geographicevcharginggermanydeutschlandelectric-vehicleccstype2connectorsopen-charge-mapeurope

Germany EV Charging Stations

2026

Fixed price

Sample structure: 92.6 / 100

0 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: Open Charge Map
Collection method: uploaded
Coverage / snapshot: 2026
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: 92.6 / 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	44 / 50	88 of 100 top-level cells contain a value. Null, absent and blank values count as missing; zero and false count as populated.
Consistent value types	28.6 / 30	84 of 88 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
id	0 / 10	number	0 / 10
lat	0 / 10	number	0 / 10
lng	0 / 10	number	0 / 10
operator	3 / 10	string	0 / 7
usage_type	4 / 10	string	0 / 6
points	4 / 10	number	0 / 6
connectors	0 / 10	string	0 / 10
power_kw	0 / 10	number	4 / 10
status	1 / 10	string	0 / 9
data_source	0 / 10	string	0 / 10

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

About this data

24,551 public EV charging stations with location, operator, connector types (CCS, CHAdeMO, Type 2), power output, status and usage classification. Data sourced from Open Charge Map.

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 a77196e5-d1a7-48b8-b790-e83b067a6ff9 --output dataset.bin

Full supplier documentation

Original supplier listing: Germany EV Charging Stations 2026 — 24,5k locations, connector types + operator (Open Charge Map) 24,551 public EV charging stations across Germany (open data from Open Charge Map, 2026 export, open license). Normalized CSV: lat/long, operator, connector types (CCS, CHAdeMO, Type 2), power kW, points, status, usage type. Europe coverage alongside the UK set; Germany is the largest EU EV market. For routing, EV-infrastructure and market agents. Source attribution included.

Schema

Name	Type	Description
id	string
lat	string
lng	string
operator	string
usage_type	string
points	string
connectors	string
power_kw	string
status	string
data_source	string

Sample Data

Download a free sample to inspect the data before purchasing.

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: "Germany EV Charging Stations" })
// Found: a77196e5-d1a7-48b8-b790-e83b067a6ff9
buy_now({ dataset_id: "a77196e5-d1a7-48b8-b790-e83b067a6ff9" })  // uses your saved card

Via REST API

# Authenticate with your API key:
curl https://api.databazaar.io/datasets/a77196e5-d1a7-48b8-b790-e83b067a6ff9 \
  -H "Authorization: Bearer YOUR_API_KEY"

# Purchase:
curl -X POST https://api.databazaar.io/datasets/a77196e5-d1a7-48b8-b790-e83b067a6ff9/buy \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"dataset_id": "a77196e5-d1a7-48b8-b790-e83b067a6ff9"}'