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1km Gridded Data - Population and HousingDonnées carroyées à 1km - Population et logement

Données carroyées à 1km - Population et logement1km Gridded Data - Population and Housing

APIExecutable4/7Query nowOpen workbenchSubscribe🇫🇷France

This dataset provides 1km gridded estimates of population and housing derived from a specific processing of French tax files, in which each household is assigned a precise geographic position. Originally published by INSEE in 2019, the data is made available via the Aix-Marseille-Provence Métropole open data portal. It offers small-area statistics on population and housing that are otherwise unavailable at fine geographic resolution, useful for local demographic analysis, spatial planning, and territorial studies within the metropolitan area.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 1 km. Le fichier, publié initialement par l'INSEE en 2019, se base s...

54
fair

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

Data schema (44 fields)

Filterable via the API (42)
idcar_1kmi_est_1kmpop_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_arm_namecom_codecom_nameepci_nameepci_codedep_namedep_codereg_namereg_code

Click a field to see example values.

FillFieldTypeDescription
geo_point_2dPoint géographiquegeo_point_2d
geo_shapeForme géographiquegeo_shape
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
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
100%men_surfFilterable via the APISomme de la surface des logements du carreaudouble
100%men_collFilterable via the APINombre de ménages en logements collectifsdouble
100%men_maisFilterable via the APINombre de ménages en maisondouble
100%log_av45Filterable via the APINombre de logements construits avant 1945double
100%log_45_70Filterable via the APINombre de logements construits entre 1945 et 1970double
100%log_70_90Filterable via the APINombre de logements construits entre 1970 et 1990double
100%log_ap_90Filterable via the APINombre de logements construits depuis 1990double
100%log_incFilterable via the APINombre de logements dont la date de construction est inconnuedouble
100%log_socFilterable via the APINombre de logements sociauxdouble
100%ind_0_3Filterable via the APINombre d’individus de 0 à 3 ansdouble
100%ind_4_5Filterable via the APINombre d’individus de 4 à 5 ansdouble
100%ind_6_10Filterable via the APINombre d’individus de 6 à 10 ansdouble
100%ind_11_17Filterable via the APINombre d’individus de 11 à 17 ansdouble
100%ind_18_24Filterable via the APINombre d’individus de 18 à 24 ansdouble
100%ind_25_39Filterable via the APINombre d’individus de 25 à 39 ansdouble
100%ind_40_54Filterable via the APINombre d’individus de 40 à 54 ansdouble
100%ind_55_64Filterable via the APINombre d’individus de 55 à 64 ansdouble
100%ind_65_79Filterable via the APINombre d’individus de 65 à 79 ansdouble
100%ind_80pFilterable via the APINombre d’individus de 80 ans ou plusdouble
100%ind_incFilterable via the APINombre d’individus d’âge inconnudouble
100%men_pauvFilterable via the APINombre de ménages pauvresdouble
100%menFilterable via the APINombre de ménagesdouble
100%lcog_geoFilterable via the APILcog geotext
100%yearFilterable via the APIAnnéetext
100%com_arm_codeFilterable via the APICode Officiel Commune / Arrondissement Municipaltext
100%com_arm_nameFilterable via the APINom Officiel Commune / Arrondissement Municipaltext
100%com_codeFilterable via the APICode Officiel Communetext
100%com_nameFilterable via the APINom Officiel Communetext
100%epci_nameFilterable via the APINom Officiel EPCItext
100%epci_codeFilterable via the APICode Officiel EPCItext
100%dep_nameFilterable via the APINom Officiel Départementtext
100%dep_codeFilterable via the APICode Officiel Départementtext
100%reg_nameFilterable via the APINom Officiel Régiontext
100%reg_codeFilterable via the APICode Officiel Régiontext

Schema captured from opendatasoft 7 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 1men: 6.1 · year: 2017
{
  "men": 6.1,
  "year": "2017",
  "ind_0_3": 0,
  "ind_4_5": 0.5,
  "ind_80p": 1.1,
  "ind_inc": 0,
  "ind_snv": 330781.89999999997,
  "log_inc": 0,
  "log_soc": 0,
  "men_fmp": 0.5,
  "com_code": [
    "13087"
  ],
  "com_name": [
    "Rousset"
  ],
  "dep_code": [
    "13"
  ],
  "dep_name": [
    "Bouches-du-Rhône"
  ],
  "ind_6_10": 0,
  "lcog_geo": "1307913087",
  "log_av45": 1.8,
  "men_1ind": 1.9,
  "men_5ind": 0,
  "men_coll": 0.5,
  "men_mais": 5.600000000000001,
  "men_pauv": 1.1,
  "men_prop": 4.8,
  "men_surf": 682.6999999999999,
  "pop_carr": 12,
  "reg_code": [
    "93"
  ],
  "reg_name": [
    "Provence-Alpes-Côte d'Azur"
  ],
  "epci_code": [
    "200054807"
  ],
  "epci_name": [
    "Métropole d'Aix-Marseille-Provence"
  ],
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            5.631504838255497,
            43.4998398496661
          ],
          [
            5.630829490343771,
            43.50884651336367
          ],
          [
            5.64314836917265,
            43.50937071910394
          ],
          [
            5.643821824143518,
            43.50036396153829
          ],
          [
            5.631504838255497,
            43.4998398496661
          ]
        ]
      ]
    },
    "properties": {}
  },
  "i_est_1km": 1,
  "idcar_1km": "CRS3035RES1000mN2276000E3967000",
  "ind_11_17": 0,
  "ind_18_24": 0,
  "ind_25_39": 1.9,
  "ind_40_54": 1.9,
  "ind_55_64": 1.3,
  "ind_65_79": 5.300000000000001,
  "log_45_70": 0.7,
  "log_70_90": 3.6,
  "log_ap_90": 0,
  "com_arm_code": [
    "13087"
  ],
  "com_arm_name": [
    "Rousset"
  ],
  "geo_point_2d": {
    "lat": 43.504605376384085,
    "lon": 5.63732612335096
  }
}
Record 2men: 126 · year: 2017
{
  "men": 126,
  "year": "2017",
  "ind_0_3": 9.9,
  "ind_4_5": 6.000000000000001,
  "ind_80p": 19.2,
  "ind_inc": 0,
  "ind_snv": 10065933.500000002,
  "log_inc": 0,
  "log_soc": 0,
  "men_fmp": 8.100000000000001,
  "com_code": [
    "13060"
  ],
  "com_name": [
    "Meyreuil"
  ],
  "dep_code": [
    "13"
  ],
  "dep_name": [
    "Bouches-du-Rhône"
  ],
  "ind_6_10": 16.5,
  "lcog_geo": "1306013001",
  "log_av45": 31.000000000000004,
  "men_1ind": 36.2,
  "men_5ind": 11.099999999999998,
  "men_coll": 15,
  "men_mais": 111,
  "men_pauv": 13.099999999999998,
  "men_prop": 100.10000000000001,
  "men_surf": 15967.000000000002,
  "pop_carr": 312,
  "reg_code": [
    "93"
  ],
  "reg_name": [
    "Provence-Alpes-Côte d'Azur"
  ],
  "epci_code": [
    "200054807"
  ],
  "epci_name": [
    "Métropole d'Aix-Marseille-Provence"
  ],
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            5.470702338041865,
            43.50189732202654
          ],
          [
            5.470002105615906,
            43.51090266901759
          ],
          [
            5.482320251808799,
            43.51144618773984
          ],
          [
            5.483018592180587,
            43.502440743428615
          ],
          [
            5.470702338041865,
            43.50189732202654
          ]
        ]
      ]
    },
    "properties": {}
  },
  "i_est_1km": 0,
  "idcar_1km": "CRS3035RES1000mN2277000E3954000",
  "ind_11_17": 23.5,
  "ind_18_24": 30.100000000000005,
  "ind_25_39": 34.900000000000006,
  "ind_40_54": 68,
  "ind_55_64": 62.80000000000001,
  "ind_65_79": 41.099999999999994,
  "log_45_70": 44.1,
  "log_70_90": 27.9,
  "log_ap_90": 22.999999999999996,
  "com_arm_code": [
    "13060"
  ],
  "com_arm_name": [
    "Meyreuil"
  ],
  "geo_point_2d": {
    "lat": 43.50667184596486,
    "lon": 5.476510814527025
  }
}
Record 3men: 4.8 · year: 2017
{
  "men": 4.8,
  "year": "2017",
  "ind_0_3": 0.4,
  "ind_4_5": 0,
  "ind_80p": 0.3,
  "ind_inc": 0,
  "ind_snv": 313707.9,
  "log_inc": 0,
  "log_soc": 0,
  "men_fmp": 0.4,
  "com_code": [
    "13013"
  ],
  "com_name": [
    "Belcodène"
  ],
  "dep_code": [
    "13"
  ],
  "dep_name": [
    "Bouches-du-Rhône"
  ],
  "ind_6_10": 0.7,
  "lcog_geo": "1301313040",
  "log_av45": 0.6,
  "men_1ind": 1.4,
  "men_5ind": 0.4,
  "men_coll": 0,
  "men_mais": 4.8,
  "men_pauv": 0.7,
  "men_prop": 3.9,
  "men_surf": 427.9,
  "pop_carr": 11,
  "reg_code": [
    "93"
  ],
  "reg_name": [
    "Provence-Alpes-Côte d'Azur"
  ],
  "epci_code": [
    "200054807"
  ],
  "epci_name": [
    "Métropole d'Aix-Marseille-Provence"
  ],
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            5.56309058525262,
            43.42461277244938
          ],
          [
            5.562406135956142,
            43.4336194473534
          ],
          [
            5.574708699104034,
            43.43415176027092
          ],
          [
            5.575391262382806,
            43.42514499024836
          ],
          [
            5.56309058525262,
            43.42461277244938
          ]
        ]
      ]
    },
    "properties": {}
  },
  "i_est_1km": 1,
  "idcar_1km": "CRS3035RES1000mN2268000E3961000",
  "ind_11_17": 0.8,
  "ind_18_24": 0.5,
  "ind_25_39": 0.8,
  "ind_40_54": 2.2,
  "ind_55_64": 2.5,
  "ind_65_79": 2.8,
  "log_45_70": 2.6,
  "log_70_90": 1.5,
  "log_ap_90": 0.1,
  "com_arm_code": [
    "13013"
  ],
  "com_arm_name": [
    "Belcodène"
  ],
  "geo_point_2d": {
    "lat": 43.42938235778104,
    "lon": 5.568899163469714
  }
}
Record 4men: 54.99999999999999 · year: 2017
{
  "men": 54.99999999999999,
  "year": "2017",
  "ind_0_3": 8,
  "ind_4_5": 2,
  "ind_80p": 2.9,
  "ind_inc": 0,
  "ind_snv": 4728369.999999999,
  "log_inc": 3,
  "log_soc": 0,
  "men_fmp": 2,
  "com_code": [
    "13080"
  ],
  "com_name": [
    "Le Puy-Sainte-Réparade"
  ],
  "dep_code": [
    "13"
  ],
  "dep_name": [
    "Bouches-du-Rhône"
  ],
  "ind_6_10": 12.099999999999998,
  "lcog_geo": "13080",
  "log_av45": 12.1,
  "men_1ind": 11,
  "men_5ind": 6,
  "men_coll": 7,
  "men_mais": 48.00000000000001,
  "men_pauv": 3,
  "men_prop": 45.900000000000006,
  "men_surf": 6905.7,
  "pop_carr": 157,
  "reg_code": [
    "93"
  ],
  "reg_name": [
    "Provence-Alpes-Côte d'Azur"
  ],
  "epci_code": [
    "200054807"
  ],
  "epci_name": [
    "Métropole d'Aix-Marseille-Provence"
  ],
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            5.422425357186891,
            43.64433036175654
          ],
          [
            5.421714784457911,
            43.653334259663445
          ],
          [
            5.434062683228386,
            43.6538837880242
          ],
          [
            5.434771351890061,
            43.64487979133899
          ],
          [
            5.422425357186891,
            43.64433036175654
          ]
        ]
      ]
    },
    "properties": {}
  },
  "i_est_1km": 0,
  "idcar_1km": "CRS3035RES1000mN2293000E3951000",
  "ind_11_17": 15.9,
  "ind_18_24": 13.9,
  "ind_25_39": 26.1,
  "ind_40_54": 36,
  "ind_55_64": 24.1,
  "ind_65_79": 16,
  "log_45_70": 1.8,
  "log_70_90": 8.1,
  "log_ap_90": 30,
  "com_arm_code": [
    "13080"
  ],
  "com_arm_name": [
    "Le Puy-Sainte-Réparade"
  ],
  "geo_point_2d": {
    "lat": 43.6491071660449,
    "lon": 5.428243536665024
  }
}
Record 5men: 2.1 · year: 2017
{
  "men": 2.1,
  "year": "2017",
  "ind_0_3": 0,
  "ind_4_5": 0,
  "ind_80p": 0.1,
  "ind_inc": 0.1,
  "ind_snv": 102670.5,
  "log_inc": 0,
  "log_soc": 0,
  "men_fmp": 0.3,
  "com_code": [
    "13050"
  ],
  "com_name": [
    "Lambesc"
  ],
  "dep_code": [
    "13"
  ],
  "dep_name": [
    "Bouches-du-Rhône"
  ],
  "ind_6_10": 0.2,
  "lcog_geo": "1305013115",
  "log_av45": 0.2,
  "men_1ind": 0.4,
  "men_5ind": 0.2,
  "men_coll": 0.2,
  "men_mais": 1.9,
  "men_pauv": 0.3,
  "men_prop": 0.8,
  "men_surf": 280.1,
  "pop_carr": 5,
  "reg_code": [
    "93"
  ],
  "reg_name": [
    "Provence-Alpes-Côte d'Azur"
  ],
  "epci_code": [
    "200054807"
  ],
  "epci_name": [
    "Métropole d'Aix-Marseille-Provence"
  ],
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            5.197998429284614,
            43.661193263363515
          ],
          [
            5.197252684916084,
            43.67019512063504
          ],
          [
            5.209602434390718,
            43.67077163328447
          ],
          [
            5.210346274802581,
            43.66176967235443
          ],
          [
            5.197998429284614,
            43.661193263363515
          ]
        ]
      ]
    },
    "properties": {}
  },
  "i_est_1km": 1,
  "idcar_1km": "CRS3035RES1000mN2296000E3933000",
  "ind_11_17": 0.5,
  "ind_18_24": 0.1,
  "ind_25_39": 1.3,
  "ind_40_54": 1.4,
  "ind_55_64": 0.2,
  "ind_65_79": 1.1,
  "log_45_70": 0.2,
  "log_70_90": 0.5,
  "log_ap_90": 1.2,
  "com_arm_code": [
    "13050"
  ],
  "com_arm_name": [
    "Lambesc"
  ],
  "geo_point_2d": {
    "lat": 43.66598253822261,
    "lon": 5.20379994795591
  }
}

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

Verification Status

Using the API

Configuration

Base URL
https://data.ampmetropole.fr/api/explore/v2.1/catalog/datasets/donnees-carroyees-a-1km-france

License

  • Redistributable
  • Attribution required

Query examples

curl -s 'https://data.ampmetropole.fr/api/explore/v2.1/catalog/datasets/donnees-carroyees-a-1km-france/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 7 days ago

Dataset

Volume & freshness

Records
2.3k
2284
Last upstream update
4 years ago
2023-02-08

License

No license declared upstream.

Documentation Data dictionary Versioning

Source: opendatasoft

Machine-readable & source

Données carroyées à 1km -  Population et logement — live verification badge

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