2016 Population Census - Major Districts - Educational QualificationsRecensement population 2016 - Grands quartiers - Diplômes
Recensement population 2016 - Grands quartiers - Diplômes2016 Population Census - Major Districts - Educational Qualifications
This API provides data from the 2016 French population census at the level of major districts (grands quartiers), focused on educational qualifications (diplômes) held by residents. It is published via the Toulouse Métropole open data portal and covers the metropolitan area at a sub-communal geographic scale. The accompanying data model documentation, referenced as an attachment, describes the structure and fields of the dataset. The data can be used for demographic and socio-economic analysis of educational attainment across neighborhoods within Toulouse Métropole.Données du recensement de la population 2016 à l'échelle des grands quartiers sur le thème Diplômes. Pour information le modèle de données est décrit dans la pièce jointe.
Trust score
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Data schema (37 fields)
Click a field to see example values.
| Fill | Field | Type | Description |
|---|---|---|---|
| — | geo_pointGeo point | geo_point_2d | Geographic coordinates (latitude/longitude) of the district's centroid.Geographic coordinates (latitude/longitude) of the district's centroid. |
| — | geo_shapeShape | geo_shape | Geographic boundary shape of the district (grand quartier).Geographic boundary shape of the district (grand quartier). |
| — | grd_quartGrd quart | text | Code identifying the large district (grand quartier).Code identifying the large district (grand quartier). |
| — | libelle_des_grands_quartiersLibelle des grands quartiers | text | Name of the large district (grand quartier).Name of the large district (grand quartier). |
| — | reg2016 | text | Code of the region (2016 boundaries).Code of the region (2016 boundaries). |
| — | dep | text | Code of the department.Code of the department. |
| — | uu2010 | text | Code of the urban unit (2010 definition).Code of the urban unit (2010 definition). |
| — | code_inseeINSEE commune code | text | INSEE code of the municipality.INSEE code of the municipality. |
| — | p16_pop0205P16 pop0205 | double | Estimated 2016 population aged 2 to 5 years.Estimated 2016 population aged 2 to 5 years. |
| — | p16_pop0610P16 pop0610 | double | Estimated 2016 population aged 6 to 10 years.Estimated 2016 population aged 6 to 10 years. |
| 100% | p16_pop1114P16 pop1114 | double | Estimated 2016 population aged 11 to 14 years.Estimated 2016 population aged 11 to 14 years. |
| 100% | p16_pop1517P16 pop1517 | double | Estimated 2016 population aged 15 to 17 years.Estimated 2016 population aged 15 to 17 years. |
| 100% | p16_pop1824P16 pop1824 | double | Estimated 2016 population aged 18 to 24 years.Estimated 2016 population aged 18 to 24 years. |
| 100% | p16_pop2529P16 pop2529 | double | Estimated 2016 population aged 25 to 29 years.Estimated 2016 population aged 25 to 29 years. |
| 100% | p16_pop30pP16 pop30p | double | Estimated 2016 population aged 30 years and over.Estimated 2016 population aged 30 years and over. |
| 100% | p16_scol0205P16 scol0205 | double | Estimated 2016 population aged 2 to 5 enrolled in school.Estimated 2016 population aged 2 to 5 enrolled in school. |
| 100% | p16_scol0610P16 scol0610 | double | Estimated 2016 population aged 6 to 10 enrolled in school.Estimated 2016 population aged 6 to 10 enrolled in school. |
| 100% | p16_scol1114P16 scol1114 | double | Estimated 2016 population aged 11 to 14 enrolled in school.Estimated 2016 population aged 11 to 14 enrolled in school. |
| 100% | p16_scol1517P16 scol1517 | double | Estimated 2016 population aged 15 to 17 enrolled in school.Estimated 2016 population aged 15 to 17 enrolled in school. |
| 100% | p16_scol1824P16 scol1824 | double | Estimated 2016 population aged 18 to 24 enrolled in school.Estimated 2016 population aged 18 to 24 enrolled in school. |
| 100% | p16_scol2529P16 scol2529 | double | Estimated 2016 population aged 25 to 29 enrolled in school.Estimated 2016 population aged 25 to 29 enrolled in school. |
| 100% | p16_scol30pP16 scol30p | double | Estimated 2016 population aged 30 and over enrolled in school.Estimated 2016 population aged 30 and over enrolled in school. |
| 100% | p16_nscol15pP16 nscol15p | double | Estimated 2016 population aged 15+ not enrolled in school.Estimated 2016 population aged 15+ not enrolled in school. |
| 100% | p16_nscol15p_diplminP16 nscol15p diplmin | double | Population aged 15+ not in school with no diploma or minimal qualification, 2016.Population aged 15+ not in school with no diploma or minimal qualification, 2016. |
| 100% | p16_nscol15p_capbepP16 nscol15p capbep | double | Population aged 15+ not in school holding a CAP or BEP diploma, 2016.Population aged 15+ not in school holding a CAP or BEP diploma, 2016. |
| 100% | p16_nscol15p_bacP16 nscol15p bac | double | Population aged 15+ not in school holding a baccalaureate diploma, 2016.Population aged 15+ not in school holding a baccalaureate diploma, 2016. |
| 100% | p16_nscol15p_supP16 nscol15p sup | double | Population aged 15+ not in school holding a higher education diploma, 2016.Population aged 15+ not in school holding a higher education diploma, 2016. |
| 100% | p16_hnscol15pP16 hnscol15p | double | Estimated 2016 male population aged 15+ not enrolled in school.Estimated 2016 male population aged 15+ not enrolled in school. |
| 100% | p16_hnscol15p_diplminP16 hnscol15p diplmin | double | Male population aged 15+ not in school with no diploma or minimal qualification, 2016.Male population aged 15+ not in school with no diploma or minimal qualification, 2016. |
| 100% | p16_hnscol15p_capbepP16 hnscol15p capbep | double | Male population aged 15+ not in school holding a CAP or BEP diploma, 2016.Male population aged 15+ not in school holding a CAP or BEP diploma, 2016. |
| 100% | p16_hnscol15p_bacP16 hnscol15p bac | double | Male population aged 15+ not in school holding a baccalaureate diploma, 2016.Male population aged 15+ not in school holding a baccalaureate diploma, 2016. |
| 100% | p16_hnscol15p_supP16 hnscol15p sup | double | Male population aged 15+ not in school holding a higher education diploma, 2016.Male population aged 15+ not in school holding a higher education diploma, 2016. |
| 100% | p16_fnscol15pP16 fnscol15p | double | Estimated 2016 female population aged 15+ not enrolled in school.Estimated 2016 female population aged 15+ not enrolled in school. |
| 100% | p16_fnscol15p_diplminP16 fnscol15p diplmin | double | Female population aged 15+ not in school with no diploma or minimal qualification, 2016.Female population aged 15+ not in school with no diploma or minimal qualification, 2016. |
| 100% | p16_fnscol15p_capbepP16 fnscol15p capbep | double | Female population aged 15+ not in school holding a CAP or BEP diploma, 2016.Female population aged 15+ not in school holding a CAP or BEP diploma, 2016. |
| 100% | p16_fnscol15p_bacP16 fnscol15p bac | double | Female population aged 15+ not in school holding a baccalaureate diploma, 2016.Female population aged 15+ not in school holding a baccalaureate diploma, 2016. |
| 100% | p16_fnscol15p_supP16 fnscol15p sup | double | Female population aged 15+ not in school holding a higher education diploma, 2016.Female population aged 15+ not in school holding a higher education diploma, 2016. |
Schema captured from opendatasoft 3 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 1dep: 31 · uu2010: 31701
{
"dep": "31",
"uu2010": "31701",
"reg2016": "76",
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"p16_hnscol15p_capbep": 1368.35250672,
"p16_nscol15p_diplmin": 3416.70782749,
"p16_fnscol15p_diplmin": 1945.69699229,
"p16_hnscol15p_diplmin": 1471.0108352,
"libelle_des_grands_quartiers": "MINIMES"
}Record 2dep: 31 · uu2010: 31701
{
"dep": "31",
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"reg2016": "76",
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"lon": 1.43979368004
},
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
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"libelle_des_grands_quartiers": "ARNAUD BERNARD"
}Record 3dep: 31 · uu2010: 31701
{
"dep": "31",
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"geo_point": {
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"libelle_des_grands_quartiers": "CASSELARDIT"
}Record 4dep: 31 · uu2010: 31701
{
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"libelle_des_grands_quartiers": "CHATEAU-DE-L'HERS"
}Record 5dep: 31 · uu2010: 31701
{
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"p16_nscol15p_capbep": 517.65058806,
"p16_fnscol15p_capbep": 221.112750303,
"p16_hnscol15p_capbep": 296.537837757,
"p16_nscol15p_diplmin": 654.747319718,
"p16_fnscol15p_diplmin": 377.231626375,
"p16_hnscol15p_diplmin": 277.515693343,
"libelle_des_grands_quartiers": "SAINT-AGNE"
}Live sample captured at profiling time — values may have changed upstream.
Verification Status
Using the API
Configuration
- Base URL
- https://data.toulouse-metropole.fr/api/explore/v2.1/catalog/datasets/recensement-population-2016-grands-quartiers-diplomes
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.toulouse-metropole.fr/api/explore/v2.1/catalog/datasets/recensement-population-2016-grands-quartiers-diplomes/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.