Register record·API·FR·MUNICIPALITYVERIFIED · checked 28h ago
R
Revenus déclarés, pauvreté et niveau de vie en 2014 (IRIS)
Données nationales restreintes au territoire de la métropole d'Aix Marseille Provence. (Jeu filtré sur le code commune insee) ---- Les bases téléchargeables contiennent des indicateurs détaillés sur les revenus déclarés (avant redistribution). Niveau géographique : IRIS. Les résultats sur les rev...
Trust score
How is this computed?54
fair
Weighted across five axes. Tap a ring for what it measures.
Data schema (36 fields)
Filterable via the API (34)
irislibiriscomlibcomdec_pimp14dec_tp6014dec_q114dec_med14dec_q314dec_eq14dec_d114dec_d214dec_d314dec_d414dec_d614dec_d714dec_d814dec_d914dec_rd14dec_s80s2014dec_gi14dec_ptsa14dec_pcho14dec_pben14dec_ppen14dec_paut14nom_deptcode_region_2016num_deptregionpop_menages_en_2014_princpop_decilecode_regcode_dep
Click a field to see example values.
| Fill | Field | Type | Description |
|---|---|---|---|
| 100% | iris | text | — |
| 100% | libirisLibellé de l'IRIS | text | — |
| 100% | comCode INSEE de la commune | text | — |
| 100% | libcomLibellé de la commune | text | — |
| 92% | dec_pimp14Part des ménages fiscaux imposés (%) | double | — |
| 85.9% | dec_tp6014Taux de bas revenus déclarés au seuil de 60 % (%) | double | Taux de bas revenus déclarés au seuil de 60 % du revenu déclaré par unité de consommation médian métropolitain (%) |
| 100% | dec_q1141er quartile(€) | double | 1er quartile du revenu déclaré par unité de consommation (en euros) |
| 100% | dec_med14Mediane(€) | double | Médiane du revenu déclaré par unité de consommation (en euros) |
| 100% | dec_q3143e quartile(€) | double | 3e quartile du revenu déclaré par unité de consommation (en euros) |
| 100% | dec_eq14Écart interquartile rapporté à la médiane | double | Écart interquartile rapporté à la médiane du revenu déclaré par unité de consommation |
| 100% | dec_d1141er décile (€) | double | 1er décile du revenu déclaré par unité de consommation (en euros) |
| 100% | dec_d2142e décile (€) | double | 2e décile du revenu déclaré par unité de consommation (en euros) |
| 100% | dec_d3143e décile (€) | double | 3e décile du revenu déclaré par unité de consommation (en euros) |
| 100% | dec_d4144e décile (€) | double | 4e décile du revenu déclaré par unité de consommation (en euros) |
| 100% | dec_d6146e décile (€) | double | 6e décile du revenu déclaré par unité de consommation (en euros) |
| 100% | dec_d7147e décile (€) | double | 7e décile du revenu déclaré par unité de consommation (en euros) |
| 100% | dec_d8148e décile (€) | double | 8e décile du revenu déclaré par unité de consommation (en euros) |
| 100% | dec_d9149e décile (€) | double | 9e décile du revenu déclaré par unité de consommation (en euros) |
| 89% | dec_rd14Rapport interdécile D9/D1 | double | Rapport interdécile D9/D1 du revenu déclaré par unité de consommation |
| 99.2% | dec_s80s2014S80/S20 | double | S80/S20 du revenu déclaré par unité de consommation |
| — | dec_gi14Indice de Gini | double | Indice de Gini du revenu déclaré par unité de consommation |
| — | dec_ptsa14Part des revenus d'activités salariées (%) | double | — |
| — | dec_pcho14Part des indemnités de chômage (%) | double | — |
| — | dec_pben14Part des revenus d'activités non salariées (%) | double | — |
| — | dec_ppen14Part des pensions, retraites et rentes (%) | double | — |
| — | dec_paut14Part des autres revenus (%) | double | — |
| — | geo_shapeShape | geo_shape | — |
| — | geo_point_2dCoordinates | geo_point_2d | — |
| — | nom_deptNom du département | text | — |
| — | code_region_2016Code de la région | int | — |
| 100% | num_deptCode du département | text | — |
| 100% | region | text | — |
| 100% | pop_menages_en_2014_princPopulation des ménages | double | Population des ménages de l'iris (en 2014, extraite de la base logement publiée par l'INSEE) |
| 100% | pop_decilePopulation par décile | double | — |
| 100% | code_regCode reg | int | — |
| 100% | code_depCode dep | text | — |
Schema captured from opendatasoft 6 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 1com: 13204 · iris: 132040203
{
"com": "13204",
"iris": "132040203",
"libcom": "Marseille 4e Arrondissement",
"region": "PROVENCE ALPES COTE D AZUR",
"libiris": "Chartreux Arras",
"code_dep": "13",
"code_reg": 93,
"dec_d114": 3504,
"dec_d214": 8324,
"dec_d314": 12334,
"dec_d414": 15628,
"dec_d614": 20414,
"dec_d714": 24124,
"dec_d814": 28004,
"dec_d914": 36254,
"dec_eq14": 0.841294642857,
"dec_gi14": 0.3643450488,
"dec_q114": 10740,
"dec_q314": 25816,
"dec_rd14": 10.3464611872,
"nom_dept": "BOUCHES-DU-RHONE",
"num_dept": "13",
"dec_med14": 17920,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
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],
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],
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],
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],
[
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],
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],
[
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]
]
]
},
"properties": {}
},
"dec_paut14": 3.4,
"dec_pben14": 4.5,
"dec_pcho14": 3.9,
"dec_pimp14": 53.7353735374,
"dec_ppen14": 30.6,
"dec_ptsa14": 57.6,
"dec_tp6014": 29.3029871977,
"pop_decile": 216.394006402,
"dec_s80s2014": 11.2906180582,
"geo_point_2d": {
"lat": 43.3087785451,
"lon": 5.40006402917
},
"code_region_2016": 93,
"pop_menages_en_2014_princ": 2163.94006402
}Record 2com: 13213 · iris: 132131102
{
"com": "13213",
"iris": "132131102",
"libcom": "Marseille 13e Arrondissement",
"region": "PROVENCE ALPES COTE D AZUR",
"libiris": "Les Balustres",
"code_dep": "13",
"code_reg": 93,
"dec_d114": 0,
"dec_d214": 3268,
"dec_d314": 5882,
"dec_d414": 8088,
"dec_d614": 13264,
"dec_d714": 16204,
"dec_d814": 19466,
"dec_d914": 24320,
"dec_eq14": 1.1887755102,
"dec_gi14": 0.4375599317,
"dec_q114": 4726,
"dec_q314": 17308,
"dec_rd14": null,
"nom_dept": "BOUCHES-DU-RHONE",
"num_dept": "13",
"dec_med14": 10584,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
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]
]
},
"properties": {}
},
"dec_paut14": 1,
"dec_pben14": 1.1,
"dec_pcho14": 5.5,
"dec_pimp14": null,
"dec_ppen14": 33.3,
"dec_ptsa14": 59.1,
"dec_tp6014": null,
"pop_decile": 239.70333559300002,
"dec_s80s2014": 33.3309837734,
"geo_point_2d": {
"lat": 43.3387666724,
"lon": 5.42446583905
},
"code_region_2016": 93,
"pop_menages_en_2014_princ": 2397.03335593
}Record 3com: 13209 · iris: 132090408
{
"com": "13209",
"iris": "132090408",
"libcom": "Marseille 9e Arrondissement",
"region": "PROVENCE ALPES COTE D AZUR",
"libiris": "Lanciers-Cyclamens",
"code_dep": "13",
"code_reg": 93,
"dec_d114": 3522,
"dec_d214": 8290,
"dec_d314": 11704,
"dec_d414": 14316,
"dec_d614": 19496,
"dec_d714": 22090,
"dec_d814": 25720,
"dec_d914": 32682,
"dec_eq14": 0.81726618705,
"dec_gi14": 0.3707619606,
"dec_q114": 10142,
"dec_q314": 23774,
"dec_rd14": 9.2793867121,
"nom_dept": "BOUCHES-DU-RHONE",
"num_dept": "13",
"dec_med14": 16680,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
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},
"properties": {}
},
"dec_paut14": 2.4,
"dec_pben14": 1.5,
"dec_pcho14": 3.9,
"dec_pimp14": 49.4382022472,
"dec_ppen14": 35.3,
"dec_ptsa14": 56.9,
"dec_tp6014": 32.1666184553,
"pop_decile": 158.89120251,
"dec_s80s2014": 10.6058206598,
"geo_point_2d": {
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"code_region_2016": 93,
"pop_menages_en_2014_princ": 1588.9120251
}Record 4com: 84089 · iris: 840890201
{
"com": "84089",
"iris": "840890201",
"libcom": "Pertuis",
"region": "PROVENCE ALPES COTE D AZUR",
"libiris": "Tourrier",
"code_dep": "84",
"code_reg": 93,
"dec_d114": 7390,
"dec_d214": 12499,
"dec_d314": 15488,
"dec_d414": 18232,
"dec_d614": 23864,
"dec_d714": 26528,
"dec_d814": 30109,
"dec_d914": 37364,
"dec_eq14": 0.659304511278,
"dec_gi14": 0.3162256656,
"dec_q114": 14348,
"dec_q314": 28378,
"dec_rd14": 5.05602165088,
"nom_dept": "VAUCLUSE",
"num_dept": "84",
"dec_med14": 21280,
"geo_shape": "[large value omitted]",
"dec_paut14": 6.4,
"dec_pben14": 3.6,
"dec_pcho14": 3.4,
"dec_pimp14": 59.8525469169,
"dec_ppen14": 25.7,
"dec_ptsa14": 60.9,
"dec_tp6014": 18.8211103496,
"pop_decile": 329.023404761,
"dec_s80s2014": 6.24726660774,
"geo_point_2d": {
"lat": 43.7096798854,
"lon": 5.50492133666
},
"code_region_2016": 93,
"pop_menages_en_2014_princ": 3290.23404761
}Record 5com: 13117 · iris: 131170102
{
"com": "13117",
"iris": "131170102",
"libcom": "Vitrolles",
"region": "PROVENCE ALPES COTE D AZUR",
"libiris": "Les Pommiers-Bosquet",
"code_dep": "13",
"code_reg": 93,
"dec_d114": 3998,
"dec_d214": 7440,
"dec_d314": 9512,
"dec_d414": 11678,
"dec_d614": 16702,
"dec_d714": 19056,
"dec_d814": 22448,
"dec_d914": 27148,
"dec_eq14": 0.804448060754,
"dec_gi14": 0.3557202249,
"dec_q114": 8452,
"dec_q314": 20316,
"dec_rd14": 6.7903951976,
"nom_dept": "BOUCHES-DU-RHONE",
"num_dept": "13",
"dec_med14": 14748,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
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},
"properties": {}
},
"dec_paut14": 1.4,
"dec_pben14": 1.9,
"dec_pcho14": 4.7,
"dec_pimp14": 42.2600619195,
"dec_ppen14": 32.1,
"dec_ptsa14": 59.9,
"dec_tp6014": 41.9004006869,
"pop_decile": 172.832258634,
"dec_s80s2014": 8.6442365571,
"geo_point_2d": {
"lat": 43.4439399476,
"lon": 5.24911051305
},
"code_region_2016": 93,
"pop_menages_en_2014_princ": 1728.32258634
}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/fed-revenus-declares-pauvrete-et-niveau-de-vie-en-2014-iris
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.ampmetropole.fr/api/explore/v2.1/catalog/datasets/fed-revenus-declares-pauvrete-et-niveau-de-vie-en-2014-iris/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
10 000 000 req/day
per ipmeasured
observed 6 days ago
Dataset
Volume & freshness
Records
590
Last upstream update
6 years ago
2020-07-07
License
No license declared upstream.
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Source: opendatasoft
Machine-readable & source
Embed this badge in a README or wiki — it always shows the latest verification state and quality tier.