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2016 Population Census - Large Districts - PopulationRecensement population 2016 - Grands quartiers - Population

Recensement population 2016 - Grands quartiers - Population2016 Population Census - Large Districts - Population

APIJoinable5/7Query nowOpen workbenchSubscribe🇫🇷France

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.

42
fair

Weighted across five axes. Tap a ring for what it measures.

Data schema (80 fields)

Filterable via the API (78)
grd_quartlibelle_des_grands_quartiersreg2016depuu2010code_inseep16_popp16_pop0002p16_pop0305p16_pop0610p16_pop1117p16_pop1824p16_pop2539p16_pop4054p16_pop5564p16_pop6579p16_pop80pp16_pop0014p16_pop1529p16_pop3044p16_pop4559p16_pop6074p16_pop75pp16_pop0019p16_pop2064p16_pop65pp16_pophp16_h0014p16_h1529p16_h3044p16_h4559p16_h6074p16_h75pp16_h0019p16_h2064p16_h65pp16_popfp16_f0014p16_f1529p16_f3044p16_f4559p16_f6074p16_f75pp16_f0019p16_f2064p16_f65pc16_pop15pc16_pop15p_cs1c16_pop15p_cs2c16_pop15p_cs3c16_pop15p_cs4c16_pop15p_cs5c16_pop15p_cs6c16_pop15p_cs7c16_pop15p_cs8c16_h15pc16_h15p_cs1c16_h15p_cs2c16_h15p_cs3c16_h15p_cs4c16_h15p_cs5c16_h15p_cs6c16_h15p_cs7c16_h15p_cs8c16_f15pc16_f15p_cs1c16_f15p_cs2c16_f15p_cs3c16_f15p_cs4c16_f15p_cs5c16_f15p_cs6c16_f15p_cs7c16_f15p_cs8p16_pop_frp16_pop_etrp16_pop_immp16_pmenp16_phormen

Click a field to see example values.

FillFieldTypeDescription
—geo_pointGeo pointgeo_point_2dGeographic centroid coordinates of the grand quartier.Geographic centroid coordinates of the grand quartier.
—geo_shapeShapegeo_shapeGeographic boundary polygon of the grand quartier.Geographic boundary polygon of the grand quartier.
—grd_quartFilterable via the APIGrd quarttextCode identifying the grand quartier (large neighborhood).Code identifying the grand quartier (large neighborhood).
—libelle_des_grands_quartiersFilterable via the APILibellé des grands quartierstextName of the grand quartier.Name of the grand quartier.
—reg2016Filterable via the APItextCode of the 2016 administrative region.Code of the 2016 administrative region.
—depFilterable via the APItextCode of the department.Code of the department.
—uu2010Filterable via the APItextCode of the urban unit (2010 definition).Code of the urban unit (2010 definition).
—code_inseeFilterable via the APIINSEE commune codetextINSEE code of the municipality.INSEE code of the municipality.
—p16_popFilterable via the APIP16 popdoubleTotal population in 2016.Total population in 2016.
—p16_pop0002Filterable via the APIP16 pop0002doublePopulation aged 0 to 2 years in 2016.Population aged 0 to 2 years in 2016.
100%p16_pop0305Filterable via the APIP16 pop0305doublePopulation aged 3 to 5 years in 2016.Population aged 3 to 5 years in 2016.
100%p16_pop0610Filterable via the APIP16 pop0610doublePopulation aged 6 to 10 years in 2016.Population aged 6 to 10 years in 2016.
100%p16_pop1117Filterable via the APIP16 pop1117doublePopulation aged 11 to 17 years in 2016.Population aged 11 to 17 years in 2016.
100%p16_pop1824Filterable via the APIP16 pop1824doublePopulation aged 18 to 24 years in 2016.Population aged 18 to 24 years in 2016.
100%p16_pop2539Filterable via the APIP16 pop2539doublePopulation aged 25 to 39 years in 2016.Population aged 25 to 39 years in 2016.
100%p16_pop4054Filterable via the APIP16 pop4054doublePopulation aged 40 to 54 years in 2016.Population aged 40 to 54 years in 2016.
100%p16_pop5564Filterable via the APIP16 pop5564doublePopulation aged 55 to 64 years in 2016.Population aged 55 to 64 years in 2016.
100%p16_pop6579Filterable via the APIP16 pop6579doublePopulation aged 65 to 79 years in 2016.Population aged 65 to 79 years in 2016.
100%p16_pop80pFilterable via the APIP16 pop80pdoublePopulation aged 80 years and over in 2016.Population aged 80 years and over in 2016.
100%p16_pop0014Filterable via the APIP16 pop0014doublePopulation aged 0 to 14 years in 2016.Population aged 0 to 14 years in 2016.
100%p16_pop1529Filterable via the APIP16 pop1529doublePopulation aged 15 to 29 years in 2016.Population aged 15 to 29 years in 2016.
100%p16_pop3044Filterable via the APIP16 pop3044doublePopulation aged 30 to 44 years in 2016.Population aged 30 to 44 years in 2016.
100%p16_pop4559Filterable via the APIP16 pop4559doublePopulation aged 45 to 59 years in 2016.Population aged 45 to 59 years in 2016.
100%p16_pop6074Filterable via the APIP16 pop6074doublePopulation aged 60 to 74 years in 2016.Population aged 60 to 74 years in 2016.
100%p16_pop75pFilterable via the APIP16 pop75pdoublePopulation aged 75 years and over in 2016.Population aged 75 years and over in 2016.
100%p16_pop0019Filterable via the APIP16 pop0019doublePopulation aged 0 to 19 years in 2016.Population aged 0 to 19 years in 2016.
100%p16_pop2064Filterable via the APIP16 pop2064doublePopulation aged 20 to 64 years in 2016.Population aged 20 to 64 years in 2016.
100%p16_pop65pFilterable via the APIP16 pop65pdoublePopulation aged 65 years and over in 2016.Population aged 65 years and over in 2016.
100%p16_pophFilterable via the APIP16 pophdoubleTotal male population in 2016.Total male population in 2016.
100%p16_h0014Filterable via the APIP16 h0014doubleMale population aged 0 to 14 years in 2016.Male population aged 0 to 14 years in 2016.
100%p16_h1529Filterable via the APIP16 h1529doubleMale population aged 15 to 29 years in 2016.Male population aged 15 to 29 years in 2016.
100%p16_h3044Filterable via the APIP16 h3044doubleMale population aged 30 to 44 years in 2016.Male population aged 30 to 44 years in 2016.
100%p16_h4559Filterable via the APIP16 h4559doubleMale population aged 45 to 59 years in 2016.Male population aged 45 to 59 years in 2016.
100%p16_h6074Filterable via the APIP16 h6074doubleMale population aged 60 to 74 years in 2016.Male population aged 60 to 74 years in 2016.
100%p16_h75pFilterable via the APIP16 h75pdoubleMale population aged 75 years and over in 2016.Male population aged 75 years and over in 2016.
100%p16_h0019Filterable via the APIP16 h0019doubleMale population aged 0 to 19 years in 2016.Male population aged 0 to 19 years in 2016.
100%p16_h2064Filterable via the APIP16 h2064doubleMale population aged 20 to 64 years in 2016.Male population aged 20 to 64 years in 2016.
100%p16_h65pFilterable via the APIP16 h65pdoubleMale population aged 65 years and over in 2016.Male population aged 65 years and over in 2016.
100%p16_popfFilterable via the APIP16 popfdoubleTotal female population in 2016.Total female population in 2016.
100%p16_f0014Filterable via the APIP16 f0014doubleFemale population aged 0 to 14 years in 2016.Female population aged 0 to 14 years in 2016.
100%p16_f1529Filterable via the APIP16 f1529doubleFemale population aged 15 to 29 years in 2016.Female population aged 15 to 29 years in 2016.
100%p16_f3044Filterable via the APIP16 f3044doubleFemale population aged 30 to 44 years in 2016.Female population aged 30 to 44 years in 2016.
100%p16_f4559Filterable via the APIP16 f4559doubleFemale population aged 45 to 59 years in 2016.Female population aged 45 to 59 years in 2016.
100%p16_f6074Filterable via the APIP16 f6074doubleFemale population aged 60 to 74 years in 2016.Female population aged 60 to 74 years in 2016.
100%p16_f75pFilterable via the APIP16 f75pdoubleFemale population aged 75 years and over in 2016.Female population aged 75 years and over in 2016.
100%p16_f0019Filterable via the APIP16 f0019doubleFemale population aged 0 to 19 years in 2016.Female population aged 0 to 19 years in 2016.
100%p16_f2064Filterable via the APIP16 f2064doubleFemale population aged 20 to 64 years in 2016.Female population aged 20 to 64 years in 2016.
100%p16_f65pFilterable via the APIP16 f65pdoubleFemale population aged 65 years and over in 2016.Female population aged 65 years and over in 2016.
100%c16_pop15pFilterable via the APIC16 pop15pdoublePopulation aged 15 and over, by socio-professional category, in 2016.Population aged 15 and over, by socio-professional category, in 2016.
100%c16_pop15p_cs1Filterable via the APIC16 pop15p cs1doublePopulation aged 15+ who are farmers, in 2016.Population aged 15+ who are farmers, in 2016.
100%c16_pop15p_cs2Filterable via the APIC16 pop15p cs2doublePopulation 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_cs3Filterable via the APIC16 pop15p cs3doublePopulation aged 15+ who are executives and professionals, in 2016.Population aged 15+ who are executives and professionals, in 2016.
100%c16_pop15p_cs4Filterable via the APIC16 pop15p cs4doublePopulation aged 15+ in intermediate occupations, in 2016.Population aged 15+ in intermediate occupations, in 2016.
100%c16_pop15p_cs5Filterable via the APIC16 pop15p cs5doublePopulation aged 15+ employed as clerks/employees, in 2016.Population aged 15+ employed as clerks/employees, in 2016.
100%c16_pop15p_cs6Filterable via the APIC16 pop15p cs6doublePopulation aged 15+ employed as manual workers, in 2016.Population aged 15+ employed as manual workers, in 2016.
100%c16_pop15p_cs7Filterable via the APIC16 pop15p cs7doublePopulation aged 15+ who are retired, in 2016.Population aged 15+ who are retired, in 2016.
100%c16_pop15p_cs8Filterable via the APIC16 pop15p cs8doublePopulation aged 15+ with no occupation, other category, in 2016.Population aged 15+ with no occupation, other category, in 2016.
100%c16_h15pFilterable via the APIC16 h15pdoubleMale 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_cs1Filterable via the APIC16 h15p cs1doubleMale population aged 15+ who are farmers, in 2016.Male population aged 15+ who are farmers, in 2016.
100%c16_h15p_cs2Filterable via the APIC16 h15p cs2doubleMale 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_cs3Filterable via the APIC16 h15p cs3doubleMale population aged 15+ who are executives and professionals, in 2016.Male population aged 15+ who are executives and professionals, in 2016.
—c16_h15p_cs4Filterable via the APIC16 h15p cs4doubleMale population aged 15+ in intermediate occupations, in 2016.Male population aged 15+ in intermediate occupations, in 2016.
—c16_h15p_cs5Filterable via the APIC16 h15p cs5doubleMale population aged 15+ employed as clerks/employees, in 2016.Male population aged 15+ employed as clerks/employees, in 2016.
—c16_h15p_cs6Filterable via the APIC16 h15p cs6doubleMale population aged 15+ employed as manual workers, in 2016.Male population aged 15+ employed as manual workers, in 2016.
—c16_h15p_cs7Filterable via the APIC16 h15p cs7doubleMale population aged 15+ who are retired, in 2016.Male population aged 15+ who are retired, in 2016.
—c16_h15p_cs8Filterable via the APIC16 h15p cs8doubleMale population aged 15+ with no occupation, other category, in 2016.Male population aged 15+ with no occupation, other category, in 2016.
—c16_f15pFilterable via the APIC16 f15pdoubleFemale 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_cs1Filterable via the APIC16 f15p cs1doubleFemale population aged 15+ who are farmers, in 2016.Female population aged 15+ who are farmers, in 2016.
—c16_f15p_cs2Filterable via the APIC16 f15p cs2doubleFemale 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_cs3Filterable via the APIC16 f15p cs3doubleFemale population aged 15+ who are executives and professionals, in 2016.Female population aged 15+ who are executives and professionals, in 2016.
—c16_f15p_cs4Filterable via the APIC16 f15p cs4doubleFemale population aged 15+ in intermediate occupations, in 2016.Female population aged 15+ in intermediate occupations, in 2016.
—c16_f15p_cs5Filterable via the APIC16 f15p cs5doubleFemale population aged 15+ employed as clerks/employees, in 2016.Female population aged 15+ employed as clerks/employees, in 2016.
—c16_f15p_cs6Filterable via the APIC16 f15p cs6doubleFemale population aged 15+ employed as manual workers, in 2016.Female population aged 15+ employed as manual workers, in 2016.
—c16_f15p_cs7Filterable via the APIC16 f15p cs7doubleFemale population aged 15+ who are retired, in 2016.Female population aged 15+ who are retired, in 2016.
—c16_f15p_cs8Filterable via the APIC16 f15p cs8doubleFemale population aged 15+ with no occupation, other category, in 2016.Female population aged 15+ with no occupation, other category, in 2016.
—p16_pop_frFilterable via the APIP16 pop frdoublePopulation holding French nationality in 2016.Population holding French nationality in 2016.
—p16_pop_etrFilterable via the APIP16 pop etrdoubleForeign-national population in 2016.Foreign-national population in 2016.
—p16_pop_immFilterable via the APIP16 pop immdoubleImmigrant population in 2016.Immigrant population in 2016.
—p16_pmenFilterable via the APIP16 pmendoublePopulation living in regular households in 2016.Population living in regular households in 2016.
—p16_phormenFilterable via the APIP16 phormendoublePopulation 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.

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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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  "grd_quart": "3155510",
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  "p16_f0019": 536.164886245,
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  "p16_h0019": 475.33361152,
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  "p16_h3044": 757.150401981,
  "p16_h4559": 510.65641969,
  "p16_h6074": 465.062542723,
  "c16_pop15p": 6841.11591042,
  "code_insee": "31555",
  "p16_pop65p": 1106.49071394,
  "p16_pop75p": 535.447659942,
  "p16_pop80p": 332.855017418,
  "p16_pop_fr": 6376.87687896,
  "p16_phormen": 52.9999683642,
  "p16_pop0002": 146.316113014,
  "p16_pop0014": 508.305061289,
  "p16_pop0019": 1011.49849776,
  "p16_pop0305": 95.4573174452,
  "p16_pop0610": 128.514439248,
  "p16_pop1117": 236.897727119,
  "p16_pop1529": 2944.37421,
  "p16_pop1824": 1858.50024556,
  "p16_pop2064": 5234.0292598,
  "p16_pop2539": 2015.33324137,
  "p16_pop3044": 1349.76541898,
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  "p16_pop_etr": 975.141592535,
  "p16_pop_imm": 1081.55274387,
  "c16_f15p_cs1": 3.87348907347,
  "c16_f15p_cs2": 67.0294306023,
  "c16_f15p_cs3": 602.331697999,
  "c16_f15p_cs4": 513.048354999,
  "c16_f15p_cs5": 502.846545721,
  "c16_f15p_cs6": 47.8562822168,
  "c16_f15p_cs7": 645.805450489,
  "c16_f15p_cs8": 1072.03229153,
  "c16_h15p_cs1": 9.19732605572,
  "c16_h15p_cs2": 156.054191948,
  "c16_h15p_cs3": 786.271062717,
  "c16_h15p_cs4": 395.155949802,
  "c16_h15p_cs5": 413.598965283,
  "c16_h15p_cs6": 347.568945248,
  "c16_h15p_cs7": 450.23227128,
  "c16_h15p_cs8": 828.213655452,
  "c16_pop15p_cs1": 13.0708151292,
  "c16_pop15p_cs2": 223.083622551,
  "c16_pop15p_cs3": 1388.60276072,
  "c16_pop15p_cs4": 908.2043048,
  "c16_pop15p_cs5": 916.445511003,
  "c16_pop15p_cs6": 395.425227465,
  "c16_pop15p_cs7": 1096.03772177,
  "c16_pop15p_cs8": 1900.24594699,
  "libelle_des_grands_quartiers": "MATABIAU"
}
Record 2dep: 31 · uu2010: 31701
{
  "dep": "31",
  "uu2010": "31701",
  "p16_pop": 10538.3827516,
  "reg2016": "76",
  "c16_f15p": 4888.13457076,
  "c16_h15p": 4215.24114966,
  "p16_f65p": 1189.50604923,
  "p16_f75p": 747.334007926,
  "p16_h65p": 624.756736943,
  "p16_h75p": 319.966958873,
  "p16_pmen": 10452.3828029,
  "p16_popf": 5591.62060255,
  "p16_poph": 4946.76214902,
  "geo_point": {
    "lat": 43.5791097556,
    "lon": 1.45915760009
  },
  "geo_shape": "[large value omitted]",
  "grd_quart": "3155524",
  "p16_f0014": 714.486025226,
  "p16_f0019": 1115.13043572,
  "p16_f1529": 1490.29638533,
  "p16_f2064": 3286.9841176,
  "p16_f3044": 996.826875472,
  "p16_f4559": 936.642830572,
  "p16_f6074": 706.034478027,
  "p16_h0014": 721.521005331,
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  "p16_h1529": 1579.29056872,
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  "p16_h6074": 502.898728111,
  "c16_pop15p": 9103.37572042,
  "code_insee": "31555",
  "p16_pop65p": 1814.26278618,
  "p16_pop75p": 1067.3009668,
  "p16_pop80p": 763.781590681,
  "p16_pop_fr": 9550.83051993,
  "p16_phormen": 85.9999486664,
  "p16_pop0002": 315.506342515,
  "p16_pop0014": 1436.00703056,
  "p16_pop0019": 2240.05052075,
  "p16_pop0305": 289.72345394,
  "p16_pop0610": 458.439072703,
  "p16_pop1117": 665.596655787,
  "p16_pop1529": 3069.58695405,
  "p16_pop1824": 1890.43537663,
  "p16_pop2064": 6484.06944465,
  "p16_pop2539": 2319.96468704,
  "p16_pop3044": 2033.99389553,
  "p16_pop4054": 1784.70758376,
  "p16_pop4559": 1722.5606985,
  "p16_pop5564": 999.746793028,
  "p16_pop6074": 1208.93320614,
  "p16_pop6579": 1050.48119549,
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Record 3dep: 31 · uu2010: 31701
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Record 4dep: 31 · uu2010: 31701
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}
Record 5dep: 31 · uu2010: 31701
{
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  "libelle_des_grands_quartiers": "BELLEFONTAINE"
}

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.

Full API documentation ↗

Rate limits

20 000 req/day
per ipmeasured
observed 3 days ago

Dataset

Volume & freshness

Records
60
Last upstream update
6 years ago
2021-05-20

License

No license declared upstream.

○ Documentation○ Data dictionary○ Versioning

Source: opendatasoft

Machine-readable & source

Recensement population 2016 - Grands quartiers - Population — live verification badge

Embed this badge in a README or wiki — it always shows the latest verification state and quality tier.