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 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: 0.4 · year: 2017
{
"men": 0.4,
"year": "2017",
"groupe": 456925,
"ind_0_3": 0,
"ind_4_5": 0,
"ind_80p": 0.1,
"ind_inc": 0,
"ind_snv": 32268.8,
"log_inc": 0,
"log_soc": 0,
"men_fmp": 0,
"com_code": [
"13082"
],
"com_name": [
"Rognes"
],
"dep_code": [
"13"
],
"dep_name": [
"Bouches-du-Rhône"
],
"ind_6_10": 0,
"lcog_geo": "13082",
"log_av45": 0,
"men_1ind": 0.1,
"men_5ind": 0,
"men_coll": 0,
"men_mais": 0.4,
"men_pauv": 0,
"men_prop": 0.3,
"men_surf": 58.9,
"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": [
[
[
5.310156430706486,
43.65372357355827
],
[
5.310010818044151,
43.655524155645494
],
[
5.312480303823193,
43.655636863752974
],
[
5.312625840335962,
43.65383627761337
],
[
5.310156430706486,
43.65372357355827
]
]
]
},
"properties": {}
},
"i_est_1km": 0,
"i_est_200": 1,
"idcar_1km": "CRS3035RES1000mN2294000E3942000",
"idcar_nat": "CRS3035RES1000mN2294000E3942000",
"ind_11_17": 0.1,
"ind_18_24": 0.1,
"ind_25_39": 0.2,
"ind_40_54": 0.1,
"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": "CRS3035RES200mN2294600E3942000",
"com_arm_code": [
"13082"
],
"com_arm_name": [
"Rognes"
],
"geo_point_2d": {
"lat": 43.65468022227535,
"lon": 5.3113183479188235
}
}Record 2men: 2.4 · year: 2017
{
"men": 2.4,
"year": "2017",
"groupe": 428598,
"ind_0_3": 0.2,
"ind_4_5": 0.2,
"ind_80p": 0.3,
"ind_inc": 0,
"ind_snv": 214408.1,
"log_inc": 0.1,
"log_soc": 0,
"men_fmp": 0.1,
"com_code": [
"13007"
],
"com_name": [
"Auriol"
],
"dep_code": [
"13"
],
"dep_name": [
"Bouches-du-Rhône"
],
"ind_6_10": 0.3,
"lcog_geo": "13007",
"log_av45": 0,
"men_1ind": 0.1,
"men_5ind": 0.2,
"men_coll": 0,
"men_mais": 2.4,
"men_pauv": 0.1,
"men_prop": 2.1,
"men_surf": 315.3,
"pop_carr": 7,
"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": [
[
[
5.6689039416124,
43.36227602753206
],
[
5.668770573229455,
43.36407763018588
],
[
5.671228305337436,
43.36418163748032
],
[
5.671361598480185,
43.362380031115684
],
[
5.6689039416124,
43.36227602753206
]
]
]
},
"properties": {}
},
"i_est_1km": 0,
"i_est_200": 1,
"idcar_1km": "CRS3035RES1000mN2260000E3969000",
"idcar_nat": "CRS3035RES1000mN2260000E3969000",
"ind_11_17": 0.6,
"ind_18_24": 0.6,
"ind_25_39": 0.6,
"ind_40_54": 1.3,
"ind_55_64": 1,
"ind_65_79": 1.9,
"log_45_70": 0,
"log_70_90": 1.7,
"log_ap_90": 0.6,
"idcar_200m": "CRS3035RES200mN2260600E3969200",
"com_arm_code": [
"13007"
],
"com_arm_name": [
"Auriol"
],
"geo_point_2d": {
"lat": 43.3632288361796,
"lon": 5.670066104384239
}
}Record 3men: 102 · year: 2017
{
"men": 102,
"year": "2017",
"groupe": 422199,
"ind_0_3": 10,
"ind_4_5": 6,
"ind_80p": 21,
"ind_inc": 0,
"ind_snv": 7439161.6,
"log_inc": 0,
"log_soc": 0,
"men_fmp": 11,
"com_code": [
"13055"
],
"com_name": [
"Marseille"
],
"dep_code": [
"13"
],
"dep_name": [
"Bouches-du-Rhône"
],
"ind_6_10": 13,
"lcog_geo": "13209",
"log_av45": 6,
"men_1ind": 29,
"men_5ind": 4,
"men_coll": 63,
"men_mais": 39,
"men_pauv": 8,
"men_prop": 83,
"men_surf": 9140,
"pop_carr": 241,
"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": [
[
[
5.405536450608747,
43.26221418948714
],
[
5.405395379488007,
43.26401551613639
],
[
5.407848551680855,
43.26412581541476
],
[
5.40798954797182,
43.26232448484176
],
[
5.405536450608747,
43.26221418948714
]
]
]
},
"properties": {}
},
"i_est_1km": 0,
"i_est_200": 0,
"idcar_1km": "CRS3035RES1000mN2250000E3947000",
"idcar_nat": "CRS3035RES1000mN2250000E3947000",
"ind_11_17": 21,
"ind_18_24": 16,
"ind_25_39": 30,
"ind_40_54": 46,
"ind_55_64": 36,
"ind_65_79": 42,
"log_45_70": 85,
"log_70_90": 1,
"log_ap_90": 10,
"idcar_200m": "CRS3035RES200mN2250800E3947200",
"com_arm_code": [
"13209"
],
"com_arm_name": [
"Marseille 9e Arrondissement"
],
"geo_point_2d": {
"lat": 43.26317000605446,
"lon": 5.40669248214189
}
}Record 4men: 18 · year: 2017
{
"men": 18,
"year": "2017",
"groupe": 439461,
"ind_0_3": 2.5,
"ind_4_5": 0,
"ind_80p": 6,
"ind_inc": 0,
"ind_snv": 1141275.1,
"log_inc": 0,
"log_soc": 0,
"men_fmp": 2,
"com_code": [
"13039"
],
"com_name": [
"Fos-sur-Mer"
],
"dep_code": [
"13"
],
"dep_name": [
"Bouches-du-Rhône"
],
"ind_6_10": 5,
"lcog_geo": "13039",
"log_av45": 4,
"men_1ind": 6,
"men_5ind": 1,
"men_coll": 9,
"men_mais": 9,
"men_pauv": 0,
"men_prop": 10,
"men_surf": 1584,
"pop_carr": 40.5,
"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": [
[
[
4.938727367181324,
43.44988644648875
],
[
4.93857114196008,
43.451686671342195
],
[
4.94103143194438,
43.45180823303407
],
[
4.941187581828547,
43.45000800383557
],
[
4.938727367181324,
43.44988644648875
]
]
]
},
"properties": {}
},
"i_est_1km": 0,
"i_est_200": 0,
"idcar_1km": "CRS3035RES1000mN2274000E3910000",
"idcar_nat": "CRS3035RES1000mN2274000E3910000",
"ind_11_17": 2,
"ind_18_24": 5,
"ind_25_39": 8,
"ind_40_54": 10,
"ind_55_64": 0,
"ind_65_79": 2,
"log_45_70": 2,
"log_70_90": 1,
"log_ap_90": 11,
"idcar_200m": "CRS3035RES200mN2274000E3910600",
"com_arm_code": [
"13039"
],
"com_arm_name": [
"Fos-sur-Mer"
],
"geo_point_2d": {
"lat": 43.45084734327574,
"lon": 4.939879380400352
}
}Record 5men: 16 · year: 2017
{
"men": 16,
"year": "2017",
"groupe": 436988,
"ind_0_3": 1,
"ind_4_5": 1,
"ind_80p": 2,
"ind_inc": 0,
"ind_snv": 977662.1,
"log_inc": 0,
"log_soc": 0,
"men_fmp": 1,
"com_code": [
"13110"
],
"com_name": [
"Trets"
],
"dep_code": [
"13"
],
"dep_name": [
"Bouches-du-Rhône"
],
"ind_6_10": 0,
"lcog_geo": "13110",
"log_av45": 0,
"men_1ind": 4,
"men_5ind": 0,
"men_coll": 2,
"men_mais": 14,
"men_pauv": 0,
"men_prop": 15,
"men_surf": 1641,
"pop_carr": 36,
"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": [
[
[
5.692158694105484,
43.448194453773866
],
[
5.692025716512275,
43.44999596462813
],
[
5.694487085827535,
43.45009943786571
],
[
5.694619987879794,
43.448297923310925
],
[
5.692158694105484,
43.448194453773866
]
]
]
},
"properties": {}
},
"i_est_1km": 0,
"i_est_200": 0,
"idcar_1km": "CRS3035RES1000mN2270000E3971000",
"idcar_nat": "CRS3035RES1000mN2270000E3971000",
"ind_11_17": 4,
"ind_18_24": 1,
"ind_25_39": 8,
"ind_40_54": 9,
"ind_55_64": 5,
"ind_65_79": 5,
"log_45_70": 2,
"log_70_90": 11,
"log_ap_90": 3,
"idcar_200m": "CRS3035RES200mN2270000E3971600",
"com_arm_code": [
"13110"
],
"com_arm_name": [
"Trets"
],
"geo_point_2d": {
"lat": 43.44914694950705,
"lon": 5.693322870800667
}
}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-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
Machine-readable & source
Embed this badge in a README or wiki — it always shows the latest verification state and quality tier.