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Kreise - Vintage/Millésimé - Germany

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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 Kreise (districts) level. Da...

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Trust score

How is this computed?
42
fair

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

Data schema (10 fields)

Filterable via the API (8)
yearlan_codelan_namekrs_codekrs_namekrs_area_codekrs_typekrs_name_short

Click a field to see example values.

FieldTypeDescription
geo_point_2dGeo Pointgeo_point_2d—
geo_shapeShapegeo_shape—
yearFilterable via the APIdate—
lan_codeFilterable via the APILand codetext—
lan_nameFilterable via the APILand nametext—
krs_codeFilterable via the APIKreis codetext—
krs_nameFilterable via the APIKreis nametext—
krs_area_codeFilterable via the APIISO 3166-3 Area codetext—
krs_typeFilterable via the APITypetext—
krs_name_shortFilterable via the APIKreis name (short)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.

=

Sample data (5 records)

Record 1year: 2019 · krs_code: ["13073"]
{
  "year": "2019",
  "krs_code": [
    "13073"
  ],
  "krs_name": [
    "Landkreis Vorpommern-Rügen"
  ],
  "krs_type": "Landkreis",
  "lan_code": [
    "13"
  ],
  "lan_name": [
    "Mecklenburg-Vorpommern"
  ],
  "geo_shape": "[large value omitted]",
  "geo_point_2d": {
    "lat": 54.28433825124999,
    "lon": 12.993050075770018
  },
  "krs_area_code": "DEU",
  "krs_name_short": [
    "Vorpommern-Rügen"
  ]
}
Record 2year: 2019 · krs_code: ["13074"]
{
  "year": "2019",
  "krs_code": [
    "13074"
  ],
  "krs_name": [
    "Landkreis Nordwestmecklenburg"
  ],
  "krs_type": "Landkreis",
  "lan_code": [
    "13"
  ],
  "lan_name": [
    "Mecklenburg-Vorpommern"
  ],
  "geo_shape": "[large value omitted]",
  "geo_point_2d": {
    "lat": 53.82146255285585,
    "lon": 11.251997595356391
  },
  "krs_area_code": "DEU",
  "krs_name_short": [
    "Nordwestmecklenburg"
  ]
}
Record 3year: 2019 · krs_code: ["16062"]
{
  "year": "2019",
  "krs_code": [
    "16062"
  ],
  "krs_name": [
    "Landkreis Nordhausen"
  ],
  "krs_type": "Landkreis",
  "lan_code": [
    "16"
  ],
  "lan_name": [
    "Thüringen"
  ],
  "geo_shape": "[large value omitted]",
  "geo_point_2d": {
    "lat": 51.50226235116376,
    "lon": 10.730883338763167
  },
  "krs_area_code": "DEU",
  "krs_name_short": [
    "Nordhausen"
  ]
}
Record 4year: 2017 · krs_code: ["03451"]
{
  "year": "2017",
  "krs_code": [
    "03451"
  ],
  "krs_name": [
    "Landkreis Ammerland"
  ],
  "krs_type": "Landkreis",
  "lan_code": [
    "03"
  ],
  "lan_name": [
    "Niedersachsen"
  ],
  "geo_shape": "[large value omitted]",
  "geo_point_2d": {
    "lat": 53.218496699794024,
    "lon": 8.013289908035286
  },
  "krs_area_code": "DEU",
  "krs_name_short": [
    "Ammerland"
  ]
}
Record 5year: 2017 · krs_code: ["05120"]
{
  "year": "2017",
  "krs_code": [
    "05120"
  ],
  "krs_name": [
    "Kreisfreie Stadt Remscheid"
  ],
  "krs_type": "Kreisfreie Stadt",
  "lan_code": [
    "05"
  ],
  "lan_name": [
    "Nordrhein-Westfalen"
  ],
  "geo_shape": "[large value omitted]",
  "geo_point_2d": {
    "lat": 51.18270362341765,
    "lon": 7.224120945892812
  },
  "krs_area_code": "DEU",
  "krs_name_short": [
    "Remscheid"
  ]
}

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-kreis-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-kreis-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
3.2k
3204
Update cadence
Annual
declared upstream
Last upstream update
1 month ago
2026-07-31
Temporal coverage
2017 → ongoing

License

No license declared upstream.

○ Documentation○ Data dictionary○ Versioning

Source: opendatasoft

Machine-readable & source

JSON
Kreise - Vintage/Millésimé - Germany — live verification badge

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