Bordeaux Métropole Population: 200-Metre Gridded Data - 2015 VintagePopulation Bordeaux Métropole : Données Carroyées à 200 mètres - Millésimé 2015

Name: Bordeaux Métropole Population: 200-Metre Gridded Data - 2015 Vintage
Creator: INSEE
License: https://www.etalab.gouv.fr/wp-content/uploads/2017/04/ETALAB-Licence-Ouverte-v2.0.pdf

Population Bordeaux Métropole : Données Carroyées à 200 mètres - Millésimé 2015Bordeaux Métropole Population: 200-Metre Gridded Data - 2015 Vintage

Published by INSEE

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This dataset provides gridded population estimates for Bordeaux Métropole at a 200-metre resolution, based on the 2015 tax-year data. It results from a specific processing of French fiscal files that assigns each household a precise geographic position, allowing population figures to be aggregated into a regular grid rather than administrative boundaries. Originally published by INSEE, the national statistics institute, in 2019, the data is useful for fine-grained spatial analysis of population distribution within the metropolitan area, supporting urban planning, demographic studies, and territorial diagnostics at a local scale.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. Le fichier, publié initialement par l'INSEE en 2019, se base...

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Data schema (42 fields)

Filterable via the API (40)

idinspirecodelibepcilibgeoid_carr1kmi_est_crid_carr_ngroupei_pauvid_car2010indmenmen_pauvmen_1indmen_5indmen_propmen_fmpind_snvmen_surfmen_collmen_maislog_av45log_45_70log_70_90log_ap90log_inclog_socind_0_3ind_4_5ind_6_10ind_11_17ind_18_24ind_25_39ind_40_54ind_55_64ind_65_79ind_80pind_incregiondepartement

Click a field to see example values.

Fill	Field	Type	Description
—	idinspireIdentifiant INSPIRE du carreau habité	text	INSPIRE identifier of the 200m grid cell.Identifiant basé sur la norme Inspire2 : « CRS » pour « coordinate reference system » + code_crs (code projection EPSG) + « RES » pour « résolution » + « 200m » + « N » pour Nord + coordonnée_y_coin_inférieur_gauche + « E » pour Est + coordonnée_x_coin_inférieur_gauche
—	geo_point_2dCoordinates	geo_point_2d	Geographic center point of the grid cell.Geographic center point of the grid cell.
—	geo_shapeShape	geo_shape	Geometric shape (polygon) of the grid cell.Geometric shape (polygon) of the grid cell.
—	codecode INSEE	text	INSEE code of the municipality.INSEE code of the municipality.
—	libepciEPCI	text	Name of the intermunicipal cooperation body (EPCI).Name of the intermunicipal cooperation body (EPCI).
—	libgeoCommune	text	Name of the municipality.Name of the municipality.
—	id_carr1kmIdentifiant carreau 1km	text	Identifier of the 1km grid cell containing this cell.Identifiant du carreau de 1 km auquel appartient le carreau de 200 m
—	i_est_crMéthode de calcul	text	Calculation method used to estimate the cell's values.Calculation method used to estimate the cell's values.
—	id_carr_nIndentifiant carreau naturel	text	Identifier of the natural-level grid cell containing this cell.Identifiant du carreau de niveau naturel auquel appartient le carreau de 200 m
—	groupe	int	Group number to which the grid cell belongs.Numéro du groupe auquel appartient le carreau
100%	i_pauvRetraitement ménages pauvres	text	Indicates if poor-household count was adjusted for confidentiality.Indique si le carreau a été traité pour respecter la confidentialité sur le nombre de ménages pauvres (valeur ramenée à 80 % du nombre de ménages).
97.8%	id_car2010Identifiant 2010	text	INSPIRE identifier of the corresponding 200m cell in the 2010 dataset.L’identifiant Inspire du carreau de 200 m présent dans la base de données carroyées à 200 m issu de la source RFL2010 (il diffère en nombre de caractères).
100%	indNombre d’individus	double	Number of individuals in the grid cell.Number of individuals in the grid cell.
100%	menNombre de ménages	double	Number of households in the grid cell.Number of households in the grid cell.
100%	men_pauvNombre de ménages pauvres	double	Number of poor households in the grid cell.Number of poor households in the grid cell.
100%	men_1indNombre de ménages d’un seul individu	double	Number of single-person households in the grid cell.Number of single-person households in the grid cell.
100%	men_5indNombre de ménages de 5 individus ou plus	double	Number of households with 5 or more individuals.Number of households with 5 or more individuals.
100%	men_propNombre de ménages propriétaires	double	Number of owner-occupier households in the grid cell.Number of owner-occupier households in the grid cell.
100%	men_fmpNombre de ménages monoparentaux	double	Number of single-parent households in the grid cell.Number of single-parent households in the grid cell.
100%	ind_snvSomme des niveaux de vie winsorisés des individus	double	Sum of winsorized standard of living of individuals.Sum of winsorized standard of living of individuals.
100%	men_surfSomme de la surface des logements du carreau	double	Total dwelling floor area of households in the cell.Total dwelling floor area of households in the cell.
100%	men_collNombre de ménages en logement collectif	double	Number of households living in apartment buildings.Number of households living in apartment buildings.
100%	men_maisNombre de ménages en maison	double	Number of households living in houses.Number of households living in houses.
100%	log_av45Nombre de logements construits avant 1945	double	Number of dwellings built before 1945.Number of dwellings built before 1945.
100%	log_45_70Nombre de logements construits entre 1945 et 1969	double	Number of dwellings built between 1945 and 1969.Number of dwellings built between 1945 and 1969.
100%	log_70_90Nombre de logements construits entre 1970 et 1989	double	Number of dwellings built between 1970 and 1989.Number of dwellings built between 1970 and 1989.
100%	log_ap90Nombre de logements construits depuis 1990	double	Number of dwellings built since 1990.Number of dwellings built since 1990.
100%	log_incNombre de logements dont la date de construction est inconnue	double	Number of dwellings with unknown construction date.Number of dwellings with unknown construction date.
100%	log_socNombre de logements sociaux	double	Number of social housing dwellings.Number of social housing dwellings.
100%	ind_0_3Nombre d’individus de 0 à 3 ans	double	Number of individuals aged 0 to 3.Number of individuals aged 0 to 3.
100%	ind_4_5Nombre d’individus de 4 à 5 ans	double	Number of individuals aged 4 to 5.Number of individuals aged 4 to 5.
100%	ind_6_10Nombre d’individus de 6 à 10 ans	double	Number of individuals aged 6 to 10.Number of individuals aged 6 to 10.
100%	ind_11_17Nombre d’individus de 11 à 17 ans	double	Number of individuals aged 11 to 17.Number of individuals aged 11 to 17.
100%	ind_18_24Nombre d’individus de 18 à 24 ans	double	Number of individuals aged 18 to 24; may be biased by tax dependency.Attention : les individus de 18 à 24 ans peuvent être rattachés fiscalement au foyer de leurs parents, entraînant un biais dans la mesure de la population de cette tranche d’âge réellement présente sur le carreau.
100%	ind_25_39Nombre d’individus de 25 à 39 ans	double	Number of individuals aged 25 to 39.Number of individuals aged 25 to 39.
100%	ind_40_54Nombre d’individus de 40 à 54 ans	double	Number of individuals aged 40 to 54.Number of individuals aged 40 to 54.
100%	ind_55_64Nombre d’individus de 55 à 64 ans	double	Number of individuals aged 55 to 64.Number of individuals aged 55 to 64.
100%	ind_65_79Nombre d’individus de 65 à 79 ans	double	Number of individuals aged 65 to 79.Number of individuals aged 65 to 79.
100%	ind_80pNombre d’individus de 80 ans ou plus	double	Number of individuals aged 80 or older.Number of individuals aged 80 or older.
100%	ind_incNombre d’individus dont l’âge est inconnu	double	Number of individuals with unknown age.Number of individuals with unknown age.
100%	region	text	Region in which the grid cell is located.Region in which the grid cell is located.
100%	departement	text	Department in which the grid cell is located.Department in which the grid cell is located.

Schema captured from opendatasoft 2 days ago.

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Sample data (5 records)

Record 1ind: 571 · men: 281

{
  "ind": 571,
  "men": 281,
  "code": "33075",
  "groupe": 554287,
  "i_pauv": "Pas de retraitement",
  "libgeo": "Bruges",
  "region": "AQUITAINE",
  "ind_0_3": 43,
  "ind_4_5": 19,
  "ind_80p": 31,
  "ind_inc": 5,
  "ind_snv": 11986827.1,
  "libepci": "CU de Bordeaux",
  "log_inc": 0,
  "log_soc": 19,
  "men_fmp": 41,
  "i_est_cr": "Valeur exacte",
  "ind_6_10": 38.5,
  "log_ap90": 15,
  "log_av45": 0,
  "men_1ind": 119,
  "men_5ind": 8,
  "men_coll": 273,
  "men_mais": 8,
  "men_pauv": 24,
  "men_prop": 182,
  "men_surf": 18850,
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            -0.613383038676264,
            44.88431808006888
          ],
          [
            -0.613723925717184,
            44.88610027924212
          ],
          [
            -0.611216388838563,
            44.88635584237788
          ],
          [
            -0.610875579506725,
            44.88457363377131
          ],
          [
            -0.613383038676264,
            44.88431808006888
          ]
        ]
      ]
    },
    "properties": {}
  },
  "id_carr_n": "CRS3035RES2000mN2478000E3484000",
  "idinspire": "CRS3035RES200mN2478800E3484200",
  "ind_11_17": 35.5,
  "ind_18_24": 35,
  "ind_25_39": 168,
  "ind_40_54": 91,
  "ind_55_64": 47,
  "ind_65_79": 58,
  "log_45_70": 260,
  "log_70_90": 6,
  "id_car2010": "CRS3035RES200mN2478800E3484200",
  "id_carr1km": "CRS3035RES1000mN2478000E3484000",
  "departement": "GIRONDE",
  "geo_point_2d": {
    "lat": 44.8853369635,
    "lon": -0.612299733894
  }
}

Record 2ind: 215.5 · men: 78

{
  "ind": 215.5,
  "men": 78,
  "code": "33162",
  "groupe": 552733,
  "i_pauv": "Pas de retraitement",
  "libgeo": "Eysines",
  "region": "AQUITAINE",
  "ind_0_3": 5,
  "ind_4_5": 3.5,
  "ind_80p": 6,
  "ind_inc": 12,
  "ind_snv": 5648800.7,
  "libepci": "CU de Bordeaux",
  "log_inc": 0,
  "log_soc": 31,
  "men_fmp": 12,
  "i_est_cr": "Valeur exacte",
  "ind_6_10": 20,
  "log_ap90": 35,
  "log_av45": 0,
  "men_1ind": 14,
  "men_5ind": 7,
  "men_coll": 0,
  "men_mais": 78,
  "men_pauv": 2,
  "men_prop": 44,
  "men_surf": 7726,
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            -0.63720645828836,
            44.861899727110966
          ],
          [
            -0.637547886034607,
            44.86368186523687
          ],
          [
            -0.635041429541142,
            44.86393798393205
          ],
          [
            -0.634700079406915,
            44.86215583635857
          ],
          [
            -0.63720645828836,
            44.861899727110966
          ]
        ]
      ]
    },
    "properties": {}
  },
  "id_carr_n": "CRS3035RES200mN2476600E3482000",
  "idinspire": "CRS3035RES200mN2476600E3482000",
  "ind_11_17": 22,
  "ind_18_24": 11,
  "ind_25_39": 24,
  "ind_40_54": 55,
  "ind_55_64": 43,
  "ind_65_79": 14,
  "log_45_70": 14,
  "log_70_90": 29,
  "id_car2010": "CRS3035RES200mN2476600E3482000",
  "id_carr1km": "CRS3035RES1000mN2476000E3482000",
  "departement": "GIRONDE",
  "geo_point_2d": {
    "lat": 44.8629188578,
    "lon": -0.636123964028
  }
}

Record 3ind: 6 · men: 2.7

{
  "ind": 6,
  "men": 2.7,
  "code": "33449",
  "groupe": 555556,
  "i_pauv": "Pas de retraitement",
  "libgeo": "Saint-Médard-en-Jalles",
  "region": "AQUITAINE",
  "ind_0_3": 0.1,
  "ind_4_5": 0.1,
  "ind_80p": 0.7,
  "ind_inc": 0.1,
  "ind_snv": 169872,
  "libepci": "CU de Bordeaux",
  "log_inc": 0,
  "log_soc": 0,
  "men_fmp": 0.1,
  "i_est_cr": "Valeur approchée",
  "ind_6_10": 0.1,
  "log_ap90": 0.3,
  "log_av45": 0.4,
  "men_1ind": 0.5,
  "men_5ind": 0,
  "men_coll": 0.2,
  "men_mais": 2.5,
  "men_pauv": 0.1,
  "men_prop": 2.5,
  "men_surf": 267.5,
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            -0.738636731870536,
            44.88419457170321
          ],
          [
            -0.738981625062172,
            44.88597627859489
          ],
          [
            -0.736474556890099,
            44.88623484570307
          ],
          [
            -0.736129741321865,
            44.88445312926944
          ],
          [
            -0.738636731870536,
            44.88419457170321
          ]
        ]
      ]
    },
    "properties": {}
  },
  "id_carr_n": "CRS3035RES1000mN2480000E3474000",
  "idinspire": "CRS3035RES200mN2480200E3474400",
  "ind_11_17": 0.4,
  "ind_18_24": 0,
  "ind_25_39": 0.5,
  "ind_40_54": 1.3,
  "ind_55_64": 0.7,
  "ind_65_79": 2,
  "log_45_70": 0.2,
  "log_70_90": 1.8,
  "id_car2010": "CRS3035RES200mN2480200E3474400",
  "id_carr1km": "CRS3035RES1000mN2480000E3474000",
  "departement": "GIRONDE",
  "geo_point_2d": {
    "lat": 44.885214711,
    "lon": -0.737555664503
  }
}

Record 4ind: 81 · men: 31

{
  "ind": 81,
  "men": 31,
  "code": "33318",
  "groupe": 546519,
  "i_pauv": "Pas de retraitement",
  "libgeo": "Pessac",
  "region": "AQUITAINE",
  "ind_0_3": 1.5,
  "ind_4_5": 0,
  "ind_80p": 2,
  "ind_inc": 3,
  "ind_snv": 2224125.6,
  "libepci": "CU de Bordeaux",
  "log_inc": 0,
  "log_soc": 0,
  "men_fmp": 2,
  "i_est_cr": "Valeur exacte",
  "ind_6_10": 6.5,
  "log_ap90": 0,
  "log_av45": 0,
  "men_1ind": 6,
  "men_5ind": 2,
  "men_coll": 0,
  "men_mais": 31,
  "men_pauv": 3,
  "men_prop": 29,
  "men_surf": 3178,
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            -0.682853097456068,
            44.79362299806037
          ],
          [
            -0.683195308400507,
            44.79540505552833
          ],
          [
            -0.680692036659715,
            44.795662220542795
          ],
          [
            -0.68034990305072,
            44.79388015360741
          ],
          [
            -0.682853097456068,
            44.79362299806037
          ]
        ]
      ]
    },
    "properties": {}
  },
  "id_carr_n": "CRS3035RES1000mN2469000E3477000",
  "idinspire": "CRS3035RES200mN2469600E3477400",
  "ind_11_17": 8,
  "ind_18_24": 4,
  "ind_25_39": 11,
  "ind_40_54": 17,
  "ind_55_64": 10,
  "ind_65_79": 18,
  "log_45_70": 0,
  "log_70_90": 31,
  "id_car2010": "CRS3035RES200mN2469600E3477400",
  "id_carr1km": "CRS3035RES1000mN2469000E3477000",
  "departement": "GIRONDE",
  "geo_point_2d": {
    "lat": 44.7946426116,
    "lon": -0.681772587101
  }
}

Record 5ind: 4 · men: 1.5

{
  "ind": 4,
  "men": 1.5,
  "code": "33004",
  "groupe": 236838,
  "i_pauv": "Pas de retraitement",
  "libgeo": "Ambès",
  "region": "AQUITAINE",
  "ind_0_3": 0.2,
  "ind_4_5": 0.2,
  "ind_80p": 0.1,
  "ind_inc": 0.2,
  "ind_snv": 81857,
  "libepci": "CU de Bordeaux",
  "log_inc": 0,
  "log_soc": 0,
  "men_fmp": 0.2,
  "i_est_cr": "Valeur approchée",
  "ind_6_10": 0.1,
  "log_ap90": 0.4,
  "log_av45": 0.8,
  "men_1ind": 0.2,
  "men_5ind": 0.2,
  "men_coll": 0.2,
  "men_mais": 1.3,
  "men_pauv": 0.5,
  "men_prop": 0.8,
  "men_surf": 197.8,
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            -0.541738495469621,
            44.99151407140617
          ],
          [
            -0.542078142869532,
            44.993296397095996
          ],
          [
            -0.539565580544022,
            44.99355031698987
          ],
          [
            -0.539226011290468,
            44.99176798189818
          ],
          [
            -0.541738495469621,
            44.99151407140617
          ]
        ]
      ]
    },
    "properties": {}
  },
  "id_carr_n": "CRS3035RES2000mN2488000E3490000",
  "idinspire": "CRS3035RES200mN2489800E3491400",
  "ind_11_17": 0.6,
  "ind_18_24": 0.1,
  "ind_25_39": 0.4,
  "ind_40_54": 0.9,
  "ind_55_64": 0.6,
  "ind_65_79": 0.6,
  "log_45_70": 0.1,
  "log_70_90": 0.2,
  "id_car2010": "CRS3035RES200mN2489800E3491400",
  "id_carr1km": "CRS3035RES1000mN2489000E3491000",
  "departement": "GIRONDE",
  "geo_point_2d": {
    "lat": 44.9925321965,
    "lon": -0.540652058253
  }
}

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

Verification Status

Using the API

Configuration

Base URL: https://opendata.bordeaux-metropole.fr/api/explore/v2.1/catalog/datasets/population-bordeaux-metropole-donnees-carroyees-a-200-metres-millesime-2015

License

Licence Ouverte 2.0 (France / Etalab)Open

✓ Redistributable
✓ Attribution required

Query examples

curl -s 'https://opendata.bordeaux-metropole.fr/api/explore/v2.1/catalog/datasets/population-bordeaux-metropole-donnees-carroyees-a-200-metres-millesime-2015/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 days ago

Dataset

Volume & freshness

Records

6.5k

6490

Last upstream update

6 years ago

2020-07-10

License

No license declared upstream.

○ Documentation○ Data dictionary○ Versioning

Source: opendatasoft

Machine-readable & source

JSON

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