2020 Elections - Polling Station Boundaries - ToulouseElections 2020 - Découpage des bureaux de vote - Toulouse
Elections 2020 - Découpage des bureaux de vote - Toulouse2020 Elections - Polling Station Boundaries - Toulouse
This API provides the boundaries of each polling station in the city of Toulouse, as established by the prefectural order of 30 August 2019, which took effect on 1 January 2020. The data links each polling station's location and number. No changes to the electoral boundaries occurred in 2020. It is published by Toulouse Métropole and is useful for identifying voting districts and their associated polling stations within the city.Périmètre de chacun des bureaux de vote de la ville de Toulouse selon l’arrêté préfectoral du 30 août 2019 (entrée en vigueur fixée au 1er janvier 2020). Les données associent le lieu et le numéro de chaque bureau. Aucune modification du découpage électoral n’est intervenue en 2020
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (6 fields)
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| geo_pointGeo point | geo_point_2d | Geographic centroid coordinates of the polling station area.Geographic centroid coordinates of the polling station area. |
| geo_shapeShape | geo_shape | Polygon geometry defining the polling station's boundary.Polygon geometry defining the polling station's boundary. |
| bv2020 | text | Polling station number for the 2020 electoral division.Polling station number for the 2020 electoral division. |
| nom | text | Name of the polling station location, often a school.Name of the polling station location, often a school. |
| adresse | text | Street address of the polling station.Street address of the polling station. |
| uniq_bdvUniq bdv | text | Unique zero-padded identifier code for the polling station.Unique zero-padded identifier code for the polling station. |
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.
Sample data (5 records)
Record 1nom: ECOLE MOLIERE · bv2020: 115
{
"nom": "ECOLE MOLIERE",
"bv2020": "115",
"adresse": "36 RUE SAINTE LUCIE",
"uniq_bdv": "0115",
"geo_point": {
"lat": 43.5880505137,
"lon": 1.42840363478
},
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
1.430043210003288,
43.5846341404111
],
[
1.429200742714988,
43.58506766766466
],
[
1.428486311987321,
43.58533019314984
],
[
1.427791801124436,
43.58564950082138
],
[
1.423367846117085,
43.588427963776695
],
[
1.421875118465008,
43.589434855601986
],
[
1.422260836229468,
43.589491904267014
],
[
1.425125275351444,
43.58995306336575
],
[
1.42705923580193,
43.58954663930092
],
[
1.427426730969052,
43.589689622677234
],
[
1.427844032663226,
43.59066653618306
],
[
1.432024098997146,
43.5896119661794
],
[
1.433688840971023,
43.58910903413
],
[
1.430409432892982,
43.58508974683802
],
[
1.430043210003288,
43.5846341404111
]
]
]
},
"properties": {}
}
}Record 2nom: ECOLE CUVIER · bv2020: 198
{
"nom": "ECOLE CUVIER",
"bv2020": "198",
"adresse": "135 ROUTE D ALBI",
"uniq_bdv": "0198",
"geo_point": {
"lat": 43.6390419897,
"lon": 1.45959548731
},
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
1.455669795041289,
43.63493814976093
],
[
1.458271051218937,
43.63636428847803
],
[
1.457015661435746,
43.63722215187632
],
[
1.45471002354445,
43.63941816116849
],
[
1.455267002940354,
43.64014059639953
],
[
1.455651019281448,
43.6400999158265
],
[
1.455753506325098,
43.639775733741395
],
[
1.457058736785802,
43.63995773661854
],
[
1.45876615765735,
43.639636996694264
],
[
1.459631823263374,
43.63923875923885
],
[
1.459770085995294,
43.639493385962176
],
[
1.459290864948912,
43.639835012296295
],
[
1.458993373444593,
43.641285016017044
],
[
1.458601544069142,
43.641440932575655
],
[
1.458391752642002,
43.641975758659854
],
[
1.458866702357372,
43.642103379784324
],
[
1.458610240063048,
43.64285601170963
],
[
1.461709831364009,
43.64296458435564
],
[
1.462734284309093,
43.642934640721926
],
[
1.46364145719709,
43.64263887664022
],
[
1.463555657473964,
43.642091356572486
],
[
1.463277034278206,
43.641901873473245
],
[
1.463031045503427,
43.64117240390936
],
[
1.462526830012517,
43.64090503711934
],
[
1.461987123754951,
43.64072101194711
],
[
1.461387168198506,
43.637690279485675
],
[
1.461487443634974,
43.636625712582706
],
[
1.462171657814381,
43.636159826985406
],
[
1.463217683252833,
43.63598339898187
],
[
1.463796563030166,
43.6356852322961
],
[
1.460347671444617,
43.6355728242567
],
[
1.455669795041289,
43.63493814976093
]
]
]
},
"properties": {}
}
}Record 3nom: ECOLE FALGUIERE · bv2020: 167
{
"nom": "ECOLE FALGUIERE",
"bv2020": "167",
"adresse": "2 RUE D ARTAGNAN",
"uniq_bdv": "0167",
"geo_point": {
"lat": 43.6120957512,
"lon": 1.43202229454
},
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
1.430575873546248,
43.60908708695013
],
[
1.430388254477557,
43.6092179240475
],
[
1.427666544036867,
43.609119764826204
],
[
1.427583957520659,
43.60923899234762
],
[
1.426780335110819,
43.61034488681544
],
[
1.425824189535128,
43.611708730312856
],
[
1.425524122688077,
43.61215523561628
],
[
1.426338669499756,
43.612312681005164
],
[
1.429810908313755,
43.613143433792466
],
[
1.431254034633301,
43.61372455151499
],
[
1.433132824672004,
43.61469938385149
],
[
1.433746769834907,
43.615040850374804
],
[
1.434717772330823,
43.61546337989844
],
[
1.43725678345096,
43.61610462408067
],
[
1.437802706363351,
43.61433303429283
],
[
1.436701742836087,
43.614177372261985
],
[
1.436640555832932,
43.6138060251146
],
[
1.435331896246083,
43.61363868098665
],
[
1.43689251834971,
43.61100377103489
],
[
1.436009009443762,
43.61074984422397
],
[
1.434923091297308,
43.6104377322343
],
[
1.43315209341014,
43.6098842262444
],
[
1.432703785690292,
43.609737779128444
],
[
1.431417432648045,
43.60933921213476
],
[
1.430575873546248,
43.60908708695013
]
]
]
},
"properties": {}
}
}Record 4nom: ECOLE ERNEST RENAN · bv2020: 192A
{
"nom": "ECOLE ERNEST RENAN",
"bv2020": "192A",
"adresse": "7 CHEMIN D AUDIBERT",
"uniq_bdv": "192A",
"geo_point": {
"lat": 43.6364394053,
"lon": 1.44434747246
},
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
1.43921969414667,
43.64065563813768
],
[
1.439237439027383,
43.63766797533948
],
[
1.439098894081748,
43.63658636850892
],
[
1.441536457395157,
43.63660264732148
],
[
1.444121951997927,
43.636670517669735
],
[
1.444027252731314,
43.63612240601695
],
[
1.443928727577061,
43.63591631540681
],
[
1.443741633810406,
43.63448902666576
],
[
1.443787596312752,
43.633506359802105
],
[
1.443797765092489,
43.63295754457522
],
[
1.444059340962327,
43.632929955911415
],
[
1.444077525065734,
43.63192288048545
],
[
1.445642476033908,
43.632043360102486
],
[
1.447535491148946,
43.63198743608178
],
[
1.447694221675226,
43.631837839253016
],
[
1.447850631763614,
43.63585424630803
],
[
1.44796972442237,
43.63626433001695
],
[
1.447215984782448,
43.6363991506464
],
[
1.446456869014672,
43.63648405959858
],
[
1.446675811093148,
43.63776442294195
],
[
1.447939557866062,
43.639840864048274
],
[
1.444544149667784,
43.64003507471735
],
[
1.444224920541069,
43.64022532842963
],
[
1.444246432119233,
43.63958790692758
],
[
1.444167129740153,
43.63887862730395
],
[
1.444033647170042,
43.63830989784948
],
[
1.443933217843475,
43.63779441452181
],
[
1.442182195089737,
43.637980238816624
],
[
1.442167890058186,
43.638848672298174
],
[
1.43921969414667,
43.64065563813768
]
]
]
},
"properties": {}
}
}Record 5nom: ECOLE MAURICE JACQUIER · bv2020: 88
{
"nom": "ECOLE MAURICE JACQUIER",
"bv2020": "88",
"adresse": "7 RUE DU POITOU",
"uniq_bdv": "0088",
"geo_point": {
"lat": 43.5740070627,
"lon": 1.42090656338
},
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
1.417310736026857,
43.572727061472015
],
[
1.417626940320742,
43.572812894208
],
[
1.417821305104153,
43.57312101459385
],
[
1.417689001657929,
43.573432165596444
],
[
1.417711151225362,
43.57470016107462
],
[
1.418273243399578,
43.57546825147359
],
[
1.418198037972979,
43.575704172866686
],
[
1.417797703603163,
43.57643512029125
],
[
1.417741073865982,
43.57656333426508
],
[
1.42094729231452,
43.57556938907344
],
[
1.42100609425463,
43.57563798682647
],
[
1.423623841628041,
43.574825594226574
],
[
1.424043230135124,
43.57488668986135
],
[
1.424308964572899,
43.57214126825338
],
[
1.423782081264495,
43.57204713500543
],
[
1.423365191937361,
43.57182332512639
],
[
1.419769772596762,
43.57283973322107
],
[
1.419405969743975,
43.57365140013373
],
[
1.41841360698081,
43.57243041694773
],
[
1.417310736026857,
43.572727061472015
]
]
]
},
"properties": {}
}
}Live sample captured at profiling time — values may have changed upstream.
Verification Status
Using the API
Configuration
- Base URL
- https://data.toulouse-metropole.fr/api/explore/v2.1/catalog/datasets/elections-2020-decoupage-bureaux-de-vote-toulouse
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.toulouse-metropole.fr/api/explore/v2.1/catalog/datasets/elections-2020-decoupage-bureaux-de-vote-toulouse/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.