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D

Données carroyées à 200m - France

APIQuery nowOpen workbenchSubscribe🇫🇷France

Les données fournies ici proviennent d'une exploitation spécifique des fichiers fiscaux visant à attribuer à chaque ménage une position géographique précise. Les estimations se présentent sous forme d'un jeu de donnée carroyée à 200 m. Les fichiers, publiés par l'INSEE en 2019, se basent sur les...

0
poor

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

Data schema (48 fields)

Filterable via the API (46)
idcar_200mi_est_200idcar_1kmi_est_1kmidcar_natgroupepop_carrmen_1indmen_5indmen_propmen_fmpind_snvmen_surfmen_collmen_maislog_av45log_45_70log_70_90log_ap_90log_inclog_socind_0_3ind_4_5ind_6_10ind_11_17ind_18_24ind_25_39ind_40_54ind_55_64ind_65_79ind_80pind_incmen_pauvmenlcog_geoyearcom_arm_codecom_codecom_arm_namecom_nameepci_nameepci_codedep_namedep_codereg_namereg_code

Click a field to see example values.

FieldTypeDescription
geo_point_2dPoint géographiquegeo_point_2d
geo_shapeForme géographiquegeo_shape
idcar_200mFilterable via the APIIdcar 200mtext
i_est_200Filterable via the APII est 200int
idcar_1kmFilterable via the APIIdcar 1kmtext
i_est_1kmFilterable via the APII est 1kmint1 si le carreau de 1km de rattachement est imputé par une valeur approchée, 0 sinon
idcar_natFilterable via the APIIdcar nattext
groupeFilterable via the APINuméro de groupeint
pop_carrFilterable via the APIPopulation du carreaudouble
men_1indFilterable via the APINombre de ménages d’un seul individudouble
men_5indFilterable via the APINombre de ménages de 5 individus ou plusdouble
men_propFilterable via the APINombre de ménages propriétairesdouble
men_fmpFilterable via the APINombre de ménages monoparentauxdouble
ind_snvFilterable via the APISomme des niveaux de vie winsorisés des individusdouble
men_surfFilterable via the APISomme de la surface des logements du carreaudouble
men_collFilterable via the APINombre de ménages en logements collectifsdouble
men_maisFilterable via the APINombre de ménages en maisondouble
log_av45Filterable via the APINombre de logements construits avant 1945double
log_45_70Filterable via the APINombre de logements construits entre 1945 et 1970double
log_70_90Filterable via the APINombre de logements construits entre 1970 et 1990double
log_ap_90Filterable via the APINombre de logements construits depuis 1990double
log_incFilterable via the APINombre de logements dont la date de construction est inconnuedouble
log_socFilterable via the APINombre de logements sociauxdouble
ind_0_3Filterable via the APINombre d’individus de 0 à 3 ansdouble
ind_4_5Filterable via the APINombre d’individus de 4 à 5 ansdouble
ind_6_10Filterable via the APINombre d’individus de 6 à 10 ansdouble
ind_11_17Filterable via the APINombre d’individus de 11 à 17 ansdouble
ind_18_24Filterable via the APINombre d’individus de 18 à 24 ansdouble
ind_25_39Filterable via the APINombre d’individus de 25 à 39 ansdouble
ind_40_54Filterable via the APINombre d’individus de 40 à 54 ansdouble
ind_55_64Filterable via the APINombre d’individus de 55 à 64 ansdouble
ind_65_79Filterable via the APINombre d’individus de 65 à 79 ansdouble
ind_80pFilterable via the APINombre d’individus de 80 ans ou plusdouble
ind_incFilterable via the APINombre d’individus d’âge inconnudouble
men_pauvFilterable via the APINombre de ménages pauvresdouble
menFilterable via the APINombre de ménagesdouble
lcog_geoFilterable via the APILcog geotext
yearFilterable via the APIAnnéetext
com_arm_codeFilterable via the APICom arm codetext
com_codeFilterable via the APICode Officiel Communetext
com_arm_nameFilterable via the APINom Officiel Commune / Arrondissement Municipaltext
com_nameFilterable via the APINom Officiel Communetext
epci_nameFilterable via the APINom Officiel EPCItext
epci_codeFilterable via the APICode Officiel EPCItext
dep_nameFilterable via the APINom Officiel Départementtext
dep_codeFilterable via the APICode Officiel Départementtext
reg_nameFilterable via the APINom Officiel Régiontext
reg_codeFilterable via the APICode Officiel Régiontext

Schema captured from opendatasoft 2 hours 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 1men: 23 · year: 2017
{
  "men": 23,
  "year": "2017",
  "groupe": 411899,
  "ind_0_3": 1,
  "ind_4_5": 2,
  "ind_80p": 4,
  "ind_inc": 0,
  "ind_snv": 1270253.6,
  "log_inc": 0,
  "log_soc": 0,
  "men_fmp": 2,
  "com_code": [
    "66230"
  ],
  "com_name": [
    "Vinça"
  ],
  "dep_code": [
    "66"
  ],
  "dep_name": [
    "Pyrénées-Orientales"
  ],
  "ind_6_10": 2,
  "lcog_geo": "66230",
  "log_av45": 0,
  "men_1ind": 4,
  "men_5ind": 0,
  "men_coll": 0,
  "men_mais": 23,
  "men_pauv": 0,
  "men_prop": 21,
  "men_surf": 2667,
  "pop_carr": 49,
  "reg_code": [
    "76"
  ],
  "reg_name": [
    "Occitanie"
  ],
  "epci_code": [
    "200049211"
  ],
  "epci_name": [
    "CC Conflent-Canigó"
  ],
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            2.525904436297875,
            42.63867745713785
          ],
          [
            2.525679082500606,
            42.64047347872677
          ],
          [
            2.528101166577502,
            42.640652523772175
          ],
          [
            2.528326448608907,
            42.63885649593947
          ],
          [
            2.525904436297875,
            42.63867745713785
          ]
        ]
      ]
    },
    "properties": {}
  },
  "i_est_1km": 0,
  "i_est_200": 0,
  "idcar_1km": "CRS3035RES1000mN2200000E3707000",
  "idcar_nat": "CRS3035RES4000mN2200000E3704000",
  "ind_11_17": 1,
  "ind_18_24": 1,
  "ind_25_39": 8,
  "ind_40_54": 4,
  "ind_55_64": 2,
  "ind_65_79": 24,
  "log_45_70": 0,
  "log_70_90": 2,
  "log_ap_90": 21,
  "idcar_200m": "CRS3035RES200mN2200800E3707200",
  "com_arm_code": [
    "66230"
  ],
  "com_arm_name": [
    "Vinça"
  ],
  "geo_point_2d": {
    "lat": 42.63966499334372,
    "lon": 2.5270027830434914
  }
}
Record 2men: 6.2 · year: 2017
{
  "men": 6.2,
  "year": "2017",
  "groupe": 411855,
  "ind_0_3": 0.9,
  "ind_4_5": 0.9,
  "ind_80p": 0.5,
  "ind_inc": 0,
  "ind_snv": 201221.7,
  "log_inc": 0,
  "log_soc": 0,
  "men_fmp": 0.7,
  "com_code": [
    "66122"
  ],
  "com_name": [
    "Nohèdes"
  ],
  "dep_code": [
    "66"
  ],
  "dep_name": [
    "Pyrénées-Orientales"
  ],
  "ind_6_10": 0.7,
  "lcog_geo": "66122",
  "log_av45": 3.9,
  "men_1ind": 2.8,
  "men_5ind": 0.5,
  "men_coll": 0.9,
  "men_mais": 5.3,
  "men_pauv": 3,
  "men_prop": 3.2,
  "men_surf": 477.2,
  "pop_carr": 13,
  "reg_code": [
    "76"
  ],
  "reg_name": [
    "Occitanie"
  ],
  "epci_code": [
    "200049211"
  ],
  "epci_name": [
    "CC Conflent-Canigó"
  ],
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            2.285957382467017,
            42.62246180668591
          ],
          [
            2.285724913109362,
            42.62425719677616
          ],
          [
            2.288145769852961,
            42.62444197169949
          ],
          [
            2.288378167600155,
            42.62264657517042
          ],
          [
            2.285957382467017,
            42.62246180668591
          ]
        ]
      ]
    },
    "properties": {}
  },
  "i_est_1km": 0,
  "i_est_200": 1,
  "idcar_1km": "CRS3035RES1000mN2201000E3687000",
  "idcar_nat": "CRS3035RES8000mN2200000E3680000",
  "ind_11_17": 0.3,
  "ind_18_24": 0.9,
  "ind_25_39": 2.1,
  "ind_40_54": 2.5,
  "ind_55_64": 2.1,
  "ind_65_79": 2.1,
  "log_45_70": 0.5,
  "log_70_90": 1.6,
  "log_ap_90": 0.2,
  "idcar_200m": "CRS3035RES200mN2201000E3687400",
  "com_arm_code": [
    "66122"
  ],
  "com_arm_name": [
    "Nohèdes"
  ],
  "geo_point_2d": {
    "lat": 42.62345189202477,
    "lon": 2.287051557791674
  }
}
Record 3men: 2.5 · year: 2017
{
  "men": 2.5,
  "year": "2017",
  "groupe": 412032,
  "ind_0_3": 0.4,
  "ind_4_5": 0.2,
  "ind_80p": 0.5,
  "ind_inc": 0,
  "ind_snv": 98834.4,
  "log_inc": 0,
  "log_soc": 0,
  "men_fmp": 0.1,
  "com_code": [
    "66136"
  ],
  "com_name": [
    "Perpignan"
  ],
  "dep_code": [
    "66"
  ],
  "dep_name": [
    "Pyrénées-Orientales"
  ],
  "ind_6_10": 0.4,
  "lcog_geo": "66136",
  "log_av45": 0.3,
  "men_1ind": 0.9,
  "men_5ind": 0.3,
  "men_coll": 1,
  "men_mais": 1.5,
  "men_pauv": 0.7,
  "men_prop": 1.4,
  "men_surf": 251.7,
  "pop_carr": 6,
  "reg_code": [
    "76"
  ],
  "reg_name": [
    "Occitanie"
  ],
  "epci_code": [
    "200027183"
  ],
  "epci_name": [
    "CU Perpignan Méditerranée Métropole"
  ],
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            2.859616176501686,
            42.668228466196005
          ],
          [
            2.859400689106607,
            42.67002532027194
          ],
          [
            2.861824734164668,
            42.67019639705289
          ],
          [
            2.862040149560196,
            42.668399537003836
          ],
          [
            2.859616176501686,
            42.668228466196005
          ]
        ]
      ]
    },
    "properties": {}
  },
  "i_est_1km": 0,
  "i_est_200": 1,
  "idcar_1km": "CRS3035RES1000mN2201000E3734000",
  "idcar_nat": "CRS3035RES2000mN2200000E3734000",
  "ind_11_17": 0.4,
  "ind_18_24": 0.2,
  "ind_25_39": 1.1,
  "ind_40_54": 0.8,
  "ind_55_64": 0.7,
  "ind_65_79": 1.3,
  "log_45_70": 0.9,
  "log_70_90": 0.3,
  "log_ap_90": 1,
  "idcar_200m": "CRS3035RES200mN2201400E3734800",
  "com_arm_code": [
    "66136"
  ],
  "com_arm_name": [
    "Perpignan"
  ],
  "geo_point_2d": {
    "lat": 42.66921243459236,
    "lon": 2.860720436898624
  }
}
Record 4men: 14 · year: 2017
{
  "men": 14,
  "year": "2017",
  "groupe": 416214,
  "ind_0_3": 2,
  "ind_4_5": 0,
  "ind_80p": 2,
  "ind_inc": 0,
  "ind_snv": 1060207.1,
  "log_inc": 0,
  "log_soc": 0,
  "men_fmp": 1,
  "com_code": [
    "83090"
  ],
  "com_name": [
    "Ollioules"
  ],
  "dep_code": [
    "83"
  ],
  "dep_name": [
    "Var"
  ],
  "ind_6_10": 5,
  "lcog_geo": "8309083126",
  "log_av45": 4,
  "men_1ind": 1,
  "men_5ind": 2,
  "men_coll": 3,
  "men_mais": 11,
  "men_pauv": 1,
  "men_prop": 11,
  "men_surf": 1340,
  "pop_carr": 43,
  "reg_code": [
    "93"
  ],
  "reg_name": [
    "Provence-Alpes-Côte d'Azur"
  ],
  "epci_code": [
    "248300543"
  ],
  "epci_name": [
    "Métropole Toulon-Provence-Méditerranée"
  ],
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            5.880818886300593,
            43.11801740717709
          ],
          [
            5.880692917247752,
            43.119819704914384
          ],
          [
            5.883140768050063,
            43.1199185592877
          ],
          [
            5.883266662639694,
            43.11811625804646
          ],
          [
            5.880818886300593,
            43.11801740717709
          ]
        ]
      ]
    },
    "properties": {}
  },
  "i_est_1km": 0,
  "i_est_200": 0,
  "idcar_1km": "CRS3035RES1000mN2232000E3985000",
  "idcar_nat": "CRS3035RES1000mN2232000E3985000",
  "ind_11_17": 3,
  "ind_18_24": 5,
  "ind_25_39": 4,
  "ind_40_54": 14,
  "ind_55_64": 5,
  "ind_65_79": 3,
  "log_45_70": 0,
  "log_70_90": 1,
  "log_ap_90": 9,
  "idcar_200m": "CRS3035RES200mN2232600E3985000",
  "com_arm_code": [
    "83090"
  ],
  "com_arm_name": [
    "Ollioules"
  ],
  "geo_point_2d": {
    "lat": 43.11896798692967,
    "lon": 5.881979808296209
  }
}
Record 5men: 5.2 · year: 2017
{
  "men": 5.2,
  "year": "2017",
  "groupe": 416654,
  "ind_0_3": 0.5,
  "ind_4_5": 0.4,
  "ind_80p": 0.6,
  "ind_inc": 0.1,
  "ind_snv": 333625.8,
  "log_inc": 0.1,
  "log_soc": 0,
  "men_fmp": 0.9,
  "com_code": [
    "83047"
  ],
  "com_name": [
    "La Crau"
  ],
  "dep_code": [
    "83"
  ],
  "dep_name": [
    "Var"
  ],
  "ind_6_10": 0.6,
  "lcog_geo": "83047",
  "log_av45": 2.4,
  "men_1ind": 1.2,
  "men_5ind": 0.4,
  "men_coll": 1.6,
  "men_mais": 3.6,
  "men_pauv": 0.8,
  "men_prop": 3.7,
  "men_surf": 482.9,
  "pop_carr": 13,
  "reg_code": [
    "93"
  ],
  "reg_name": [
    "Provence-Alpes-Côte d'Azur"
  ],
  "epci_code": [
    "248300543"
  ],
  "epci_name": [
    "Métropole Toulon-Provence-Méditerranée"
  ],
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            6.052180703830953,
            43.1247951952
          ],
          [
            6.052059949399694,
            43.12659773322581
          ],
          [
            6.054508303183136,
            43.1266924778679
          ],
          [
            6.054628983087952,
            43.124889936482795
          ],
          [
            6.052180703830953,
            43.1247951952
          ]
        ]
      ]
    },
    "properties": {}
  },
  "i_est_1km": 0,
  "i_est_200": 1,
  "idcar_1km": "CRS3035RES1000mN2232000E3999000",
  "idcar_nat": "CRS3035RES1000mN2232000E3999000",
  "ind_11_17": 1,
  "ind_18_24": 1,
  "ind_25_39": 1.5,
  "ind_40_54": 2.6,
  "ind_55_64": 2.2,
  "ind_65_79": 2.5,
  "log_45_70": 0.5,
  "log_70_90": 1,
  "log_ap_90": 1.2,
  "idcar_200m": "CRS3035RES200mN2232600E3999000",
  "com_arm_code": [
    "83047"
  ],
  "com_arm_name": [
    "La Crau"
  ],
  "geo_point_2d": {
    "lat": 43.12574384027057,
    "lon": 6.053344484622747
  }
}

Live sample captured at profiling time — values may have changed upstream.

Using the API

Configuration

Base URL
https://public.opendatasoft.com/api/explore/v2.1/catalog/datasets/demographyref-france-donnees-carroyees-200m

License

  • Redistributable
  • Attribution required

Query examples

curl -s 'https://public.opendatasoft.com/api/explore/v2.1/catalog/datasets/demographyref-france-donnees-carroyees-200m/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

10 000 000 req/day
per ipmeasured
observed 2 hours ago

Dataset

Volume & freshness

Records
2.3M
2320518
Last upstream update
4 years ago
2023-02-08
Temporal coverage
2010 → 2015

License

No license declared upstream.

Documentation Data dictionary Versioning

Source: opendatasoft

Machine-readable & source

Données carroyées à 200m - France — live verification badge

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