French Population: Gridded Data at 200-Metre Resolution - 2010Population française : Données Carroyées à 200 mètres - 2010

Name: French Population: Gridded Data at 200-Metre Resolution - 2010
Creator: opendatasoft

Population française : Données Carroyées à 200 mètres - 2010French Population: Gridded Data at 200-Metre Resolution - 2010

APIExecutable4/7Query nowOpen workbench Subscribe🇫🇷France

Website Docs

This dataset provides gridded population estimates for metropolitan France at a 200-metre resolution, derived from a specific processing of tax records that assigns each household a precise geographic position. Originally published by INSEE (the French national statistics institute) in December 2016, the data allow fine-grained analysis of population distribution beyond standard administrative boundaries, supporting spatial planning, socio-economic studies, and territorial analysis at a highly detailed geographic 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 Décembre 2016,...

⬇ Export CSV List records Select & filter Run verified request Read the docs

Trust score

How is this computed?

fair

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

Data schema (12 fields)

Filterable via the API (10)

idinspireididkind_cnbcarcodelibepcilibgeoregiondepartement

Click a field to see example values.

Field	Type	Description
idinspireIdentifiant INSPIRE du carreau habité	text	—
idIdentifiant du carreau habité	text	—
idkIdentifiant du rectangle d’appartenance du carreau habité	text	—
ind_cNombre d’individus résidant dans le carreau	double	—
nbcarNombre de carreaux habités du rectangle d’appartenance	double	—
geo_point_2dCoordinates	geo_point_2d	—
geo_shapeShape	geo_shape	—
code	int	—
libepciEPCI	text	—
libgeoCommune	text	—
region	text	—
departement	text	—

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.

Where=

Sort by

Sample data (5 records)

Record 1id: LAEA200M_N11928E18800 · idk: N11927E18800-N11928E18801

{
  "id": "LAEA200M_N11928E18800",
  "idk": "N11927E18800-N11928E18801",
  "code": 12270,
  "ind_c": 3,
  "nbcar": 4,
  "libgeo": "Sévérac-le-Château",
  "region": "MIDI-PYRENEES",
  "libepci": "CC de Séverac le Château",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            2.967713637540434,
            44.34349688995979
          ],
          [
            2.967490955742062,
            44.34529147778762
          ],
          [
            2.969985615677989,
            44.345460727333965
          ],
          [
            2.970208093426453,
            44.343666135023476
          ],
          [
            2.967713637540434,
            44.34349688995979
          ]
        ]
      ]
    },
    "properties": {}
  },
  "idinspire": "CRS3035RES200mN2385600E3760000",
  "departement": "AVEYRON",
  "geo_point_2d": {
    "lat": 44.3444788196,
    "lon": 2.96884957301
  }
}

Record 2id: LAEA200M_N12167E18067 · idk: N12167E18066-N12169E18067

{
  "id": "LAEA200M_N12167E18067",
  "idk": "N12167E18066-N12169E18067",
  "code": 24585,
  "ind_c": 6,
  "nbcar": 5,
  "libgeo": "Villefranche-du-Périgord",
  "region": "AQUITAINE",
  "libepci": "CC du Pays du Châtaignier",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            1.07575580948503,
            44.630949162194376
          ],
          [
            1.075471094778868,
            44.632737847302735
          ],
          [
            1.077973177233514,
            44.63295261544012
          ],
          [
            1.07825781126624,
            44.63116401373433
          ],
          [
            1.07575580948503,
            44.630949162194376
          ]
        ]
      ]
    },
    "properties": {}
  },
  "idinspire": "CRS3035RES200mN2433400E3613400",
  "departement": "DORDOGNE",
  "geo_point_2d": {
    "lat": 44.6319509127,
    "lon": 1.07686446217
  }
}

Record 3id: LAEA200M_N13926E19074 · idk: N13925E19073-N13929E19081

{
  "id": "LAEA200M_N13926E19074",
  "idk": "N13925E19073-N13929E19081",
  "code": 89313,
  "ind_c": 7,
  "nbcar": 9,
  "libgeo": "Précy-sur-Vrin",
  "region": "BOURGOGNE",
  "libepci": "nd",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            3.213321034241427,
            47.970996706325145
          ],
          [
            3.21308185839347,
            47.972787719289265
          ],
          [
            3.215750040995913,
            47.97295269847695
          ],
          [
            3.215988993208031,
            47.971161681210184
          ],
          [
            3.213321034241427,
            47.970996706325145
          ]
        ]
      ]
    },
    "properties": {}
  },
  "idinspire": "CRS3035RES200mN2785200E3814800",
  "departement": "YONNE",
  "geo_point_2d": {
    "lat": 47.9719747137,
    "lon": 3.21453547888
  }
}

Record 4id: LAEA200M_N11499E19648 · idk: N11496E19642-N11501E19648

{
  "id": "LAEA200M_N11499E19648",
  "idk": "N11496E19642-N11501E19648",
  "code": 13003,
  "ind_c": 4,
  "nbcar": 10,
  "libgeo": "Alleins",
  "region": "PROVENCE-ALPES-COTE D'AZUR",
  "libepci": "CA Salon Etang de Berre Durance",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            5.153156988965764,
            43.69342745098016
          ],
          [
            5.15300628867548,
            43.695227701882565
          ],
          [
            5.155477265674941,
            43.69534421523984
          ],
          [
            5.155627888302114,
            43.693543960695905
          ],
          [
            5.153156988965764,
            43.69342745098016
          ]
        ]
      ]
    },
    "properties": {}
  },
  "idinspire": "CRS3035RES200mN2299800E3929600",
  "departement": "BOUCHES-DU-RHONE",
  "geo_point_2d": {
    "lat": 43.6943858369,
    "lon": 5.15431710751
  }
}

Record 5id: LAEA200M_N14045E20709 · idk: N14045E20709-N14046E20709

{
  "id": "LAEA200M_N14045E20709",
  "idk": "N14045E20709-N14046E20709",
  "code": 67216,
  "ind_c": 5,
  "nbcar": 2,
  "libgeo": "Huttenheim",
  "region": "ALSACE",
  "libepci": "CC de Benfeld et Environs",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            7.581969340395827,
            48.36806589717167
          ],
          [
            7.581883012546069,
            48.36986411544227
          ],
          [
            7.584580109376933,
            48.369923119007524
          ],
          [
            7.584666201160617,
            48.36812481531705
          ],
          [
            7.581969340395827,
            48.36806589717167
          ]
        ]
      ]
    },
    "properties": {}
  },
  "idinspire": "CRS3035RES200mN2809000E4141800",
  "departement": "BAS-RHIN",
  "geo_point_2d": {
    "lat": 48.3689945003,
    "lon": 7.58327467525
  }
}

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

Verification Status

Using the API

Configuration

Base URL: https://public.opendatasoft.com/api/explore/v2.1/catalog/datasets/200m_carreaux_metropole_shapefile_wgs84

License

Licence Ouverte 2.0 (France / Etalab)Open

✓ Redistributable
✓ Attribution required

Query examples

curl -s 'https://public.opendatasoft.com/api/explore/v2.1/catalog/datasets/200m_carreaux_metropole_shapefile_wgs84/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

2.3M

2278213

Last upstream update

6 years ago

2020-07-08

License

No license declared upstream.

○ Documentation○ Data dictionary○ Versioning

Source: opendatasoft

Machine-readable & source

JSON

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