Communes bordering Issy and ParisCommunes limitrophes d'Issy avec Paris
Communes limitrophes d'Issy avec ParisCommunes bordering Issy and Paris
This dataset, published via the Issy-les-Moulineaux open data portal, lists communes bordering both Issy-les-Moulineaux and Paris. It references the regional definition of rural versus urban communes adopted in 2016, under which a commune is classified as rural if it has fewer than 10,000 inhabitants and lies outside the Grand Paris metropolitan area. The data is freely accessible without authentication and covers a national geographic scope within France.La définition régionale du caractère rural vs urbain des communes a été actée en 2016.Une commune est réputée rurale si elle possède moins de 10000 habitants et se trouve hors de la métropole du Grand Paris.
Trust score
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Data schema (10 fields)
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| geo_point_2dGeo Point | geo_point_2d | Geographic centroid coordinates of the commune.Geographic centroid coordinates of the commune. |
| geo_shapeShape | geo_shape | Geographic boundary polygon of the commune.Geographic boundary polygon of the commune. |
| objectid | int | Internal record identifier.Internal record identifier. |
| insee_comcode insee | text | INSEE code identifying the commune.INSEE code identifying the commune. |
| nom_comcommune | text | Name of the commune.Name of the commune. |
| superficie | double | Surface area of the commune.Surface area of the commune. |
| population | int | Number of inhabitants of the commune.Number of inhabitants of the commune. |
| code_deptDépartement | text | Code of the department containing the commune.Code of the department containing the commune. |
| nom_deptNom département | text | Name of the department containing the commune.Name of the department containing the commune. |
| rural_urbStatut rural / urbain | text | Rural or urban classification of the commune.Rural or urban classification of the commune. |
Schema captured from opendatasoft 3 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 1nom_com: MEUDON · nom_dept: HAUTS-DE-SEINE
{
"nom_com": "MEUDON",
"nom_dept": "HAUTS-DE-SEINE",
"objectid": 449,
"code_dept": "92",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
2.205507961211585,
48.80920006935265
],
[
2.209673793895793,
48.811064263832485
],
[
2.211845691283167,
48.811792727215035
],
[
2.220315694982201,
48.81554569598306
],
[
2.221813920922839,
48.82037172052897
],
[
2.225332104844639,
48.82302168995512
],
[
2.228970238951715,
48.822558632779774
],
[
2.230303451644483,
48.821652540683466
],
[
2.230783917666592,
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],
[
2.232065123170663,
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],
[
2.232638353852031,
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],
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2.233208040897511,
48.822436583618476
],
[
2.234867513914801,
48.821846420289766
],
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2.236107248947976,
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],
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2.236708403632949,
48.821328443957526
],
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2.241366556375685,
48.819735585534815
],
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2.251734248443239,
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],
[
2.25186510771938,
48.81638674089963
],
[
2.251866495298067,
48.816384950794735
],
[
2.252366741221443,
48.812460421372236
],
[
2.252117965090717,
48.8091068088587
],
[
2.245719612272377,
48.8047548773204
],
[
2.241067343106276,
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],
[
2.236783073769313,
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],
[
2.236455431156946,
48.78902922373003
],
[
2.236371943324689,
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],
[
2.235204613144752,
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],
[
2.230892533096026,
48.783471111813185
],
[
2.228181414253223,
48.7822699895866
],
[
2.226631884033616,
48.781582703988114
],
[
2.223319655228239,
48.78594320603285
],
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2.211508821625927,
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],
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2.21111264811737,
48.79075428638673
],
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2.206995273498819,
48.79493990563498
],
[
2.204538296935664,
48.796262807086755
],
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2.202687873984613,
48.79833172153586
],
[
2.20263917020708,
48.79840065146181
],
[
2.202810996450619,
48.79847105247485
],
[
2.204706822685247,
48.80208582612934
],
[
2.205496775640602,
48.80912984146098
],
[
2.205507961211585,
48.80920006935265
]
]
]
},
"properties": {}
},
"insee_com": "92048",
"rural_urb": "Urbain",
"population": 45107,
"superficie": 995,
"geo_point_2d": {
"lat": 48.8039815907,
"lon": 2.22696813508
}
}Record 2nom_com: VANVES · nom_dept: HAUTS-DE-SEINE
{
"nom_com": "VANVES",
"nom_dept": "HAUTS-DE-SEINE",
"objectid": 967,
"code_dept": "92",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
2.278183329673083,
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],
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2.278070533916349,
48.814821908521665
],
[
2.277188994353658,
48.81534362607171
],
[
2.276102189282978,
48.814953909862105
],
[
2.274475730250388,
48.814591489339364
],
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2.272560936455986,
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],
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2.272956270791875,
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],
[
2.278654142307891,
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],
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2.281050539292266,
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],
[
2.280431368929666,
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],
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2.280464040991547,
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],
[
2.281157108496905,
48.82623664105261
],
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2.283075277873994,
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],
[
2.284361238123423,
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],
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2.287721352251138,
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],
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2.289393777675146,
48.82835264517463
],
[
2.290235122003241,
48.82798889549852
],
[
2.29219592266187,
48.82714160819038
],
[
2.300177424536461,
48.82537542944362
],
[
2.301315418488474,
48.825125759912204
],
[
2.297992293526512,
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],
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2.29639518942036,
48.82110814588144
],
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2.2955546687333,
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],
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2.293350674601142,
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],
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2.292393712515616,
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],
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2.29201914697685,
48.81819168730367
],
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2.291686251023591,
48.818034121596085
],
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2.289029940981556,
48.816875233120406
],
[
2.288411001591768,
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],
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2.286476274722989,
48.81598671345225
],
[
2.286148081044437,
48.81588582149207
],
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2.284831061091469,
48.81549481055545
],
[
2.282340558531802,
48.81497442963407
],
[
2.278183329673083,
48.81424877726386
]
]
]
},
"properties": {}
},
"insee_com": "92075",
"rural_urb": "Urbain",
"population": 27367,
"superficie": 156,
"geo_point_2d": {
"lat": 48.8215811422,
"lon": 2.28726066648
}
}Record 3nom_com: BOULOGNE-BILLANCOURT · nom_dept: HAUTS-DE-SEINE
{
"nom_com": "BOULOGNE-BILLANCOURT",
"nom_dept": "HAUTS-DE-SEINE",
"objectid": 1141,
"code_dept": "92",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
2.22421910588067,
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],
[
2.225668341007336,
48.85302445738073
],
[
2.239977725861005,
48.84970220894527
],
[
2.250612441716115,
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],
[
2.25121894249766,
48.842891112460045
],
[
2.251299357647817,
48.84213074645603
],
[
2.251709308946896,
48.83882181530519
],
[
2.255144238418033,
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],
[
2.255303904911429,
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],
[
2.261405151319222,
48.83408030513041
],
[
2.262791524527123,
48.83392337259456
],
[
2.260994955090206,
48.83207125624817
],
[
2.251693954410379,
48.82575101671824
],
[
2.250500485007302,
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],
[
2.24867363218224,
48.8244594465281
],
[
2.239576305687686,
48.82183148791662
],
[
2.237377728845347,
48.821475717794755
],
[
2.236591791955893,
48.821478797264234
],
[
2.236107248947976,
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],
[
2.234867513914801,
48.821846420289766
],
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2.233208040897511,
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],
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2.232638353852031,
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2.231488644262171,
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2.230146439046942,
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2.228866410874133,
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2.228321058661885,
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2.227295409594022,
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2.226985215377445,
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2.226702066287106,
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2.226285717875277,
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2.225990717169591,
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2.225421593195189,
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2.224049690235739,
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2.223294899809045,
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2.223117153647738,
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2.22297468030587,
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2.222970975472752,
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2.223039904221339,
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2.223412218553391,
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2.224778389573937,
48.85165075645821
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2.22421910588067,
48.85351691662763
]
]
]
},
"properties": {}
},
"insee_com": "92012",
"rural_urb": "Urbain",
"population": 117126,
"superficie": 615,
"geo_point_2d": {
"lat": 48.8365394859,
"lon": 2.2389245247
}
}Record 4nom_com: PARIS-15E · nom_dept: PARIS
{
"nom_com": "PARIS-15E",
"nom_dept": "PARIS",
"objectid": 278,
"code_dept": "75",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
2.289778276596081,
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],
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2.290051338080696,
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2.29359354098521,
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],
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2.297886852334433,
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],
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2.302191520379376,
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],
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2.310558509616316,
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],
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2.316425112756367,
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],
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2.316628160287873,
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],
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2.317582460771195,
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2.32405075786708,
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2.320648993715232,
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2.315748295772972,
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2.30697041235072,
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2.300177424536461,
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2.289393777675146,
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2.283585827211809,
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2.279051930653547,
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2.272793190187369,
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[
2.267543811050174,
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[
2.267527789619851,
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2.26725407892358,
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2.267211912244825,
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2.269435166169334,
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2.263173549338125,
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],
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2.262791524527123,
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2.264938054390813,
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2.267316733678676,
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2.272484695381574,
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[
2.282498103370988,
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2.28943786266584,
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[
2.289778276596081,
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]
]
]
},
"properties": {}
},
"insee_com": "75115",
"rural_urb": "Urbain",
"population": 238190,
"superficie": 846,
"geo_point_2d": {
"lat": 48.8400408101,
"lon": 2.29268840406
}
}Record 5nom_com: CLAMART · nom_dept: HAUTS-DE-SEINE
{
"nom_com": "CLAMART",
"nom_dept": "HAUTS-DE-SEINE",
"objectid": 594,
"code_dept": "92",
"geo_shape": "[large value omitted]",
"insee_com": "92023",
"rural_urb": "Urbain",
"population": 52408,
"superficie": 876,
"geo_point_2d": {
"lat": 48.7968127036,
"lon": 2.25409308474
}
}Live sample captured at profiling time — values may have changed upstream.
Verification Status
Using the API
Configuration
- Base URL
- https://data.issy.com/api/explore/v2.1/catalog/datasets/villes-limitrophes
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.issy.com/api/explore/v2.1/catalog/datasets/villes-limitrophes/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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