2020-2026 Boundaries of the 20 Neighbourhood Representatives of the City of Strasbourg2020-2026 Périmètres des 20 référents.es de quartier de la Ville de Strasbourg

2020-2026 Périmètres des 20 référents.es de quartier de la Ville de Strasbourg2020-2026 Boundaries of the 20 Neighbourhood Representatives of the City of Strasbourg

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This API provides the administrative boundaries used by the City of Strasbourg for the 2020-2026 term, during which the city is divided into 20 election-based neighbourhoods (quartiers Élus), derived from the cantonal division. Each neighbourhood is assigned an elected neighbourhood representative. The dataset is published as open data by the City of Strasbourg and is related to a companion dataset covering the perimeters of the 13 deputy neighbourhood officials for the same mandate. It supports mapping and administrative analysis of local political representation at neighbourhood level within the municipality.Pour le mandat 2020-2026, la Ville de Strasbourg est découpée administrativement en 20 quartiers Élus, basés sur le découpage cantonal. À chaque quartier est associé un élu de quartier. Le découpage pour le mandat en cours est consultable via le jeu de donnée Périmètres des 13 adjoint.es de quart...

geospatial

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How is this computed?

fair

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Data schema (6 fields)

Filterable via the API (4)

referentdistrictcodepop_rp2017nom_du_quartier

Click a field to see example values.

Field	Type	Description
referent	text	Name of the district's elected local representative.Nom du référent
districtcode	text	District code used for the 'Lieux' (places) dataset.Code quartier pour le fichier "Lieux"
pop_rp2017Pop rp2017	int	Population figure from the 2017 census.Population selon RP 2017
geo_shapeShape	geo_shape	Geographic boundary polygon of the district.Geographic boundary polygon of the district.
nom_du_quartierNom du quartier	text	Name of the district.Name of the district.
geo_point_2dCoordinates	geo_point_2d	Geographic coordinates (latitude, longitude) of the district's centroid.Geographic coordinates (latitude, longitude) of the district's centroid.

Schema captured from opendatasoft 2 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 1referent: G. Libsig · geo_shape: [large value omitted]

{
  "referent": "G. Libsig",
  "geo_shape": "[large value omitted]",
  "pop_rp2017": 13121,
  "districtcode": "SQ_103",
  "geo_point_2d": {
    "lat": 48.59476945139231,
    "lon": 7.722473205351892
  },
  "nom_du_quartier": "Cronenbourg-Sud"
}

Record 2referent: M.-D. Dreyssé · geo_shape: [large value omitted]

{
  "referent": "M.-D. Dreyssé",
  "geo_shape": "[large value omitted]",
  "pop_rp2017": 13371,
  "districtcode": "SQ_106",
  "geo_point_2d": {
    "lat": 48.58235989303601,
    "lon": 7.733588936447145
  },
  "nom_du_quartier": "Gare"
}

Record 3referent: A. Ramdane · geo_shape: [large value omitted]

{
  "referent": "A. Ramdane",
  "geo_shape": "[large value omitted]",
  "pop_rp2017": 16271,
  "districtcode": "SQ_110",
  "geo_point_2d": {
    "lat": 48.55572160847753,
    "lon": 7.747026581006239
  },
  "nom_du_quartier": "Meinau"
}

Record 4referent: H. Loubardi · geo_shape: [large value omitted]

{
  "referent": "H. Loubardi",
  "geo_shape": "[large value omitted]",
  "pop_rp2017": 12517,
  "districtcode": "SQ_111",
  "geo_point_2d": {
    "lat": 48.56714859144647,
    "lon": 7.710827230202522
  },
  "nom_du_quartier": "Montagne-Verte"
}

Record 5referent: J. Herry · geo_shape: [large value omitted]

{
  "referent": "J. Herry",
  "geo_shape": "[large value omitted]",
  "pop_rp2017": 11814,
  "districtcode": "SQ_114",
  "geo_point_2d": {
    "lat": 48.52208715561522,
    "lon": 7.781935068426097
  },
  "nom_du_quartier": "Neuhof-Sud"
}

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/quartiers_elus_2020

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/quartiers_elus_2020/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 2 days ago

Dataset

Volume & freshness

Records

Update cadence

Irregular

declared upstream

Last upstream update

3 years ago

2023-07-11

Temporal coverage

2020 → ongoing

License

No license declared upstream.

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Source: opendatasoft

Machine-readable & source

JSON

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