Breakdown of the City of Strasbourg into 23 districtsDécoupage de la ville de Strasbourg en 23 quartiers
Découpage de la ville de Strasbourg en 23 quartiersBreakdown of the City of Strasbourg into 23 districts
This API provides the administrative breakdown of the city of Strasbourg into 23 districts, established in August 2024 for use by the Directorate of Solidarity, Health and Youth (Direction Solidarités Santé Jeunesse, DSSJ). The districts are formed by grouping IRIS statistical units, the small-area census geography used by INSEE. The dataset is primarily intended to support statistical analysis at a sub-city level, enabling comparison of socio-demographic or health-related indicators across different parts of Strasbourg. It is published as open data by the city of Strasbourg.Le découpage du territoire de Strasbourg en 23 secteurs est mis en place (en 08/2024) pour une utilisation par la Direction Solidarités Santé Jeunesse (DSSJ). Ces secteurs sont formés par assemblage d’IRIS. Ils sont utilisés pour faire de l’analyse statistique.
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (5 fields)
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| geo_point_2dGeo Point | geo_point_2d | — |
| geo_shapeShape | geo_shape | — |
| numero_inseeNumero insee | text | Numéro INSEE |
| nom_quartierNom quartier | text | Nom du quartier |
| nom_irisNom iris | text | Nom de l'Iris |
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 1nom_iris: Marche gare · geo_shape: [large value omitted]
{
"nom_iris": "Marche gare",
"geo_shape": "[large value omitted]",
"geo_point_2d": {
"lat": 48.59412757675281,
"lon": 7.722915693891114
},
"nom_quartier": "Vieux Cronenbourg",
"numero_insee": "674821901"
}Record 2nom_iris: Musau · geo_shape: [large value omitted]
{
"nom_iris": "Musau",
"geo_shape": "[large value omitted]",
"geo_point_2d": {
"lat": 48.55403134103606,
"lon": 7.782051512431751
},
"nom_quartier": "Ampère",
"numero_insee": "674822201"
}Record 3nom_iris: Jacqueline · geo_shape: [large value omitted]
{
"nom_iris": "Jacqueline",
"geo_shape": "[large value omitted]",
"geo_point_2d": {
"lat": 48.59399985848875,
"lon": 7.700152089170682
},
"nom_quartier": "Hautepierre",
"numero_insee": "674821701"
}Record 4nom_iris: Port autonome-nord · geo_shape: [large value omitted]
{
"nom_iris": "Port autonome-nord",
"geo_shape": "[large value omitted]",
"geo_point_2d": {
"lat": 48.57282618309397,
"lon": 7.793652311580934
},
"nom_quartier": "Port du Rhin",
"numero_insee": "674822203"
}Record 5nom_iris: Hopital civil · geo_shape: [large value omitted]
{
"nom_iris": "Hopital civil",
"geo_shape": "[large value omitted]",
"geo_point_2d": {
"lat": 48.58165061983982,
"lon": 7.747682956313834
},
"nom_quartier": "Centre ville",
"numero_insee": "674820204"
}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_23_quartiers
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.strasbourg.eu/api/explore/v2.1/catalog/datasets/strasbourg_23_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.
Rate limits
Dataset
Volume & freshness
License
No license declared upstream.
Source: opendatasoft
Machine-readable & source
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