Länder - Germany
This dataset forms part of the geographical reference collection maintained by Opendatasoft and is used by various data-processing tools. It is derived from the Verwaltungsgebiete 1:250 000 (VG250) dataset published by Germany's Federal Agency for Cartography and Geodesy (BKG), reflecting boundaries as of 2020. It covers Germany at the Länder (federal states) administrative level, providing geographic boundary data for each of the country's states. The dataset is useful for mapping, spatial analysis, and applications requiring standardized administrative divisions of Germany at the state level.This dataset is part of the Geographical repository maintained by Opendatasoft. Processors and tools are using this data. They have been extracted from the Verwaltungsgebiete 1:250 000 (VG250) published by BKG, and contain data from 2020. This dataset covers Germany at the Länder (states) level....
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Data schema (8 fields)
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 6 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.
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: 2025 · lan_code: ["16"]
{
"year": "2025",
"lan_code": [
"16"
],
"lan_name": [
"Thüringen"
],
"lan_type": "Freistaat",
"geo_shape": "[large value omitted]",
"geo_point_2d": {
"lat": 50.90387300022924,
"lon": 11.024867374655829
},
"lan_area_code": "DEU",
"lan_name_long": [
"Freistaat Thüringen"
]
}Record 3year: 2025 · lan_code: ["06"]
{
"year": "2025",
"lan_code": [
"06"
],
"lan_name": [
"Hessen"
],
"lan_type": "Land",
"geo_shape": "[large value omitted]",
"geo_point_2d": {
"lat": 50.603248227547176,
"lon": 9.031062468150475
},
"lan_area_code": "DEU",
"lan_name_long": [
"Land Hessen"
]
}Record 4year: 2025 · lan_code: ["09"]
{
"year": "2025",
"lan_code": [
"09"
],
"lan_name": [
"Bayern"
],
"lan_type": "Freistaat",
"geo_shape": "[large value omitted]",
"geo_point_2d": {
"lat": 48.94758053075392,
"lon": 11.419914035054274
},
"lan_area_code": "DEU",
"lan_name_long": [
"Freistaat Bayern"
]
}Record 5year: 2025 · lan_code: ["04"]
{
"year": "2025",
"lan_code": [
"04"
],
"lan_name": [
"Bremen"
],
"lan_type": "Freie Hansestadt",
"geo_shape": "[large value omitted]",
"geo_point_2d": {
"lat": 53.19966774419495,
"lon": 8.743444624532783
},
"lan_area_code": "DEU",
"lan_name_long": [
"Freie Hansestadt Bremen"
]
}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
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://public.opendatasoft.com/api/explore/v2.1/catalog/datasets/georef-germany-land/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.
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Dataset
Volume & freshness
License
No license declared upstream.
Source: opendatasoft
Machine-readable & source
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