1km Gridded Data - Population and HousingDonnées carroyées à 1km - Population et logement
Données carroyées à 1km - Population et logement1km Gridded Data - Population and Housing
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...
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Data schema (44 fields)
Click a field to see example values.
| Fill | Field | Type | Description |
|---|---|---|---|
| — | geo_point_2dPoint géographique | geo_point_2d | — |
| — | geo_shapeForme géographique | geo_shape | — |
| — | idcar_1kmIdcar 1km | text | — |
| — | i_est_1kmI est 1km | int | 1 si le carreau de 1km de rattachement est imputé par une valeur approchée, 0 sinon |
| — | pop_carrPopulation du carreau | double | — |
| — | men_1indNombre de ménages d’un seul individu | double | — |
| — | men_5indNombre de ménages de 5 individus ou plus | double | — |
| — | men_propNombre de ménages propriétaires | double | — |
| — | men_fmpNombre de ménages monoparentaux | double | — |
| — | ind_snvSomme des niveaux de vie winsorisés des individus | double | — |
| 100% | men_surfSomme de la surface des logements du carreau | double | — |
| 100% | men_collNombre de ménages en logements collectifs | double | — |
| 100% | men_maisNombre de ménages en maison | double | — |
| 100% | log_av45Nombre de logements construits avant 1945 | double | — |
| 100% | log_45_70Nombre de logements construits entre 1945 et 1970 | double | — |
| 100% | log_70_90Nombre de logements construits entre 1970 et 1990 | double | — |
| 100% | log_ap_90Nombre de logements construits depuis 1990 | double | — |
| 100% | log_incNombre de logements dont la date de construction est inconnue | double | — |
| 100% | log_socNombre de logements sociaux | double | — |
| 100% | ind_0_3Nombre d’individus de 0 à 3 ans | double | — |
| 100% | ind_4_5Nombre d’individus de 4 à 5 ans | double | — |
| 100% | ind_6_10Nombre d’individus de 6 à 10 ans | double | — |
| 100% | ind_11_17Nombre d’individus de 11 à 17 ans | double | — |
| 100% | ind_18_24Nombre d’individus de 18 à 24 ans | double | — |
| 100% | ind_25_39Nombre d’individus de 25 à 39 ans | double | — |
| 100% | ind_40_54Nombre d’individus de 40 à 54 ans | double | — |
| 100% | ind_55_64Nombre d’individus de 55 à 64 ans | double | — |
| 100% | ind_65_79Nombre d’individus de 65 à 79 ans | double | — |
| 100% | ind_80pNombre d’individus de 80 ans ou plus | double | — |
| 100% | ind_incNombre d’individus d’âge inconnu | double | — |
| 100% | men_pauvNombre de ménages pauvres | double | — |
| 100% | menNombre de ménages | double | — |
| 100% | lcog_geoLcog geo | text | — |
| 100% | yearAnnée | text | — |
| 100% | com_arm_codeCode Officiel Commune / Arrondissement Municipal | text | — |
| 100% | com_arm_nameNom Officiel Commune / Arrondissement Municipal | text | — |
| 100% | com_codeCode Officiel Commune | text | — |
| 100% | com_nameNom Officiel Commune | text | — |
| 100% | epci_nameNom Officiel EPCI | text | — |
| 100% | epci_codeCode Officiel EPCI | text | — |
| 100% | dep_nameNom Officiel Département | text | — |
| 100% | dep_codeCode Officiel Département | text | — |
| 100% | reg_nameNom Officiel Région | text | — |
| 100% | reg_codeCode Officiel Région | 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.
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.
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License
No license declared upstream.
Source: opendatasoft
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