Länder - Vintage/Millésimé - Germany
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...
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
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 2 hours 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: ["07"]
{
"year": "2025",
"lan_code": [
"07"
],
"lan_name": [
"Rheinland-Pfalz"
],
"lan_type": "Land",
"geo_shape": "[large value omitted]",
"geo_point_2d": {
"lat": 49.91368915894463,
"lon": 7.4491246801400575
},
"lan_area_code": "DEU",
"lan_name_long": [
"Land Rheinland-Pfalz"
]
}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: 2023 · lan_code: ["01"]
{
"year": "2023",
"lan_code": [
"01"
],
"lan_name": [
"Schleswig-Holstein"
],
"lan_type": "Land",
"geo_shape": "[large value omitted]",
"geo_point_2d": {
"lat": 54.18407842289571,
"lon": 9.816214535206012
},
"lan_area_code": "DEU",
"lan_name_long": [
"Land Schleswig-Holstein"
]
}Record 4year: 2023 · lan_code: ["09"]
{
"year": "2023",
"lan_code": [
"09"
],
"lan_name": [
"Bayern"
],
"lan_type": "Freistaat",
"geo_shape": "[large value omitted]",
"geo_point_2d": {
"lat": 48.94757898114148,
"lon": 11.419913072038343
},
"lan_area_code": "DEU",
"lan_name_long": [
"Freistaat Bayern"
]
}Record 5year: 2023 · lan_code: ["16"]
{
"year": "2023",
"lan_code": [
"16"
],
"lan_name": [
"Thüringen"
],
"lan_type": "Freistaat",
"geo_shape": "[large value omitted]",
"geo_point_2d": {
"lat": 50.90387166350667,
"lon": 11.024868061947307
},
"lan_area_code": "DEU",
"lan_name_long": [
"Freistaat Thüringen"
]
}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
- ✓ 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.
Rate limits
Dataset
Volume & freshness
License
No license declared upstream.
Source: opendatasoft
Machine-readable & source
Embed this badge in a README or wiki — it always shows the latest verification state and quality tier.