Filosofi Grid (income, poverty and living standards, 2021)Carroyage Filosofi (revenus, pauvreté et niveau de vie en 2021)

Carroyage Filosofi (revenus, pauvreté et niveau de vie en 2021)Filosofi Grid (income, poverty and living standards, 2021)

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Dataset published on the Bordeaux Métropole open data portal providing socio-economic indicators on income, poverty and living standards, gridded at a 200-metre resolution across the metropolitan area. The figures derive from the Filosofi file (Fichier Localisé Social et Fiscal), a localised social and fiscal dataset produced by INSEE, France's national statistics institute, combining tax and social benefit records. The grid format allows fine-scale spatial analysis of socio-economic conditions within Bordeaux Métropole for research, planning and policy purposes.Dictionnaire Public Ce jeu de données présente des informations socio-économiques (revenus, pauvreté et niveau de vie) par carreau de 200 mètres de côté sur la métropole de Bordeaux. La source de ces statistiques est le "Fichier Localisé Social et Fiscal" (Filosofi), fournie par l'INSEE, dont le...

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Data schema (37 fields)

Filterable via the API (35)

gididentinseeval_approcheenb_indnb_mennb_men_pauvnb_men_1indnb_men_5indnb_men_propnb_men_monopnv_indsurf_lognb_men_hab_colnb_men_hab_indnb_log_av45nb_log_45_70nb_log_70_90nb_log_ap90nb_log_ncnb_log_socnb_ind_0_3nb_ind_4_5nb_ind_6_10nb_ind_11_17nb_ind_18_24nb_ind_25_39nb_ind_40_54nb_ind_55_64nb_ind_65_79nb_ind_80pnb_ind_nccdatemdategeom_err

Click a field to see example values.

Fill	Field	Type	Description
—	geo_point_2dGeo Point	geo_point_2d	Geographic centroid coordinates of the grid cell.Geographic centroid coordinates of the grid cell.
—	geo_shapeShape	geo_shape	Polygon geometry outlining the 200m grid cell.Polygon geometry outlining the 200m grid cell.
—	gid	text	Primary key identifier for the record.Clé primaire
—	ident	text	Unique identifier of the grid cell.Identifiant
—	insee	text	INSEE code(s) of the commune(s) covering the grid cell.Code INSEE de la ou des commune(s) dans laquelle (lesquelles) se trouve le carreau : Liste des valeurs possibles : 33003 : Ambarès-et-Lagrave 33004 : Ambès 33013 : Artigues-Près-Bordeaux 33032 : Bassens 33039 : Bègles 33056 : Blanquefort 33063 : Bordeaux 33065 : Bouliac 33069 : Le Bouscat 33075 : Bruges 33096 : Carbon-Blanc 33119 : Cenon 33162 : Eysines 33167 : Floirac 33192 : Gradignan 33200 : Le Haillan 33249 : Lormont 33273 : Martignas-sur-Jalle 33281 : Mérignac 33312 : Parempuyre 33318 : Pessac 33376 : Saint-Aubin-de-Médoc 33434 : Saint-Louis-de-Montferrand 33449 : Saint-Médard-en-Jalles 33487 : Saint-Vincent-de-Paul 33519 : Le Taillan-Médoc 33522 : Talence 33550 : Villenave-d'Ornon
—	val_approcheeVal approchee	text	Indicates whether the cell value is an estimated approximation.Carreau imputé par une valeur approchée
—	nb_indNb ind	double	Number of individuals in the grid cell.Nombre d'individus
—	nb_menNb men	double	Number of households in the grid cell.Nombre de ménages
—	nb_men_pauvNb men pauv	double	Number of poor households in the grid cell.Nombre de ménages pauvres
—	nb_men_1indNb men 1ind	double	Number of single-person households.Nombre de ménages d'un seul individu
100%	nb_men_5indNb men 5ind	double	Number of households with 5 or more individuals.Nombre de ménages de 5 individus ou plus
100%	nb_men_propNb men prop	double	Number of owner-occupier households.Nombre de ménages propriétaires
100%	nb_men_monopNb men monop	double	Number of single-parent households.Nombre de ménages monoparentaux
100%	nv_indNv ind	double	Sum of individuals' winsorized standard of living.Somme des niveaux de vie winsorisés des individus
100%	surf_logSurf log	double	Total dwelling floor area in the grid cell.Somme de la surface des logements du carreau
100%	nb_men_hab_colNb men hab col	double	Number of households living in collective housing.Nombre de ménages en logements collectifs
100%	nb_men_hab_indNb men hab ind	double	Number of households living in single-family houses.Nombre de ménages en maison
100%	nb_log_av45Nb log av45	double	Number of dwellings built before 1945.Nombre de logements construits avant 1945
100%	nb_log_45_70Nb log 45 70	double	Number of dwellings built between 1945 and 1969.Nombre de logements construits entre 1945 et 1969
100%	nb_log_70_90Nb log 70 90	double	Number of dwellings built between 1970 and 1989.Nombre de logements construits entre 1970 et 1989
100%	nb_log_ap90Nb log ap90	double	Number of dwellings built since 1990.Nombre de logements construits depuis 1990
100%	nb_log_ncNb log nc	double	Number of dwellings with unknown construction date.Nombre de logements dont la date de construction est inconnue
100%	nb_log_socNb log soc	double	Number of social housing units.Nombre de logements sociaux
100%	nb_ind_0_3Nb ind 0 3	double	Number of individuals aged 0 to 3.Nombre d'individus de 0 à 3 ans
100%	nb_ind_4_5Nb ind 4 5	double	Number of individuals aged 4 to 5.Nombre d'individus de 4 à 5 ans
100%	nb_ind_6_10Nb ind 6 10	double	Number of individuals aged 6 to 10.Nombre d'individus de 6 à 10 ans
100%	nb_ind_11_17Nb ind 11 17	double	Number of individuals aged 11 to 17.Nombre d'individus de 11 à 17 ans
100%	nb_ind_18_24Nb ind 18 24	double	Number of individuals aged 18 to 24.Nombre d'individus de 18 à 24 ans
100%	nb_ind_25_39Nb ind 25 39	double	Number of individuals aged 25 to 39.Nombre d'individus de 25 à 39 ans
100%	nb_ind_40_54Nb ind 40 54	double	Number of individuals aged 40 to 54.Nombre d'individus de 40 à 54 ans
100%	nb_ind_55_64Nb ind 55 64	double	Number of individuals aged 55 to 64.Nombre d'individus de 55 à 64 ans
100%	nb_ind_65_79Nb ind 65 79	double	Number of individuals aged 65 to 79.Nombre d'individus de 65 à 79 ans
100%	nb_ind_80pNb ind 80p	double	Number of individuals aged 80 or above.Nombre d'individus de 80 ans ou plus
100%	nb_ind_ncNb ind nc	double	Number of individuals with unknown age.Nombre d'individus dont l'âge est inconnu
100%	cdate	datetime	Date the record was created.Date de création
100%	mdate	datetime	Date the record was last modified.Date de modification
0%	geom_errGeom err	text	Error code indicating a geometry anomaly, if any.Code d'erreur géométrique : Liste des valeurs possibles : 9999 : Polygone compose et / ou à sections multiples 9998 : Linéaire compose et / ou à sections multiples 9996 : La géométrie contient des informations LRS 9995 : Nombre de dimensions différent de 2 ou 3 9994 : Présence d'un arc de cercle 9000 : Erreur autre 13343 : Polygone de moins de 4 points 13349 : Polygone papillon 13350 : Deux éléments d'un polygone archipel se touchent 13351 : Deux éléments d'un polygone archipel se touchent 13356 : Point double 13366 : Combinaison invalide d'intérieur / extérieur d'un polygone 13367 : Orientation invalide d'intérieur / extérieur d'un polygone

Schema captured from opendatasoft 3 days ago.

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Sample data (5 records)

Record 1gid: 657901 · cdate: 2026-04-24T07:43:06+00:00

{
  "gid": "657901",
  "cdate": "2026-04-24T07:43:06+00:00",
  "ident": "CRS3035RES200mN2472200E3488800",
  "insee": [
    "33063",
    "33167"
  ],
  "mdate": "2026-04-24T07:43:06+00:00",
  "nb_ind": 111,
  "nb_men": 49,
  "nv_ind": 2761056.6,
  "geom_err": null,
  "surf_log": 4427,
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            -0.5445319,
            44.8313587
          ],
          [
            -0.5420265,
            44.8316126
          ],
          [
            -0.5423646,
            44.8333951
          ],
          [
            -0.54487,
            44.8331413
          ],
          [
            -0.5445319,
            44.8313587
          ]
        ]
      ]
    },
    "properties": {}
  },
  "nb_ind_nc": 0,
  "nb_log_nc": 0,
  "nb_ind_0_3": 8,
  "nb_ind_4_5": 2,
  "nb_ind_80p": 6,
  "nb_log_soc": 0,
  "nb_ind_6_10": 5,
  "nb_log_ap90": 12,
  "nb_log_av45": 28,
  "nb_men_1ind": 16,
  "nb_men_5ind": 2,
  "nb_men_pauv": 8,
  "nb_men_prop": 34,
  "geo_point_2d": {
    "lat": 44.832376922732266,
    "lon": -0.543448261282497
  },
  "nb_ind_11_17": 7.5,
  "nb_ind_18_24": 5.5,
  "nb_ind_25_39": 24,
  "nb_ind_40_54": 24,
  "nb_ind_55_64": 14,
  "nb_ind_65_79": 15,
  "nb_log_45_70": 6,
  "nb_log_70_90": 3,
  "nb_men_monop": 4,
  "val_approchee": "False",
  "nb_men_hab_col": 13,
  "nb_men_hab_ind": 36
}

Record 2gid: 643353 · cdate: 2026-04-24T07:43:04+00:00

{
  "gid": "643353",
  "cdate": "2026-04-24T07:43:04+00:00",
  "ident": "CRS3035RES200mN2467600E3475200",
  "insee": [
    "33122",
    "33318"
  ],
  "mdate": "2026-04-24T07:43:04+00:00",
  "nb_ind": 83,
  "nb_men": 32,
  "nv_ind": 2317363.8,
  "geom_err": null,
  "surf_log": 3488,
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            -0.7069578,
            44.7729705
          ],
          [
            -0.7044556,
            44.7732283
          ],
          [
            -0.7047983,
            44.7750103
          ],
          [
            -0.7073006,
            44.7747525
          ],
          [
            -0.7069578,
            44.7729705
          ]
        ]
      ]
    },
    "properties": {}
  },
  "nb_ind_nc": 0,
  "nb_log_nc": 0,
  "nb_ind_0_3": 4,
  "nb_ind_4_5": 3,
  "nb_ind_80p": 3,
  "nb_log_soc": 0,
  "nb_ind_6_10": 4,
  "nb_log_ap90": 3,
  "nb_log_av45": 3,
  "nb_men_1ind": 4,
  "nb_men_5ind": 0,
  "nb_men_pauv": 1,
  "nb_men_prop": 31,
  "geo_point_2d": {
    "lat": 44.77399040569754,
    "lon": -0.7058780773014408
  },
  "nb_ind_11_17": 5,
  "nb_ind_18_24": 4,
  "nb_ind_25_39": 11,
  "nb_ind_40_54": 19,
  "nb_ind_55_64": 9,
  "nb_ind_65_79": 21,
  "nb_log_45_70": 2,
  "nb_log_70_90": 24,
  "nb_men_monop": 2,
  "val_approchee": "False",
  "nb_men_hab_col": 1,
  "nb_men_hab_ind": 31
}

Record 3gid: 650472 · cdate: 2026-04-24T07:43:05+00:00

{
  "gid": "650472",
  "cdate": "2026-04-24T07:43:05+00:00",
  "ident": "CRS3035RES200mN2469800E3476400",
  "insee": [
    "33318"
  ],
  "mdate": "2026-04-24T07:43:05+00:00",
  "nb_ind": 85.5,
  "nb_men": 32,
  "nv_ind": 2715171.8,
  "geom_err": null,
  "surf_log": 3274,
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            -0.6957113,
            44.7941183
          ],
          [
            -0.6932081,
            44.7943757
          ],
          [
            -0.6935507,
            44.7961578
          ],
          [
            -0.6960539,
            44.7959003
          ],
          [
            -0.6957113,
            44.7941183
          ]
        ]
      ]
    },
    "properties": {}
  },
  "nb_ind_nc": 0,
  "nb_log_nc": 0,
  "nb_ind_0_3": 5,
  "nb_ind_4_5": 3,
  "nb_ind_80p": 5,
  "nb_log_soc": 0,
  "nb_ind_6_10": 3,
  "nb_log_ap90": 21,
  "nb_log_av45": 3,
  "nb_men_1ind": 6,
  "nb_men_5ind": 3,
  "nb_men_pauv": 8,
  "nb_men_prop": 27,
  "geo_point_2d": {
    "lat": 44.795138027299,
    "lon": -0.6946309887363613
  },
  "nb_ind_11_17": 8.5,
  "nb_ind_18_24": 3,
  "nb_ind_25_39": 13,
  "nb_ind_40_54": 21,
  "nb_ind_55_64": 14,
  "nb_ind_65_79": 10,
  "nb_log_45_70": 3,
  "nb_log_70_90": 5,
  "nb_men_monop": 2,
  "val_approchee": "False",
  "nb_men_hab_col": 0,
  "nb_men_hab_ind": 32
}

Record 4gid: 684917 · cdate: 2026-04-24T07:43:09+00:00

{
  "gid": "684917",
  "cdate": "2026-04-24T07:43:09+00:00",
  "ident": "CRS3035RES200mN2481600E3493000",
  "insee": [
    "33003"
  ],
  "mdate": "2026-04-24T07:43:09+00:00",
  "nb_ind": 58,
  "nb_men": 17,
  "nv_ind": 1419564.8,
  "geom_err": null,
  "surf_log": 1769,
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            -0.5077625,
            44.9204619
          ],
          [
            -0.5052531,
            44.9207149
          ],
          [
            -0.5055908,
            44.9224975
          ],
          [
            -0.5081004,
            44.9222444
          ],
          [
            -0.5077625,
            44.9204619
          ]
        ]
      ]
    },
    "properties": {}
  },
  "nb_ind_nc": 0,
  "nb_log_nc": 0,
  "nb_ind_0_3": 1,
  "nb_ind_4_5": 1,
  "nb_ind_80p": 1,
  "nb_log_soc": 4,
  "nb_ind_6_10": 10,
  "nb_log_ap90": 12,
  "nb_log_av45": 0,
  "nb_men_1ind": 2,
  "nb_men_5ind": 5,
  "nb_men_pauv": 1,
  "nb_men_prop": 12,
  "geo_point_2d": {
    "lat": 44.921479688644105,
    "lon": -0.5066766932198143
  },
  "nb_ind_11_17": 11,
  "nb_ind_18_24": 3,
  "nb_ind_25_39": 5,
  "nb_ind_40_54": 19,
  "nb_ind_55_64": 1,
  "nb_ind_65_79": 6,
  "nb_log_45_70": 0,
  "nb_log_70_90": 5,
  "nb_men_monop": 1,
  "val_approchee": "False",
  "nb_men_hab_col": 0,
  "nb_men_hab_ind": 17
}

Record 5gid: 686801 · cdate: 2026-04-24T07:43:09+00:00

{
  "gid": "686801",
  "cdate": "2026-04-24T07:43:09+00:00",
  "ident": "CRS3035RES200mN2482200E3479400",
  "insee": [
    "33519"
  ],
  "mdate": "2026-04-24T07:43:09+00:00",
  "nb_ind": 82,
  "nb_men": 31,
  "nv_ind": 2607875,
  "geom_err": null,
  "surf_log": 3242,
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            -0.6793865,
            44.9084597
          ],
          [
            -0.6768782,
            44.9087169
          ],
          [
            -0.6772214,
            44.9104988
          ],
          [
            -0.6797297,
            44.9102417
          ],
          [
            -0.6793865,
            44.9084597
          ]
        ]
      ]
    },
    "properties": {}
  },
  "nb_ind_nc": 0,
  "nb_log_nc": 0,
  "nb_ind_0_3": 6,
  "nb_ind_4_5": 4,
  "nb_ind_80p": 8,
  "nb_log_soc": 0,
  "nb_ind_6_10": 11,
  "nb_log_ap90": 19,
  "nb_log_av45": 0,
  "nb_men_1ind": 5,
  "nb_men_5ind": 1,
  "nb_men_pauv": 1,
  "nb_men_prop": 28,
  "geo_point_2d": {
    "lat": 44.90947927270258,
    "lon": -0.6783039612876489
  },
  "nb_ind_11_17": 3,
  "nb_ind_18_24": 1,
  "nb_ind_25_39": 23,
  "nb_ind_40_54": 11,
  "nb_ind_55_64": 6,
  "nb_ind_65_79": 9,
  "nb_log_45_70": 2,
  "nb_log_70_90": 10,
  "nb_men_monop": 0,
  "val_approchee": "False",
  "nb_men_hab_col": 0,
  "nb_men_hab_ind": 31
}

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/se_filosofi_200_s

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/se_filosofi_200_s/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

50 000 req/day

per ipmeasured

observed 3 days ago

Dataset

Volume & freshness

Records

6.8k

6769

Last upstream update

29 days ago

2026-09-25

License

No license declared upstream.

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Source: opendatasoft

Machine-readable & source

JSON

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