Länder - Vintage - GermanyLänder - Vintage/Millésimé - Germany

Name: Länder - Vintage - Germany
Creator: opendatasoft

Länder - Vintage/Millésimé - GermanyLänder - Vintage - Germany

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This dataset forms part of a geographical reference collection maintained by Opendatasoft (Huwise), used by various data processors and tools. It is derived from the Verwaltungsgebiete 1:250 000 (VG250) administrative boundaries dataset published by Germany's Federal Agency for Cartography and Geodesy (BKG), covering data from 2017 onward. The dataset provides boundary and reference information for Germany at the Länder (federal state) level, including successive vintages reflecting administrative changes over time. It is intended for use in geographic information systems and applications requiring standardized German state-level administrative boundaries.This dataset is part of the Geographical repository maintained by Huwise. Processors and tools are using this data. They have been extracted from the Verwaltungsgebiete 1:250 000 (VG250) published by BKG, and contain data since 2017. This dataset covers Germany at the Länder (states) level. Data...

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Trust score

How is this computed?

fair

Weighted across five axes. Tap a ring for what it measures.

Data schema (8 fields)

Filterable via the API (6)

yearlan_codelan_namelan_area_codelan_typelan_name_long

Click a field to see example values.

Field	Type	Description
geo_point_2dGeo Point	geo_point_2d	—
geo_shapeShape	geo_shape	—
year	date	—
lan_codeLand code	text	—
lan_nameLand name	text	—
lan_area_codeISO 3166-3 Area code	text	—
lan_typeType	text	—
lan_name_longLand name (long)	text	—

Schema captured from opendatasoft 7 days ago.

Query the data

Pick columns and a sort, then fetch a live preview straight from the source. Choose an API-filterable column (marked ▾) under “Where” to pick from its list of values.

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Sample data (5 records)

Record 1year: 2025 · lan_code: ["13"]

{
  "year": "2025",
  "lan_code": [
    "13"
  ],
  "lan_name": [
    "Mecklenburg-Vorpommern"
  ],
  "lan_type": "Land",
  "geo_shape": "[large value omitted]",
  "geo_point_2d": {
    "lat": 53.75320600822798,
    "lon": 12.534597106097866
  },
  "lan_area_code": "DEU",
  "lan_name_long": [
    "Land Mecklenburg-Vorpommern"
  ]
}

Record 2year: 2019 · lan_code: ["11"]

{
  "year": "2019",
  "lan_code": [
    "11"
  ],
  "lan_name": [
    "Berlin"
  ],
  "lan_type": "Land",
  "geo_shape": "[large value omitted]",
  "geo_point_2d": {
    "lat": 52.50152899568039,
    "lon": 13.401861150928305
  },
  "lan_area_code": "DEU",
  "lan_name_long": [
    "Land Berlin"
  ]
}

Record 3year: 2020 · lan_code: ["09"]

{
  "year": "2020",
  "lan_code": [
    "09"
  ],
  "lan_name": [
    "Bayern"
  ],
  "lan_type": "Freistaat",
  "geo_shape": "[large value omitted]",
  "geo_point_2d": {
    "lat": 48.94757842377526,
    "lon": 11.419913917162138
  },
  "lan_area_code": "DEU",
  "lan_name_long": [
    "Freistaat Bayern"
  ]
}

Record 4year: 2024 · lan_code: ["16"]

{
  "year": "2024",
  "lan_code": [
    "16"
  ],
  "lan_name": [
    "Thüringen"
  ],
  "lan_type": "Freistaat",
  "geo_shape": "[large value omitted]",
  "geo_point_2d": {
    "lat": 50.90387275229578,
    "lon": 11.024867319227557
  },
  "lan_area_code": "DEU",
  "lan_name_long": [
    "Freistaat Thüringen"
  ]
}

Record 5year: 2023 · lan_code: ["10"]

{
  "year": "2023",
  "lan_code": [
    "10"
  ],
  "lan_name": [
    "Saarland"
  ],
  "lan_type": "Land",
  "geo_shape": "[large value omitted]",
  "geo_point_2d": {
    "lat": 49.38437032077102,
    "lon": 6.953120069986476
  },
  "lan_area_code": "DEU",
  "lan_name_long": [
    "Saarland"
  ]
}

Live sample captured at profiling time — values may have changed upstream.

Verification Status

Using the API

Configuration

Base URL: https://public.opendatasoft.com/api/explore/v2.1/catalog/datasets/georef-germany-land-millesime

License

Data licence Germany — attribution 2.0 (DL-DE-BY-2.0)Open

✓ Redistributable
✓ Attribution required

Query examples

curl -s 'https://public.opendatasoft.com/api/explore/v2.1/catalog/datasets/georef-germany-land-millesime/records?limit=20' -H 'Accept: application/json'

First 20 records of the dataset as JSON.

Uses the Opendatasoft Explore v2.1 syntax — supports select, where, group_by and order_by.

Full API documentation ↗

Rate limits

10 000 000 req/day

per ipmeasured

observed 7 days ago

Dataset

Volume & freshness

Records

128

Update cadence

Annual

declared upstream

Last upstream update

1 month ago

2026-07-31

Temporal coverage

2017 → ongoing

License

No license declared upstream.

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Source: opendatasoft

Machine-readable & source

JSON

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