School catchment areas for nursery schoolsSecteurs scolaires des écoles maternelles
Secteurs scolaires des écoles maternellesSchool catchment areas for nursery schools
This API provides the territorial division used to allocate children to public nursery schools in Strasbourg, France, based on the admission capacity of each establishment. The catchment zoning (sectorisation) determines which school a child should attend according to their home address, and may be revised from year to year to reflect changes in school capacity or demographics. Published as open data by the City of Strasbourg, it is useful for mapping school zones, informing families about their assigned nursery school, and supporting local education planning.La sectorisation scolaires est un découpage territorial permettant de répartir de manière homogène les élèves inscrits dans les écoles maternelles, selon les capacités d'accueil de ces établissements scolaires publics. Cette sectorisation peut donc être amenée à changer d'année en année (en fonct...
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (9 fields)
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| geo_point_2dGeo Point | geo_point_2d | Geographic centroid coordinates of the school sector.Geographic centroid coordinates of the school sector. |
| geo_shapeShape | geo_shape | Geographic boundary polygon of the school sector.Geographic boundary polygon of the school sector. |
| id_secteurID du secteur | text | Unique identifier of the school sector.Unique identifier of the school sector. |
| nom_secteurNom du secteur | text | Name of the school sector, often referencing a school.Name of the school sector, often referencing a school. |
| num_secteurNuméro du secteur | text | Number assigned to the school sector.Number assigned to the school sector. |
| auteur | text | Code identifying the author or issuing authority of the record.Code identifying the author or issuing authority of the record. |
| date_majDate maj | text | Date and time the record was last updated.Date and time the record was last updated. |
| date_creationDate creation | text | Date and time the record was created.Date and time the record was created. |
| pr_odacitePr odacite | text | Indicator flag related to the sector's data status.Indicator flag related to the sector's data status. |
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.
Sample data (5 records)
Record 1auteur: 331805 · date_maj: 20260211120042.735299
{
"auteur": "331805",
"date_maj": "20260211120042.735299",
"geo_shape": "[large value omitted]",
"id_secteur": "52",
"pr_odacite": "oui",
"nom_secteur": "GLIESBERG",
"num_secteur": "32",
"geo_point_2d": {
"lat": 48.57125138131044,
"lon": 7.711602743100341
},
"date_creation": null
}Record 2auteur: 93062 · date_maj: 20240228141926.050575
{
"auteur": "93062",
"date_maj": "20240228141926.050575",
"geo_shape": "[large value omitted]",
"id_secteur": "22",
"pr_odacite": "oui",
"nom_secteur": "PASTEUR",
"num_secteur": "12",
"geo_point_2d": {
"lat": 48.58326537486377,
"lon": 7.753451784388692
},
"date_creation": null
}Record 3auteur: 349670 · date_maj: 20260306161930.27527
{
"auteur": "349670",
"date_maj": "20260306161930.27527",
"geo_shape": "[large value omitted]",
"id_secteur": "1",
"pr_odacite": "oui",
"nom_secteur": "REUSS",
"num_secteur": "46",
"geo_point_2d": {
"lat": 48.545130400025236,
"lon": 7.774177693246339
},
"date_creation": null
}Record 4auteur: 93062 · date_maj: 20250221161300.371341
{
"auteur": "93062",
"date_maj": "20250221161300.371341",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
7.75644788628653,
48.54801610612522
],
[
7.757020107922513,
48.54841356523564
],
[
7.755228809253548,
48.54951392263727
],
[
7.754892293872326,
48.54927345381478
],
[
7.754204218430836,
48.549134387343514
],
[
7.7540570351367695,
48.5492188470841
],
[
7.754849173874322,
48.54978539793935
],
[
7.755200921743975,
48.550038939965795
],
[
7.75578847750522,
48.550462466368494
],
[
7.756295220123283,
48.55082773750814
],
[
7.756472621307456,
48.551205901259266
],
[
7.756357648539775,
48.551229880256955
],
[
7.755763765194256,
48.550819887804835
],
[
7.755339501863059,
48.5509070593251
],
[
7.754528489247617,
48.550452704258355
],
[
7.754322208649533,
48.550573130439034
],
[
7.754265493707153,
48.55061661398189
],
[
7.7541878150353005,
48.550636647313844
],
[
7.752903142410878,
48.55102177792932
],
[
7.752599571472242,
48.551103767783395
],
[
7.752507530402002,
48.551120270817094
],
[
7.752439560204703,
48.551090006657105
],
[
7.751844321745611,
48.55067080911148
],
[
7.751545656412201,
48.55034396098291
],
[
7.7504905863021705,
48.549583315350205
],
[
7.750534897152066,
48.549369299802365
],
[
7.751048540348373,
48.54905967644505
],
[
7.75090576675689,
48.54895444298304
],
[
7.751611387721448,
48.54853936709828
],
[
7.751116241632988,
48.5481409855633
],
[
7.7515853216339,
48.54764815552692
],
[
7.752732779820902,
48.54847463349298
],
[
7.75430319302359,
48.54750836247312
],
[
7.754720278352882,
48.54725987428797
],
[
7.755539086164243,
48.5478846775714
],
[
7.755931153333699,
48.54765510560052
],
[
7.756786657723259,
48.54768101677584
],
[
7.757328288380613,
48.54736756694176
],
[
7.757983462963366,
48.547566565600256
],
[
7.757960799884545,
48.54794002149039
],
[
7.7564593871348775,
48.54790167100387
],
[
7.75644788628653,
48.54801610612522
]
]
]
]
},
"properties": {}
},
"id_secteur": "39",
"pr_odacite": "oui",
"nom_secteur": "CANARDIERE",
"num_secteur": "40",
"geo_point_2d": {
"lat": 48.54917274884322,
"lon": 7.753788379321988
},
"date_creation": "20250205081753.652058"
}Record 5auteur: 93062 · date_maj: 20250205081225.970956
{
"auteur": "93062",
"date_maj": "20250205081225.970956",
"geo_shape": "[large value omitted]",
"id_secteur": "12",
"pr_odacite": "oui",
"nom_secteur": "ZIEGELWASSER",
"num_secteur": "48",
"geo_point_2d": {
"lat": 48.54992127945918,
"lon": 7.763342350233746
},
"date_creation": "20250205081145.195173"
}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/secteurs_scolaires_ecoles_maternelles
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.strasbourg.eu/api/explore/v2.1/catalog/datasets/secteurs_scolaires_ecoles_maternelles/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.