2016 Population Census - Large Districts - PopulationRecensement population 2016 - Grands quartiers - Population
Recensement population 2016 - Grands quartiers - Population2016 Population Census - Large Districts - Population
API providing access to 2016 French population census data at the scale of large districts (grands quartiers), focused on the population theme. Published via the Toulouse Métropole open data portal, it covers demographic figures for the Toulouse metropolitan area. The associated data model is described in an accompanying attachment. The dataset is freely accessible without authentication and can be used for local demographic analysis and planning within the Toulouse metropolitan territory.Données du recensement de la population 2016 à l'échelle des grands quartiers sur le thème Population. Pour information le modèle de données est décrit dans la pièce jointe.
Trust score
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Data schema (80 fields)
Click a field to see example values.
| Fill | Field | Type | Description |
|---|---|---|---|
| — | geo_pointGeo point | geo_point_2d | Geographic centroid coordinates of the grand quartier.Geographic centroid coordinates of the grand quartier. |
| — | geo_shapeShape | geo_shape | Geographic boundary polygon of the grand quartier.Geographic boundary polygon of the grand quartier. |
| — | grd_quartGrd quart | text | Code identifying the grand quartier (large neighborhood).Code identifying the grand quartier (large neighborhood). |
| — | libelle_des_grands_quartiersLibellé des grands quartiers | text | Name of the grand quartier.Name of the grand quartier. |
| — | reg2016 | text | Code of the 2016 administrative region.Code of the 2016 administrative region. |
| — | 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_popP16 pop | double | Total population in 2016.Total population in 2016. |
| — | p16_pop0002P16 pop0002 | double | Population aged 0 to 2 years in 2016.Population aged 0 to 2 years in 2016. |
| 100% | p16_pop0305P16 pop0305 | double | Population aged 3 to 5 years in 2016.Population aged 3 to 5 years in 2016. |
| 100% | p16_pop0610P16 pop0610 | double | Population aged 6 to 10 years in 2016.Population aged 6 to 10 years in 2016. |
| 100% | p16_pop1117P16 pop1117 | double | Population aged 11 to 17 years in 2016.Population aged 11 to 17 years in 2016. |
| 100% | p16_pop1824P16 pop1824 | double | Population aged 18 to 24 years in 2016.Population aged 18 to 24 years in 2016. |
| 100% | p16_pop2539P16 pop2539 | double | Population aged 25 to 39 years in 2016.Population aged 25 to 39 years in 2016. |
| 100% | p16_pop4054P16 pop4054 | double | Population aged 40 to 54 years in 2016.Population aged 40 to 54 years in 2016. |
| 100% | p16_pop5564P16 pop5564 | double | Population aged 55 to 64 years in 2016.Population aged 55 to 64 years in 2016. |
| 100% | p16_pop6579P16 pop6579 | double | Population aged 65 to 79 years in 2016.Population aged 65 to 79 years in 2016. |
| 100% | p16_pop80pP16 pop80p | double | Population aged 80 years and over in 2016.Population aged 80 years and over in 2016. |
| 100% | p16_pop0014P16 pop0014 | double | Population aged 0 to 14 years in 2016.Population aged 0 to 14 years in 2016. |
| 100% | p16_pop1529P16 pop1529 | double | Population aged 15 to 29 years in 2016.Population aged 15 to 29 years in 2016. |
| 100% | p16_pop3044P16 pop3044 | double | Population aged 30 to 44 years in 2016.Population aged 30 to 44 years in 2016. |
| 100% | p16_pop4559P16 pop4559 | double | Population aged 45 to 59 years in 2016.Population aged 45 to 59 years in 2016. |
| 100% | p16_pop6074P16 pop6074 | double | Population aged 60 to 74 years in 2016.Population aged 60 to 74 years in 2016. |
| 100% | p16_pop75pP16 pop75p | double | Population aged 75 years and over in 2016.Population aged 75 years and over in 2016. |
| 100% | p16_pop0019P16 pop0019 | double | Population aged 0 to 19 years in 2016.Population aged 0 to 19 years in 2016. |
| 100% | p16_pop2064P16 pop2064 | double | Population aged 20 to 64 years in 2016.Population aged 20 to 64 years in 2016. |
| 100% | p16_pop65pP16 pop65p | double | Population aged 65 years and over in 2016.Population aged 65 years and over in 2016. |
| 100% | p16_pophP16 poph | double | Total male population in 2016.Total male population in 2016. |
| 100% | p16_h0014P16 h0014 | double | Male population aged 0 to 14 years in 2016.Male population aged 0 to 14 years in 2016. |
| 100% | p16_h1529P16 h1529 | double | Male population aged 15 to 29 years in 2016.Male population aged 15 to 29 years in 2016. |
| 100% | p16_h3044P16 h3044 | double | Male population aged 30 to 44 years in 2016.Male population aged 30 to 44 years in 2016. |
| 100% | p16_h4559P16 h4559 | double | Male population aged 45 to 59 years in 2016.Male population aged 45 to 59 years in 2016. |
| 100% | p16_h6074P16 h6074 | double | Male population aged 60 to 74 years in 2016.Male population aged 60 to 74 years in 2016. |
| 100% | p16_h75pP16 h75p | double | Male population aged 75 years and over in 2016.Male population aged 75 years and over in 2016. |
| 100% | p16_h0019P16 h0019 | double | Male population aged 0 to 19 years in 2016.Male population aged 0 to 19 years in 2016. |
| 100% | p16_h2064P16 h2064 | double | Male population aged 20 to 64 years in 2016.Male population aged 20 to 64 years in 2016. |
| 100% | p16_h65pP16 h65p | double | Male population aged 65 years and over in 2016.Male population aged 65 years and over in 2016. |
| 100% | p16_popfP16 popf | double | Total female population in 2016.Total female population in 2016. |
| 100% | p16_f0014P16 f0014 | double | Female population aged 0 to 14 years in 2016.Female population aged 0 to 14 years in 2016. |
| 100% | p16_f1529P16 f1529 | double | Female population aged 15 to 29 years in 2016.Female population aged 15 to 29 years in 2016. |
| 100% | p16_f3044P16 f3044 | double | Female population aged 30 to 44 years in 2016.Female population aged 30 to 44 years in 2016. |
| 100% | p16_f4559P16 f4559 | double | Female population aged 45 to 59 years in 2016.Female population aged 45 to 59 years in 2016. |
| 100% | p16_f6074P16 f6074 | double | Female population aged 60 to 74 years in 2016.Female population aged 60 to 74 years in 2016. |
| 100% | p16_f75pP16 f75p | double | Female population aged 75 years and over in 2016.Female population aged 75 years and over in 2016. |
| 100% | p16_f0019P16 f0019 | double | Female population aged 0 to 19 years in 2016.Female population aged 0 to 19 years in 2016. |
| 100% | p16_f2064P16 f2064 | double | Female population aged 20 to 64 years in 2016.Female population aged 20 to 64 years in 2016. |
| 100% | p16_f65pP16 f65p | double | Female population aged 65 years and over in 2016.Female population aged 65 years and over in 2016. |
| 100% | c16_pop15pC16 pop15p | double | Population aged 15 and over, by socio-professional category, in 2016.Population aged 15 and over, by socio-professional category, in 2016. |
| 100% | c16_pop15p_cs1C16 pop15p cs1 | double | Population aged 15+ who are farmers, in 2016.Population aged 15+ who are farmers, in 2016. |
| 100% | c16_pop15p_cs2C16 pop15p cs2 | double | Population aged 15+ who are craftspeople, traders or business owners, in 2016.Population aged 15+ who are craftspeople, traders or business owners, in 2016. |
| 100% | c16_pop15p_cs3C16 pop15p cs3 | double | Population aged 15+ who are executives and professionals, in 2016.Population aged 15+ who are executives and professionals, in 2016. |
| 100% | c16_pop15p_cs4C16 pop15p cs4 | double | Population aged 15+ in intermediate occupations, in 2016.Population aged 15+ in intermediate occupations, in 2016. |
| 100% | c16_pop15p_cs5C16 pop15p cs5 | double | Population aged 15+ employed as clerks/employees, in 2016.Population aged 15+ employed as clerks/employees, in 2016. |
| 100% | c16_pop15p_cs6C16 pop15p cs6 | double | Population aged 15+ employed as manual workers, in 2016.Population aged 15+ employed as manual workers, in 2016. |
| 100% | c16_pop15p_cs7C16 pop15p cs7 | double | Population aged 15+ who are retired, in 2016.Population aged 15+ who are retired, in 2016. |
| 100% | c16_pop15p_cs8C16 pop15p cs8 | double | Population aged 15+ with no occupation, other category, in 2016.Population aged 15+ with no occupation, other category, in 2016. |
| 100% | c16_h15pC16 h15p | double | Male population aged 15 and over, by socio-professional category, in 2016.Male population aged 15 and over, by socio-professional category, in 2016. |
| 100% | c16_h15p_cs1C16 h15p cs1 | double | Male population aged 15+ who are farmers, in 2016.Male population aged 15+ who are farmers, in 2016. |
| 100% | c16_h15p_cs2C16 h15p cs2 | double | Male population aged 15+ who are craftspeople, traders or business owners, in 2016.Male population aged 15+ who are craftspeople, traders or business owners, in 2016. |
| — | c16_h15p_cs3C16 h15p cs3 | double | Male population aged 15+ who are executives and professionals, in 2016.Male population aged 15+ who are executives and professionals, in 2016. |
| — | c16_h15p_cs4C16 h15p cs4 | double | Male population aged 15+ in intermediate occupations, in 2016.Male population aged 15+ in intermediate occupations, in 2016. |
| — | c16_h15p_cs5C16 h15p cs5 | double | Male population aged 15+ employed as clerks/employees, in 2016.Male population aged 15+ employed as clerks/employees, in 2016. |
| — | c16_h15p_cs6C16 h15p cs6 | double | Male population aged 15+ employed as manual workers, in 2016.Male population aged 15+ employed as manual workers, in 2016. |
| — | c16_h15p_cs7C16 h15p cs7 | double | Male population aged 15+ who are retired, in 2016.Male population aged 15+ who are retired, in 2016. |
| — | c16_h15p_cs8C16 h15p cs8 | double | Male population aged 15+ with no occupation, other category, in 2016.Male population aged 15+ with no occupation, other category, in 2016. |
| — | c16_f15pC16 f15p | double | Female population aged 15 and over, by socio-professional category, in 2016.Female population aged 15 and over, by socio-professional category, in 2016. |
| — | c16_f15p_cs1C16 f15p cs1 | double | Female population aged 15+ who are farmers, in 2016.Female population aged 15+ who are farmers, in 2016. |
| — | c16_f15p_cs2C16 f15p cs2 | double | Female population aged 15+ who are craftspeople, traders or business owners, in 2016.Female population aged 15+ who are craftspeople, traders or business owners, in 2016. |
| — | c16_f15p_cs3C16 f15p cs3 | double | Female population aged 15+ who are executives and professionals, in 2016.Female population aged 15+ who are executives and professionals, in 2016. |
| — | c16_f15p_cs4C16 f15p cs4 | double | Female population aged 15+ in intermediate occupations, in 2016.Female population aged 15+ in intermediate occupations, in 2016. |
| — | c16_f15p_cs5C16 f15p cs5 | double | Female population aged 15+ employed as clerks/employees, in 2016.Female population aged 15+ employed as clerks/employees, in 2016. |
| — | c16_f15p_cs6C16 f15p cs6 | double | Female population aged 15+ employed as manual workers, in 2016.Female population aged 15+ employed as manual workers, in 2016. |
| — | c16_f15p_cs7C16 f15p cs7 | double | Female population aged 15+ who are retired, in 2016.Female population aged 15+ who are retired, in 2016. |
| — | c16_f15p_cs8C16 f15p cs8 | double | Female population aged 15+ with no occupation, other category, in 2016.Female population aged 15+ with no occupation, other category, in 2016. |
| — | p16_pop_frP16 pop fr | double | Population holding French nationality in 2016.Population holding French nationality in 2016. |
| — | p16_pop_etrP16 pop etr | double | Foreign-national population in 2016.Foreign-national population in 2016. |
| — | p16_pop_immP16 pop imm | double | Immigrant population in 2016.Immigrant population in 2016. |
| — | p16_pmenP16 pmen | double | Population living in regular households in 2016.Population living in regular households in 2016. |
| — | p16_phormenP16 phormen | double | Population living outside regular households (e.g. institutions) in 2016.Population living outside regular households (e.g. institutions) in 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",
"p16_pop": 7352.0184715,
"reg2016": "76",
"c16_f15p": 3454.82354263,
"c16_h15p": 3386.29236778,
"p16_f65p": 646.187203579,
"p16_f75p": 333.018695212,
"p16_h65p": 460.303510356,
"p16_h75p": 202.42896473,
"p16_pmen": 7299.01850313,
"p16_popf": 3704.55377192,
"p16_poph": 3647.46469958,
"geo_point": {
"lat": 43.6098970462,
"lon": 1.44949474288
},
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
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},
"properties": {}
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"libelle_des_grands_quartiers": "MATABIAU"
}Record 2dep: 31 · uu2010: 31701
{
"dep": "31",
"uu2010": "31701",
"p16_pop": 10538.3827516,
"reg2016": "76",
"c16_f15p": 4888.13457076,
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"p16_pmen": 10452.3828029,
"p16_popf": 5591.62060255,
"p16_poph": 4946.76214902,
"geo_point": {
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"lon": 1.45915760009
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"geo_shape": "[large value omitted]",
"grd_quart": "3155524",
"p16_f0014": 714.486025226,
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"c16_h15p_cs6": 567.807523885,
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"c16_pop15p_cs6": 698.083961342,
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"libelle_des_grands_quartiers": "SAUZELONG - RANGUEIL"
}Record 3dep: 31 · uu2010: 31701
{
"dep": "31",
"uu2010": "31701",
"p16_pop": 11047.5686744,
"reg2016": "76",
"c16_f15p": 4739.39209362,
"c16_h15p": 4558.68620408,
"p16_f65p": 1027.14015332,
"p16_f75p": 639.186546425,
"p16_h65p": 746.543082951,
"p16_h75p": 367.046897887,
"p16_pmen": 10508.5689961,
"p16_popf": 5538.5178034,
"p16_poph": 5509.05087099,
"geo_point": {
"lat": 43.63357476,
"lon": 1.43010700183
},
"geo_shape": "[large value omitted]",
"grd_quart": "3155537",
"p16_f0014": 817.125699029,
"p16_f0019": 1082.29834941,
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}Record 4dep: 31 · uu2010: 31701
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}Record 5dep: 31 · uu2010: 31701
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}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-population
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.toulouse-metropole.fr/api/explore/v2.1/catalog/datasets/recensement-population-2016-grands-quartiers-population/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.