Population scolarisée par âge en 2019 en région des Pays de la Loire
Population scolarisée par âge en 2019 par commune en Région Pays de la Loire. Géographie communale au 1er janvier 2022. Tranches d'âges : 2-5 ans 6-10 ans 11-14 ans 15-17 ans 18-24 ans 25-30 ans 30 ans et plus Définitions et fiches conseil thématiques : https://www.insee.fr/fr/information/2383177...
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (11 fields)
Click a field to see example values.
| Fill | Field | Type | Description |
|---|---|---|---|
| — | code_geographiqueCode géographique | text | — |
| — | age | text | — |
| — | population_scolariseePopulation scolarisée | int | — |
| — | sexe | text | — |
| — | geom | geo_shape | — |
| — | position_geographiquePosition geographique | geo_point_2d | — |
| — | epci_nameEPCI-Métropole | text | — |
| — | epci_codeCode Officiel EPCI | text | — |
| — | dep_nameDépartement | text | — |
| — | departementCode département | text | — |
| 99.8% | libelle_geographiqueLibellé géographique | text | — |
Schema captured from opendatasoft 1 hour 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 1age: 18-24 ans · geom: [large value omitted]
{
"age": "18-24 ans",
"geom": "[large value omitted]",
"sexe": "Hommes",
"dep_name": "Loire-Atlantique",
"epci_code": "244400537",
"epci_name": "Communauté de communes de Nozay",
"departement": "44",
"code_geographique": "44001",
"libelle_geographique": "Abbaretz",
"population_scolarisee": 11,
"position_geographique": {
"lat": 47.556025135,
"lon": -1.49321773
}
}Record 2age: 02-05 ans · geom: [large value omitted]
{
"age": "02-05 ans",
"geom": "[large value omitted]",
"sexe": "Hommes",
"dep_name": "Loire-Atlantique",
"epci_code": "200067635",
"epci_name": "Communauté d'agglomération Clisson Sèvre et Maine Agglo",
"departement": "44",
"code_geographique": "44002",
"libelle_geographique": "Aigrefeuille-sur-Maine",
"population_scolarisee": 89,
"position_geographique": {
"lat": 47.071508947,
"lon": -1.415430336
}
}Record 3age: 25-30 ans · geom: [large value omitted]
{
"age": "25-30 ans",
"geom": "[large value omitted]",
"sexe": "Hommes",
"dep_name": "Loire-Atlantique",
"epci_code": "200067635",
"epci_name": "Communauté d'agglomération Clisson Sèvre et Maine Agglo",
"departement": "44",
"code_geographique": "44002",
"libelle_geographique": "Aigrefeuille-sur-Maine",
"population_scolarisee": 0,
"position_geographique": {
"lat": 47.071508947,
"lon": -1.415430336
}
}Record 4age: 02-05 ans · geom: [large value omitted]
{
"age": "02-05 ans",
"geom": "[large value omitted]",
"sexe": "Femmes",
"dep_name": "Loire-Atlantique",
"epci_code": "200067635",
"epci_name": "Communauté d'agglomération Clisson Sèvre et Maine Agglo",
"departement": "44",
"code_geographique": "44002",
"libelle_geographique": "Aigrefeuille-sur-Maine",
"population_scolarisee": 103,
"position_geographique": {
"lat": 47.071508947,
"lon": -1.415430336
}
}Record 5age: 18-24 ans · geom: [large value omitted]
{
"age": "18-24 ans",
"geom": "[large value omitted]",
"sexe": "Femmes",
"dep_name": "Loire-Atlantique",
"epci_code": "200067635",
"epci_name": "Communauté d'agglomération Clisson Sèvre et Maine Agglo",
"departement": "44",
"code_geographique": "44002",
"libelle_geographique": "Aigrefeuille-sur-Maine",
"population_scolarisee": 61,
"position_geographique": {
"lat": 47.071508947,
"lon": -1.415430336
}
}Live sample captured at profiling time — values may have changed upstream.
Using the API
Configuration
- Base URL
- https://data.paysdelaloire.fr/api/explore/v2.1/catalog/datasets/234400034_population_scolarisee
Query examples
curl -s 'https://data.paysdelaloire.fr/api/explore/v2.1/catalog/datasets/234400034_population_scolarisee/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.