Register record·API·FR·Updated IrregularVERIFIED · checked 31h ago
S
Environmental multi-exposure scores (indicators reported by commune)Scores de multiexposition environnementale (indicateurs rapportés aux communes)
Scores de multiexposition environnementale (indicateurs rapportés aux communes)Environmental multi-exposure scores (indicators reported by commune)
This dataset, published via the Île-de-France regional open-data portal, provides indicators of cumulative environmental exposure aggregated at the commune level across the Île-de-France region. It reflects the fact that environmental exposures are not evenly distributed across the territory and do not affect all population groups uniformly. The data allow identification of geographic areas where multiple exposures overlap, supporting spatial analysis of environmental inequalities and cumulative risk at the municipal scale within the region.Les expositions environnementales ne sont pas uniformément réparties sur le territoire francilien et ne touchent pas de manière homogène toutes les catégories de population. Cette couche de données permet de révéler les situations de cumuls d’expositions d’un point de vue géographique, résultat d...
environment
Trust score
How is this computed?45
fair
Weighted across five axes. Tap a ring for what it measures.
Data schema (40 fields)
Filterable via the API (38)
objectid_1objectidinseenomcompop_2016nb_maillep_mailles_habcl1env_pccl1env_popcl2env_pccl2env_popcl3env_pccl3env_popcl4env_pccl4env_popcl5env_pccl5env_popcl6env_pccl6env_popcl1envuln_pccl1envuln_popcl2envuln_pccl2envuln_popcl3envuln_pccl3envuln_popcl4envuln_pccl4envuln_popcl5envuln_pccl5envuln_popcl6envuln_pccl6envuln_popqppop_65_med_inseeqppop_05_med_inseeqtx_patho_med_insees_sens_med_inseesvul_med_inseest_length_shapest_area_shape
Click a field to see example values.
| Fill | Field | Type | Description |
|---|---|---|---|
| 100% | objectid_1Objectid 1 | text | Internal record identifier.Internal record identifier. |
| 100% | objectid | text | Internal record identifier.Internal record identifier. |
| 100% | insee | text | INSEE code identifying the commune.Code INSEE |
| 100% | nomcomCommune | text | Name of the commune.Nom de la commune |
| 99.9% | pop_2016Pop 2016 | text | Municipal population in 2016 (INSEE).Population municipale 2016 (INSEE) |
| 99.9% | nb_mailleNb mailles | text | Total number of grid cells within the commune's territory.Total du nombre de mailles appartenant au territoire |
| 99.9% | p_mailles_habPart mailles hab | double | Percentage of grid cells that are inhabited.Part de mailles habitées (en %) |
| 99.9% | cl1env_pcCl1env pc | double | Share of territory with environmental score Class 1 (score_env < 8.2), in %.Part de mailles appartenant à la Classe 1 score_env / part du territoire concerné score_env < 8,2 (en %) |
| 99.9% | cl1env_popCl1env pop | double | Share of population in environmental score Class 1 (score_env < 8.2), in %.Part de mailles appartenant à la Classe 1 score_env / part de population concernée score_env < 8,2 (en %) |
| 99.9% | cl2env_pcCl2env pc | double | Share of territory with environmental score Class 2 (8.2 ≤ score_env < 19.4), in %.Part de mailles appartenant à la Classe 2 score_env / part du territoire concerné score_env >= 8,2 et < 19,4 (en %) |
| 99.9% | cl2env_popCl2env pop | double | Share of population in environmental score Class 2 (8.2 ≤ score_env < 19.4), in %.Part de mailles appartenant à la Classe 2 score_env / part de population concernée score_env >= 8,2 et < 19,4 (en %) |
| 99.9% | cl3env_pcCl3env pc | double | Share of territory with environmental score Class 3 (19.4 ≤ score_env < 30.4), in %.Part de mailles appartenant à la Classe 3 score_env / part du territoire concerné score_env >= 19,4 et < 30,4 (en %) |
| 99.9% | cl3env_popCl3env pop | double | Share of population in environmental score Class 3 (19.4 ≤ score_env < 30.4), in %.Part de mailles appartenant à la Classe 3 score_env / part de population concernée score_env >= 19,4 et < 30,4 (en %) |
| 99.9% | cl4env_pcCl4env pc | double | Share of territory with environmental score Class 4 (30.4 ≤ score_env < 38.0), in %.Part de mailles appartenant à la Classe 4 score_env / part du territoire concerné score_env >= 30,4 et < 38,0 (en %) |
| 99.9% | cl4env_popCl4env pop | double | Share of population in environmental score Class 4 (30.4 ≤ score_env < 38.0), in %.Part de mailles appartenant à la Classe 4 score_env / part de population concernée score_env >= 30,4 et < 38,0 (en %) |
| 99.9% | cl5env_pcCl5env pc | double | Share of territory with environmental score Class 5 (38.0 ≤ score_env < 52.8), in %.Part de mailles appartenant à la Classe 5 score_env / part du territoire concerné score_env >= 38,0 et < 52,8 (en %) |
| 99.9% | cl5env_popCl5env pop | double | Share of population in environmental score Class 5 (38.0 ≤ score_env < 52.8), in %.Part de mailles appartenant à la Classe 5 score_env / part de population concernée score_env >= 38,0 et < 52,8 (en %) |
| 99.9% | cl6env_pcCl6env pc | double | Share of territory with environmental score Class 6 (score_env ≥ 52.8), in %.Part de mailles appartenant à la Classe 6 score_env / part du territoire concerné score_env >= 52,8 (en %) |
| 99.9% | cl6env_popCl6env pop | double | Share of population in environmental score Class 6 (score_env ≥ 52.8), in %.Part de mailles appartenant à la Classe 6 score_env / part de population concernée score_env >= 52,8 (en %) |
| 99.9% | cl1envuln_pcCl1envuln pc | double | Share of territory with environmental-vulnerability score Class 1, in %.Part de mailles appartenant à la Classe 1 score_env vulnerabilité / part du territoire concerné |
| 99.9% | cl1envuln_popCl1envuln pop | double | Share of population in environmental-vulnerability score Class 1, in %.Part de mailles appartenant à la Classe 1 score_env vulnerabilité / part de population concernée |
| 99.9% | cl2envuln_pcCl2envuln pc | double | Share of territory with environmental-vulnerability score Class 2, in %.Part de mailles appartenant à la Classe 2 score_env vulnerabilité / part du territoire concerné |
| 99.9% | cl2envuln_popCl2envuln pop | double | Share of population in environmental-vulnerability score Class 2, in %.Part de mailles appartenant à la Classe 2 score_env vulnerabilité / part de population concernée |
| 99.9% | cl3envuln_pcCl3envuln pc | double | Share of territory with environmental-vulnerability score Class 3, in %.Part de mailles appartenant à la Classe 3 score_env vulnerabilité / part du territoire concerné |
| 99.9% | cl3envuln_popCl3envuln pop | double | Share of population in environmental-vulnerability score Class 3, in %.Part de mailles appartenant à la Classe 3 score_env vulnerabilité / part de population concernée |
| 99.9% | cl4envuln_pcCl4envuln pc | double | Share of territory with environmental-vulnerability score Class 4, in %.Part de mailles appartenant à la Classe 4 score_env vulnerabilité / part du territoire concerné |
| 99.9% | cl4envuln_popCl4envuln pop | double | Share of population in environmental-vulnerability score Class 4, in %.Part de mailles appartenant à la Classe 4 score_env vulnerabilité / part de population concernée |
| 99.9% | cl5envuln_pcCl5envuln pc | double | Share of territory with environmental-vulnerability score Class 5, in %.Part de mailles appartenant à la Classe 5 score_env~vulnerabilité / part du territoire concerné |
| 99.9% | cl5envuln_popCl5envuln pop | double | Share of population in environmental-vulnerability score Class 5, in %.Part de mailles appartenant à la Classe 5 score_env vulnerabilité / part de population concernée |
| 99.9% | cl6envuln_pcCl6envuln pc | double | Share of territory with environmental-vulnerability score Class 6, in %.Part de mailles appartenant à la Classe 6 score_env vulnerabilité / part du territoire concerné |
| — | cl6envuln_popCl6envuln pop | double | Share of population in environmental-vulnerability score Class 6, in %.Part de mailles appartenant à la Classe 6 score_env vulnerabilité / part de population concernée |
| — | qppop_65_med_inseeQppop 65 med insee | double | Median value of the elderly population indicator (qppop_65) across inhabited grid cells.Valeur médiane (qppop_05) des mailles habitées de la commune (pop2016>0) |
| — | qppop_05_med_inseeQppop 05 med insee | text | Median value of the young population indicator (qppop_05) across inhabited grid cells.Valeur médiane (qppop_65) des mailles habitées de la commune (pop2016>0) |
| — | qtx_patho_med_inseeQtx patho med insee | double | Median value of the pathology rate indicator across inhabited grid cells.Valeur médiane (qtx_patho) des mailles habitées de la commune (pop2016>0) |
| — | s_sens_med_inseeS sens med insee | double | Median value of the sensitivity score (S_sens) across inhabited grid cells.Valeur médiane (S_sens) des mailles habitées de la commune (pop2016>0) |
| — | svul_med_inseeSvul med insee | double | Median value of the vulnerability score (Svul) across inhabited grid cells.Valeur médiane (Svul) des mailles habitées de la commune (pop2016>0) |
| — | geo_shapeShape | geo_shape | Geographic boundary of the commune as a polygon.Geographic boundary of the commune as a polygon. |
| — | geo_point_2dGeo Point | geo_point_2d | Geographic coordinates (latitude, longitude) of the commune's center.Geographic coordinates (latitude, longitude) of the commune's center. |
| — | st_length_shapeSt length shape | text | Perimeter length of the commune's geometry.Perimeter length of the commune's geometry. |
| — | st_area_shapeSt area shape | text | Surface area of the commune's geometry.Surface area of the commune's geometry. |
Schema captured from opendatasoft 2 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.
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Sample data (5 records)
Record 1insee: 77504 · nomcom: Villemaréchal
{
"insee": "77504",
"nomcom": "Villemaréchal",
"objectid": "279",
"pop_2016": "1095.41666667",
"cl1env_pc": 100,
"cl2env_pc": 0,
"cl3env_pc": 0,
"cl4env_pc": 0,
"cl5env_pc": 0,
"cl6env_pc": 0,
"geo_shape": "[large value omitted]",
"nb_maille": "72",
"cl1env_pop": 100,
"cl2env_pop": 0,
"cl3env_pop": 0,
"cl4env_pop": 0,
"cl5env_pop": 0,
"cl6env_pop": 0,
"objectid_1": "305",
"cl1envuln_pc": 100,
"cl2envuln_pc": 0,
"cl3envuln_pc": 0,
"cl4envuln_pc": 0,
"cl5envuln_pc": 0,
"cl6envuln_pc": 0,
"geo_point_2d": {
"lat": 48.272016415838976,
"lon": 2.8758691288568365
},
"cl1envuln_pop": 100,
"cl2envuln_pop": 0,
"cl3envuln_pop": 0,
"cl4envuln_pop": 0,
"cl5envuln_pop": 0,
"cl6envuln_pop": 0,
"p_mailles_hab": 36.11111111,
"st_area_shape": "17483019.9",
"svul_med_insee": 63.715,
"st_length_shape": "22594.21452211261",
"s_sens_med_insee": 38.487972510000006,
"qppop_05_med_insee": "67",
"qppop_65_med_insee": 50,
"qtx_patho_med_insee": 20
}Record 2insee: 78048 · nomcom: Bazainville
{
"insee": "78048",
"nomcom": "Bazainville",
"objectid": "853",
"pop_2016": "1430.30826607",
"cl1env_pc": 89.79591837000001,
"cl2env_pc": 10.204081630000001,
"cl3env_pc": 0,
"cl4env_pc": 0,
"cl5env_pc": 0,
"cl6env_pc": 0,
"geo_shape": "[large value omitted]",
"nb_maille": "49",
"cl1env_pop": 94.37247352,
"cl2env_pop": 5.62752648,
"cl3env_pop": 0,
"cl4env_pop": 0,
"cl5env_pop": 0,
"cl6env_pop": 0,
"objectid_1": "913",
"cl1envuln_pc": 100,
"cl2envuln_pc": 0,
"cl3envuln_pc": 0,
"cl4envuln_pc": 0,
"cl5envuln_pc": 0,
"cl6envuln_pc": 0,
"geo_point_2d": {
"lat": 48.806956372786665,
"lon": 1.6670025888956437
},
"cl1envuln_pop": 100,
"cl2envuln_pop": 0,
"cl3envuln_pop": 0,
"cl4envuln_pop": 0,
"cl5envuln_pop": 0,
"cl6envuln_pop": 0,
"p_mailles_hab": 53.06122449,
"st_area_shape": "12043540.535",
"svul_med_insee": 15.975,
"st_length_shape": "18620.094982338094",
"s_sens_med_insee": 49.48453608,
"qppop_05_med_insee": "52",
"qppop_65_med_insee": 43,
"qtx_patho_med_insee": 37
}Record 3insee: 75107 · nomcom: Paris 7e Arrondissement
{
"insee": "75107",
"nomcom": "Paris 7e Arrondissement",
"objectid": "1283",
"pop_2016": "57278.405137530004",
"cl1env_pc": 0,
"cl2env_pc": 0,
"cl3env_pc": 61.11111111,
"cl4env_pc": 33.33333333,
"cl5env_pc": 5.55555556,
"cl6env_pc": 0,
"geo_shape": "[large value omitted]",
"nb_maille": "18",
"cl1env_pop": 0,
"cl2env_pop": 0,
"cl3env_pop": 66.90722372,
"cl4env_pop": 25.114876,
"cl5env_pop": 7.97790027,
"cl6env_pop": 0,
"objectid_1": "1132",
"cl1envuln_pc": 0,
"cl2envuln_pc": 66.66666667,
"cl3envuln_pc": 33.33333333,
"cl4envuln_pc": 0,
"cl5envuln_pc": 0,
"cl6envuln_pc": 0,
"geo_point_2d": {
"lat": 48.8561701145162,
"lon": 2.312151832521777
},
"cl1envuln_pop": 0,
"cl2envuln_pop": 77.90281832,
"cl3envuln_pop": 22.097181680000002,
"cl4envuln_pop": 0,
"cl5envuln_pop": 0,
"cl6envuln_pop": 0,
"p_mailles_hab": 100,
"st_area_shape": "4087890.501246505",
"svul_med_insee": 0.6,
"st_length_shape": "8113.486635661233",
"s_sens_med_insee": 39.51890034,
"qppop_05_med_insee": "7",
"qppop_65_med_insee": 90.5,
"qtx_patho_med_insee": 16
}Record 4insee: 94075 · nomcom: Villecresnes
{
"insee": "94075",
"nomcom": "Villecresnes",
"objectid": "1257",
"pop_2016": "9237.94737627",
"cl1env_pc": 27.27272727,
"cl2env_pc": 54.54545455,
"cl3env_pc": 18.18181818,
"cl4env_pc": 0,
"cl5env_pc": 0,
"cl6env_pc": 0,
"geo_shape": "[large value omitted]",
"nb_maille": "22",
"cl1env_pop": 18.39794317,
"cl2env_pop": 76.53746481,
"cl3env_pop": 5.06459201,
"cl4env_pop": 0,
"cl5env_pop": 0,
"cl6env_pop": 0,
"objectid_1": "345",
"cl1envuln_pc": 13.63636364,
"cl2envuln_pc": 77.27272727,
"cl3envuln_pc": 9.09090909,
"cl4envuln_pc": 0,
"cl5envuln_pc": 0,
"cl6envuln_pc": 0,
"geo_point_2d": {
"lat": 48.720847748159194,
"lon": 2.5313468683716214
},
"cl1envuln_pop": 5.44514525,
"cl2envuln_pop": 89.49026222,
"cl3envuln_pop": 5.06459254,
"cl4envuln_pop": 0,
"cl5envuln_pop": 0,
"cl6envuln_pop": 0,
"p_mailles_hab": 90.90909091,
"st_area_shape": "5622639.262522685",
"svul_med_insee": 49.225,
"st_length_shape": "13109.133773740505",
"s_sens_med_insee": 56.357388320000005,
"qppop_05_med_insee": "71",
"qppop_65_med_insee": 61,
"qtx_patho_med_insee": 60
}Record 5insee: 95500 · nomcom: Pontoise
{
"insee": "95500",
"nomcom": "Pontoise",
"objectid": "1",
"pop_2016": "28250.01828786",
"cl1env_pc": 11.53846154,
"cl2env_pc": 65.38461538,
"cl3env_pc": 23.076923079999997,
"cl4env_pc": 0,
"cl5env_pc": 0,
"cl6env_pc": 0,
"geo_shape": "[large value omitted]",
"nb_maille": "26",
"cl1env_pop": 7.63480688,
"cl2env_pop": 77.07167222000001,
"cl3env_pop": 15.2935209,
"cl4env_pop": 0,
"cl5env_pop": 0,
"cl6env_pop": 0,
"objectid_1": "1",
"cl1envuln_pc": 11.53846154,
"cl2envuln_pc": 65.38461538,
"cl3envuln_pc": 23.076923079999997,
"cl4envuln_pc": 0,
"cl5envuln_pc": 0,
"cl6envuln_pc": 0,
"geo_point_2d": {
"lat": 49.051544418698434,
"lon": 2.0944984988132522
},
"cl1envuln_pop": 4.32762337,
"cl2envuln_pop": 70.12610004,
"cl3envuln_pop": 25.546276589999998,
"cl4envuln_pop": 0,
"cl5envuln_pop": 0,
"cl6envuln_pop": 0,
"p_mailles_hab": 100,
"st_area_shape": "7140686.805",
"svul_med_insee": 53.49,
"st_length_shape": "18059.174510925935",
"s_sens_med_insee": 37.11340206,
"qppop_05_med_insee": "65",
"qppop_65_med_insee": 42,
"qtx_patho_med_insee": 69
}Live sample captured at profiling time — values may have changed upstream.
Verification Status
Using the API
Configuration
- Base URL
- https://data.iledefrance.fr/api/explore/v2.1/catalog/datasets/scores-multiexposition-environnementale-communes
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.iledefrance.fr/api/explore/v2.1/catalog/datasets/scores-multiexposition-environnementale-communes/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 req/day
per ipmeasured
observed 2 days ago
Dataset
Volume & freshness
Records
1.3k
1287
Update cadence
Irregular
declared upstream
Last upstream update
9 months ago
2026-01-30
License
No license declared upstream.
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