Division of the City of Strasbourg into 10 DistrictsDécoupage de la ville de Strasbourg en 10 quartiers

Découpage de la ville de Strasbourg en 10 quartiersDivision of the City of Strasbourg into 10 Districts

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This dataset provides the division of the city of Strasbourg into ten districts, published via the Strasbourg open data portal. It is intended for territorial analysis and observation, offering a standardized geographic breakdown of the city that can be used to study local demographic, social, or urban indicators at the district level. The dataset is freely accessible without authentication and falls under national geographic scope for France.Découpage de la ville de Strasbourg en 10 quartiers à des fins d'analyses et d'observation du territoire.

geospatial

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Trust score

How is this computed?

fair

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

Data schema (4 fields)

Filterable via the API (2)

id_quart10nom

Click a field to see example values.

Field	Type	Description
geo_point_2dGeo Point	geo_point_2d	Geographic coordinates of the district's centroid.Geographic coordinates of the district's centroid.
geo_shapeShape	geo_shape	Geometric boundary polygon of the district.Geometric boundary polygon of the district.
id_quart10Id quart10	int	Numeric identifier of the district in the 10-district division.Numeric identifier of the district in the 10-district division.
nom	text	Name of the district.Name of the district.

Schema captured from opendatasoft 3 days ago.

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Sample data (5 records)

Record 1nom: Bourse-Esplanade-Krutenau · geo_shape: [large value omitted]

{
  "nom": "Bourse-Esplanade-Krutenau",
  "geo_shape": "[large value omitted]",
  "id_quart10": 7,
  "geo_point_2d": {
    "lat": 48.57805340837964,
    "lon": 7.765113763224038
  }
}

Record 2nom: Koenigshoffen-Montagne Verte-Elsau · geo_shape: [large value omitted]

{
  "nom": "Koenigshoffen-Montagne Verte-Elsau",
  "geo_shape": "[large value omitted]",
  "id_quart10": 10,
  "geo_point_2d": {
    "lat": 48.571347382062605,
    "lon": 7.715098841225947
  }
}

Record 3nom: Robertsau-Wacken · geo_shape: [large value omitted]

{
  "nom": "Robertsau-Wacken",
  "geo_shape": "[large value omitted]",
  "id_quart10": 6,
  "geo_point_2d": {
    "lat": 48.61400106674178,
    "lon": 7.79827738457183
  }
}

Record 4nom: Neudorf-Musau-Port du Rhin · geo_shape: [large value omitted]

{
  "nom": "Neudorf-Musau-Port du Rhin",
  "geo_shape": "[large value omitted]",
  "id_quart10": 9,
  "geo_point_2d": {
    "lat": 48.56997944045209,
    "lon": 7.780130150297827
  }
}

Record 5nom: Cronenbourg-Hautepierre-Poteries-Hohberg · geo_shape: [large value omitted]

{
  "nom": "Cronenbourg-Hautepierre-Poteries-Hohberg",
  "geo_shape": "[large value omitted]",
  "id_quart10": 5,
  "geo_point_2d": {
    "lat": 48.59363632683772,
    "lon": 7.712441856631713
  }
}

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

Verification Status

Using the API

Configuration

Base URL: https://data.strasbourg.eu/api/explore/v2.1/catalog/datasets/strasbourg-10-quartiers

License

Licence Ouverte 2.0 (France / Etalab)Open

✓ Redistributable
✓ Attribution required

Query examples

curl -s 'https://data.strasbourg.eu/api/explore/v2.1/catalog/datasets/strasbourg-10-quartiers/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

2 000 000 req/day

per ipmeasured

observed 3 days ago

Dataset

Volume & freshness

Records

Last upstream update

8 years ago

2018-12-07

License

No license declared upstream.

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Source: opendatasoft

Machine-readable & source

JSON

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