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Élections municipales 2020 - France - Candidatures au 1er tour

APIQuery nowOpen workbench🇫🇷France

Ce jeu de données détaille les candidatures aux élections municipales françaises 2020. Il est construit à partir des fichiers publiés par le Ministère de l’Intérieur et retravaillés par Christian Quest. Les informations présentes contiennent les candidats et candidates, leurs listes d’appartenanc...

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Data schema (28 fields)

Filterable via the API (26)
code_du_departementlibelle_du_departementcode_communelibelle_communendeg_panneau_listelibelle_abrege_listelibelle_etendu_listenuance_listenum_candidatsexe_candidatnom_candidatprenom_candidatnationalitecandidat_au_conseil_communautairelibellecode_epcilibepcicode_regionregionpopulation_municipalemotscom_codeepci_codeepci_namereg_codereg_name

Click a field to see example values.

FieldTypeDescription
code_du_departementFilterable via the APICode du départementtext
libelle_du_departementFilterable via the APILibellé du départementtext
code_communeFilterable via the APICommune codetext
libelle_communeFilterable via the APILibellé communetext
ndeg_panneau_listeFilterable via the APIN° Panneau Listeint
libelle_abrege_listeFilterable via the APILibellé abrégé listetext
libelle_etendu_listeFilterable via the APILibellé Etendu Listetext
nuance_listeFilterable via the APINuance listetext
num_candidatFilterable via the APIN° candidatint
sexe_candidatFilterable via the APISexe candidattext
nom_candidatFilterable via the APINom candidattext
prenom_candidatFilterable via the APIPrénom candidattext
nationaliteFilterable via the APINationalitétext
candidat_au_conseil_communautaireFilterable via the APICandidat au conseil communautairetext
libelleFilterable via the APINuance politiquetext
code_epciFilterable via the APICode epcitext
libepciFilterable via the APIEPCItext
code_regionFilterable via the APICode Régiontext
regionFilterable via the APIRégiontext
population_municipaleFilterable via the APIPopulation municipaleint
geomForme géographiquegeo_shape
motsFilterable via the APINoms de liste pour analysetext
geo_point_2dGeo Pointgeo_point_2d
com_codeFilterable via the APICom codetext
epci_codeFilterable via the APICode Officiel EPCItext
epci_nameFilterable via the APINom Officiel EPCItext
reg_codeFilterable via the APICode Officiel Régiontext
reg_nameFilterable via the APINom Officiel Régiontext

Schema captured from opendatasoft 2 hours 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 1geom: — · mots: ["PARIS","AIME"]
{
  "geom": null,
  "mots": [
    "PARIS",
    "AIME"
  ],
  "region": "Île-de-France",
  "libelle": "Liste Divers",
  "libepci": "Métropole du Grand Paris",
  "com_code": "75056",
  "reg_code": "11",
  "reg_name": "Île-de-France",
  "code_epci": "200054781",
  "epci_code": "200054781",
  "epci_name": "Métropole du Grand Paris",
  "code_region": "11",
  "nationalite": "Française",
  "code_commune": "75056SR18",
  "geo_point_2d": null,
  "nom_candidat": "LIMOGE",
  "nuance_liste": "LDIV",
  "num_candidat": 38,
  "sexe_candidat": "F",
  "libelle_commune": "Paris 18eme secteur",
  "prenom_candidat": "Anne",
  "ndeg_panneau_liste": 10,
  "code_du_departement": "75",
  "libelle_abrege_liste": "PARIS JE T'AIME",
  "libelle_etendu_liste": "PARIS JE T'AIME",
  "population_municipale": null,
  "libelle_du_departement": "Paris",
  "candidat_au_conseil_communautaire": "N"
}
Record 2geom: {"type":"Feature","geometry":{"type":"Po · mots: ["AMFREVILLE","CITOYENNE","&","POPULAIRE
{
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            1.1416908823,
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            1.1443673745,
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            1.1314971435,
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      ]
    },
    "properties": {}
  },
  "mots": [
    "AMFREVILLE",
    "CITOYENNE",
    "&",
    "POPULAIRE"
  ],
  "region": "NORMANDIE",
  "libelle": null,
  "libepci": "Métropole Rouen Normandie",
  "com_code": "76005",
  "reg_code": "28",
  "reg_name": "Normandie",
  "code_epci": "200023414",
  "epci_code": "200023414",
  "epci_name": "Métropole Rouen Normandie",
  "code_region": "28",
  "nationalite": "Française",
  "code_commune": "76005",
  "geo_point_2d": {
    "lat": 49.4044644509,
    "lon": 1.12474160242
  },
  "nom_candidat": "GROULT",
  "nuance_liste": null,
  "num_candidat": 25,
  "sexe_candidat": "F",
  "libelle_commune": "Amfreville-la-Mi-Voie",
  "prenom_candidat": "Joëlle",
  "ndeg_panneau_liste": 3,
  "code_du_departement": "76",
  "libelle_abrege_liste": "CITOYENNE & POPULAIRE",
  "libelle_etendu_liste": "AMFREVILLE CITOYENNE & POPULAIRE",
  "population_municipale": 3222,
  "libelle_du_departement": "Seine-Maritime",
  "candidat_au_conseil_communautaire": "N"
}
Record 3geom: {"type":"Feature","geometry":{"type":"Po · mots: ["BIEN","VIVRE","ETAINHUS"]
{
  "geom": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
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        ]
      ]
    },
    "properties": {}
  },
  "mots": [
    "BIEN",
    "VIVRE",
    "ETAINHUS"
  ],
  "region": "NORMANDIE",
  "libelle": null,
  "libepci": "CU du Havre Seine Métropole",
  "com_code": "76250",
  "reg_code": "28",
  "reg_name": "Normandie",
  "code_epci": "200084952",
  "epci_code": "200084952",
  "epci_name": "CU du Havre Seine Métropole",
  "code_region": "28",
  "nationalite": "Française",
  "code_commune": "76250",
  "geo_point_2d": {
    "lat": 49.5671144916,
    "lon": 0.308314557273
  },
  "nom_candidat": "RECHER",
  "nuance_liste": null,
  "num_candidat": 15,
  "sexe_candidat": "M",
  "libelle_commune": "Etainhus",
  "prenom_candidat": "Christophe",
  "ndeg_panneau_liste": 1,
  "code_du_departement": "76",
  "libelle_abrege_liste": "BIEN VIVRE A ETAINHUS",
  "libelle_etendu_liste": "BIEN VIVRE A ETAINHUS",
  "population_municipale": 1122,
  "libelle_du_departement": "Seine-Maritime",
  "candidat_au_conseil_communautaire": "N"
}
Record 4geom: {"type":"Feature","geometry":{"type":"Po · mots: ["FRESNES","PLUS","JUSTE","PLUS","PROCHE
{
  "geom": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
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        ]
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    },
    "properties": {}
  },
  "mots": [
    "FRESNES",
    "PLUS",
    "JUSTE",
    "PLUS",
    "PROCHE",
    "PLUS",
    "VERTE"
  ],
  "region": "ILE-DE-FRANCE",
  "libelle": "Liste Divers gauche",
  "libepci": "Métropole du Grand Paris",
  "com_code": "94034",
  "reg_code": "11",
  "reg_name": "Île-de-France",
  "code_epci": "200054781",
  "epci_code": "200054781",
  "epci_name": "Métropole du Grand Paris",
  "code_region": "11",
  "nationalite": "Française",
  "code_commune": "94034",
  "geo_point_2d": {
    "lat": 48.7570985757,
    "lon": 2.3260519345
  },
  "nom_candidat": "VELA-RODRIGUEZ",
  "nuance_liste": "LDVG",
  "num_candidat": 13,
  "sexe_candidat": "F",
  "libelle_commune": "Fresnes",
  "prenom_candidat": "Véronique",
  "ndeg_panneau_liste": 3,
  "code_du_departement": "94",
  "libelle_abrege_liste": "FRESNES PLUS JUSTE",
  "libelle_etendu_liste": "Fresnes plus juste plus proche plus verte",
  "population_municipale": 27416,
  "libelle_du_departement": "Val-de-Marne",
  "candidat_au_conseil_communautaire": "N"
}
Record 5geom: [large value omitted] · mots: ["NOUVEAU","VISAGE","POUR","ABLIS"]
{
  "geom": "[large value omitted]",
  "mots": [
    "NOUVEAU",
    "VISAGE",
    "POUR",
    "ABLIS"
  ],
  "region": "ILE-DE-FRANCE",
  "libelle": null,
  "libepci": "CA Rambouillet Territoires",
  "com_code": "78003",
  "reg_code": "11",
  "reg_name": "Île-de-France",
  "code_epci": "200073344",
  "epci_code": "200073344",
  "epci_name": "CA Rambouillet Territoires",
  "code_region": "11",
  "nationalite": "Française",
  "code_commune": "78003",
  "geo_point_2d": {
    "lat": 48.5284441951,
    "lon": 1.85085809226
  },
  "nom_candidat": "BIAT",
  "nuance_liste": null,
  "num_candidat": 10,
  "sexe_candidat": "M",
  "libelle_commune": "Ablis",
  "prenom_candidat": "Yannick",
  "ndeg_panneau_liste": 1,
  "code_du_departement": "78",
  "libelle_abrege_liste": "UN NOUVEAU VISAGE",
  "libelle_etendu_liste": "UN NOUVEAU VISAGE POUR ABLIS",
  "population_municipale": 3436,
  "libelle_du_departement": "Yvelines",
  "candidat_au_conseil_communautaire": "N"
}

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Query examples

curl -s 'https://public.opendatasoft.com/api/explore/v2.1/catalog/datasets/elections-municipales-2020-france-candidatures-au-1er-tour/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.

Full API documentation ↗

Rate limits

10 000 000 req/day
per ipmeasured
observed 2 hours ago

Dataset

Volume & freshness

Records
902k
902494
Last upstream update
5 years ago
2021-04-12
Temporal coverage
2020 → ongoing

License

No license declared upstream.

Documentation Data dictionary Versioning

Source: opendatasoft

Machine-readable & source

Élections municipales 2020 - France - Candidatures au 1er tour — live verification badge

Embed this badge in a README or wiki — it always shows the latest verification state and quality tier.