Données carroyées à 200m - Population et logement
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. Les fichiers, publiés par l'INSEE en 2019, se basent sur les...
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (48 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_200mIdcar 200m | text | — |
| — | i_est_200I est 200 | int | — |
| — | 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 |
| — | idcar_natIdcar nat | text | — |
| — | groupeNuméro de groupe | int | — |
| — | pop_carrPopulation du carreau | double | — |
| — | men_1indNombre de ménages d’un seul individu | double | — |
| 100% | men_5indNombre de ménages de 5 individus ou plus | double | — |
| 100% | men_propNombre de ménages propriétaires | double | — |
| 100% | men_fmpNombre de ménages monoparentaux | double | — |
| 100% | 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_codeCom arm code | text | — |
| 100% | com_codeCode Officiel Commune | text | — |
| 100% | com_arm_nameNom Officiel Commune / Arrondissement Municipal | 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 2 hours 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: 135 · year: 2017
{
"men": 135,
"year": "2017",
"groupe": 422320,
"ind_0_3": 18,
"ind_4_5": 1,
"ind_80p": 24,
"ind_inc": 2,
"ind_snv": 6634746.7,
"log_inc": 0,
"log_soc": 0,
"men_fmp": 13,
"com_code": [
"13055"
],
"com_name": [
"Marseille"
],
"dep_code": [
"13"
],
"dep_name": [
"Bouches-du-Rhône"
],
"ind_6_10": 18,
"lcog_geo": "13209",
"log_av45": 1,
"men_1ind": 58,
"men_5ind": 12,
"men_coll": 124,
"men_mais": 11,
"men_pauv": 32,
"men_prop": 93,
"men_surf": 9850,
"pop_carr": 294,
"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": [
[
[
5.422567757714438,
43.26478637559101
],
[
5.422427198915437,
43.26658772669778
],
[
5.424880503536455,
43.266697618051396
],
[
5.425020987492351,
43.26489626303507
],
[
5.422567757714438,
43.26478637559101
]
]
]
},
"properties": {}
},
"i_est_1km": 0,
"i_est_200": 0,
"idcar_1km": "CRS3035RES1000mN2251000E3948000",
"idcar_nat": "CRS3035RES1000mN2251000E3948000",
"ind_11_17": 22,
"ind_18_24": 24,
"ind_25_39": 46,
"ind_40_54": 45,
"ind_55_64": 40,
"ind_65_79": 54,
"log_45_70": 8,
"log_70_90": 17,
"log_ap_90": 109,
"idcar_200m": "CRS3035RES200mN2251000E3948600",
"com_arm_code": [
"13209"
],
"com_arm_name": [
"Marseille 9e Arrondissement"
],
"geo_point_2d": {
"lat": 43.26574200042885,
"lon": 5.423724111620222
}
}Record 2men: 2.9 · year: 2017
{
"men": 2.9,
"year": "2017",
"groupe": 447319,
"ind_0_3": 0.2,
"ind_4_5": 0.3,
"ind_80p": 0,
"ind_inc": 0,
"ind_snv": 198827.6,
"log_inc": 0,
"log_soc": 0,
"men_fmp": 0.4,
"com_code": [
"13063"
],
"com_name": [
"Miramas"
],
"dep_code": [
"13"
],
"dep_name": [
"Bouches-du-Rhône"
],
"ind_6_10": 0.6,
"lcog_geo": "13063",
"log_av45": 0.7,
"men_1ind": 0.5,
"men_5ind": 0.3,
"men_coll": 0.4,
"men_mais": 2.5,
"men_pauv": 0.2,
"men_prop": 2.5,
"men_surf": 342.9,
"pop_carr": 8,
"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": [
[
[
5.01082704265362,
43.5600832698998
],
[
5.010672556741279,
43.561883462426515
],
[
5.01313760479626,
43.56200332946073
],
[
5.013292014970575,
43.56020313263634
],
[
5.01082704265362,
43.5600832698998
]
]
]
},
"properties": {}
},
"i_est_1km": 0,
"i_est_200": 1,
"idcar_1km": "CRS3035RES1000mN2285000E3917000",
"idcar_nat": "CRS3035RES2000mN2284000E3916000",
"ind_11_17": 0.8,
"ind_18_24": 0.5,
"ind_25_39": 1.3,
"ind_40_54": 2.4,
"ind_55_64": 1.1,
"ind_65_79": 0.8,
"log_45_70": 0.7,
"log_70_90": 0.7,
"log_ap_90": 0.8,
"idcar_200m": "CRS3035RES200mN2285800E3917200",
"com_arm_code": [
"13063"
],
"com_arm_name": [
"Miramas"
],
"geo_point_2d": {
"lat": 43.56104330322173,
"lon": 5.011982304464566
}
}Record 3men: 10.3 · year: 2017
{
"men": 10.3,
"year": "2017",
"groupe": 447492,
"ind_0_3": 0.9,
"ind_4_5": 0.3,
"ind_80p": 2,
"ind_inc": 0,
"ind_snv": 733106.2,
"log_inc": 0,
"log_soc": 0,
"men_fmp": 1.4,
"com_code": [
"13001"
],
"com_name": [
"Aix-en-Provence"
],
"dep_code": [
"13"
],
"dep_name": [
"Bouches-du-Rhône"
],
"ind_6_10": 1.4,
"lcog_geo": "13001",
"log_av45": 3.4,
"men_1ind": 2.9,
"men_5ind": 0.6,
"men_coll": 2.9,
"men_mais": 7.4,
"men_pauv": 0.9,
"men_prop": 6.3,
"men_surf": 1064.8,
"pop_carr": 25,
"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": [
[
[
5.385604562237308,
43.57762345601492
],
[
5.385461601372235,
43.57942427769365
],
[
5.387927979857676,
43.57953515038823
],
[
5.388070864816439,
43.577734324731175
],
[
5.385604562237308,
43.57762345601492
]
]
]
},
"properties": {}
},
"i_est_1km": 0,
"i_est_200": 1,
"idcar_1km": "CRS3035RES1000mN2285000E3947000",
"idcar_nat": "CRS3035RES1000mN2285000E3947000",
"ind_11_17": 3,
"ind_18_24": 1.4,
"ind_25_39": 6,
"ind_40_54": 6.6,
"ind_55_64": 2,
"ind_65_79": 1.4,
"log_45_70": 1.4,
"log_70_90": 2.3,
"log_ap_90": 3.2,
"idcar_200m": "CRS3035RES200mN2285800E3947600",
"com_arm_code": [
"13001"
],
"com_arm_name": [
"Aix-en-Provence"
],
"geo_point_2d": {
"lat": 43.57857930683126,
"lon": 5.386766251768514
}
}Record 4men: 0.8 · year: 2017
{
"men": 0.8,
"year": "2017",
"groupe": 450953,
"ind_0_3": 0,
"ind_4_5": 0.1,
"ind_80p": 0,
"ind_inc": 0,
"ind_snv": 36484.8,
"log_inc": 0,
"log_soc": 0,
"men_fmp": 0.2,
"com_code": [
"13051"
],
"com_name": [
"Lançon-Provence"
],
"dep_code": [
"13"
],
"dep_name": [
"Bouches-du-Rhône"
],
"ind_6_10": 0.1,
"lcog_geo": "13051",
"log_av45": 0.1,
"men_1ind": 0.1,
"men_5ind": 0,
"men_coll": 0.1,
"men_mais": 0.7,
"men_pauv": 0.3,
"men_prop": 0.4,
"men_surf": 66.9,
"pop_carr": 2,
"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": [
[
[
5.12256341290222,
43.58533984243497
],
[
5.122412275340808,
43.58714019827138
],
[
5.12487857089454,
43.5872573903973
],
[
5.125029632597607,
43.585457030355826
],
[
5.12256341290222,
43.58533984243497
]
]
]
},
"properties": {}
},
"i_est_1km": 0,
"i_est_200": 1,
"idcar_1km": "CRS3035RES1000mN2288000E3926000",
"idcar_nat": "CRS3035RES1000mN2288000E3926000",
"ind_11_17": 0.4,
"ind_18_24": 0.1,
"ind_25_39": 0.4,
"ind_40_54": 0.5,
"ind_55_64": 0.2,
"ind_65_79": 0.2,
"log_45_70": 0.1,
"log_70_90": 0.1,
"log_ap_90": 0.5,
"idcar_200m": "CRS3035RES200mN2288000E3926400",
"com_arm_code": [
"13051"
],
"com_arm_name": [
"Lançon-Provence"
],
"geo_point_2d": {
"lat": 43.586298619985854,
"lon": 5.123720972614513
}
}Record 5men: 0.4 · year: 2017
{
"men": 0.4,
"year": "2017",
"groupe": 452866,
"ind_0_3": 0,
"ind_4_5": 0,
"ind_80p": 0.1,
"ind_inc": 0,
"ind_snv": 31330,
"log_inc": 0,
"log_soc": 0,
"men_fmp": 0,
"com_code": [
"13074"
],
"com_name": [
"Peyrolles-en-Provence"
],
"dep_code": [
"13"
],
"dep_name": [
"Bouches-du-Rhône"
],
"ind_6_10": 0,
"lcog_geo": "13074",
"log_av45": 0,
"men_1ind": 0.1,
"men_5ind": 0,
"men_coll": 0.1,
"men_mais": 0.3,
"men_pauv": 0,
"men_prop": 0.4,
"men_surf": 53.5,
"pop_carr": 1,
"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": [
[
[
5.567027737183942,
43.63260235561965
],
[
5.566890177845957,
43.63440339538342
],
[
5.569359152914845,
43.63450992672732
],
[
5.56949663610643,
43.632708883134676
],
[
5.567027737183942,
43.63260235561965
]
]
]
},
"properties": {}
},
"i_est_1km": 0,
"i_est_200": 1,
"idcar_1km": "CRS3035RES1000mN2291000E3962000",
"idcar_nat": "CRS3035RES4000mN2288000E3960000",
"ind_11_17": 0.1,
"ind_18_24": 0.1,
"ind_25_39": 0.1,
"ind_40_54": 0.2,
"ind_55_64": 0.2,
"ind_65_79": 0.2,
"log_45_70": 0,
"log_70_90": 0.2,
"log_ap_90": 0.2,
"idcar_200m": "CRS3035RES200mN2291000E3962600",
"com_arm_code": [
"13074"
],
"com_arm_name": [
"Peyrolles-en-Provence"
],
"geo_point_2d": {
"lat": 43.633556144850395,
"lon": 5.568193425721014
}
}Live sample captured at profiling time — values may have changed upstream.
Using the API
Configuration
- Base URL
- https://data.ampmetropole.fr/api/explore/v2.1/catalog/datasets/donnees-carroyees-a-200m-france
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.ampmetropole.fr/api/explore/v2.1/catalog/datasets/donnees-carroyees-a-200m-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.
Rate limits
Dataset
Volume & freshness
License
No license declared upstream.
Source: opendatasoft
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