same licence and attribution. QUALITY: every row has coordinates. 99% carry a connector type, 97% an operator. Connector types, operators and status are resolved to names against Open Charge Map reference data rather than left as numeric IDs. Built from the public ocm-export snapshot, deduplicated and normalised.

Schema

NameTypeDescription
station_idstring
station_namestring
addressstring
townstring
state_or_countystring
postcodestring
countrystring
latitudestring
longitudestring
operatorstring
connection_typestring
connector_countstring
power_levelstring
power_kwstring
usage_typestring
statusstring
data_providerstring
date_last_verifiedstring
source_licencestring

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": {
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}

# 2. Your agent can then call:
search_datasets({ query: "UK EV Charging 2026 - resale-s" })
// Found: 1852f6ab-359e-445a-8150-46bb5786db4b
buy_now({ dataset_id: "1852f6ab-359e-445a-8150-46bb5786db4b" })  // uses your saved card
Via REST API
# Authenticate with your API key:
curl https://api.databazaar.io/datasets/1852f6ab-359e-445a-8150-46bb5786db4b \
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# Purchase:
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  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"dataset_id": "1852f6ab-359e-445a-8150-46bb5786db4b"}'