Employed population aged 15 and over by sex, place of work and mode of transport - 2021Population active de 15 ans ou plus ayant un emploi par sexe, lieu de travail et moyen de transport-2021

Name: Employed population aged 15 and over by sex, place of work and mode of transport - 2021
Creator: INSEE

Population active de 15 ans ou plus ayant un emploi par sexe, lieu de travail et moyen de transport-2021Employed population aged 15 and over by sex, place of work and mode of transport - 2021

Published by INSEE

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This dataset details the number of persons aged 15 or over who are employed, broken down by municipality of work, distinguishing them by proximity of the municipality of residence, sex, and mode of transport used to commute. The figures come from the complementary analysis of the 2019 census, using municipal geography as of 1 January 2022. Published by INSEE, France's national statistics institute, the dataset covers the Pays de la Loire region and can be used to study commuting patterns and travel modes among the working population at municipal level.Ce jeu de donnée détaille le nombre de personnes travaillant dans chaque commune en les distinguant par : - Proximité de la commune de résidence - Sexe - Moyen de transport Ces résultats sont issus de l'exploitation complémentaire du recensement 2019. Géographie communale au 1er janvier 2022. Le...

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How is this computed?

fair

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Data schema (13 fields)

Filterable via the API (11)

nivgeocode_geographiquelibelle_geographiquelieu_de_travailsexemode_de_transportnbepci_nameepci_codedep_namedepartement

Click a field to see example values.

Fill	Field	Type	Description
—	nivgeo	text	Level of geographic aggregation, e.g. commune.Level of geographic aggregation, e.g. commune.
—	code_geographiqueCode geographique	text	Official geographic code of the commune.Official geographic code of the commune.
—	libelle_geographiqueLibellé géographique	text	Name of the commune.Name of the commune.
—	lieu_de_travailLieu_travail	text	Location of workplace relative to place of residence.Location of workplace relative to place of residence.
—	sexe	text	Sex of the working population counted.Sex of the working population counted.
—	mode_de_transportMode de transport	text	Main mode of transport used to reach work.Main mode of transport used to reach work.
—	nb	double	Number of employed persons matching the category.Number of employed persons matching the category.
—	geom	geo_shape	Geographic shape (boundary) of the commune.Geographic shape (boundary) of the commune.
—	position_geographiquePosition geographique	geo_point_2d	Geographic coordinates (latitude, longitude) of the commune.Geographic coordinates (latitude, longitude) of the commune.
—	epci_nameEPCI-Métropole	text	Name of the intercommunal body (EPCI) the commune belongs to.Name of the intercommunal body (EPCI) the commune belongs to.
99.2%	epci_codeCode Officiel EPCI	text	Official code of the intercommunal body (EPCI).Official code of the intercommunal body (EPCI).
99.3%	dep_nameDépartement	text	Name of the department containing the commune.Name of the department containing the commune.
99.3%	departementCode département	text	Official code of the department containing the commune.Official code of the department containing the commune.

Schema captured from opendatasoft 3 days ago.

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Sample data (5 records)

Record 1nb: 81 · geom: [large value omitted]

{
  "nb": 81,
  "geom": "[large value omitted]",
  "sexe": "Femme",
  "nivgeo": "COM",
  "dep_name": "Sarthe",
  "epci_code": "247200132",
  "epci_name": "Communauté urbaine Le Mans Métropole",
  "departement": "72",
  "lieu_de_travail": "Commune de résidence",
  "code_geographique": "72003",
  "mode_de_transport": "Pas de transport",
  "libelle_geographique": "Allonnes",
  "position_geographique": {
    "lat": 47.958970599,
    "lon": 0.144300131
  }
}

Record 2nb: 192 · geom: [large value omitted]

{
  "nb": 192,
  "geom": "[large value omitted]",
  "sexe": "Homme",
  "nivgeo": "COM",
  "dep_name": "Loire-Atlantique",
  "epci_code": "243500741",
  "epci_name": "Communauté d'agglomération Redon Agglomération",
  "departement": "44",
  "lieu_de_travail": "Autre région en France métropolitaine",
  "code_geographique": "44067",
  "mode_de_transport": "Voiture, camion, fourgonnette",
  "libelle_geographique": "Guémené-Penfao",
  "position_geographique": {
    "lat": 47.627776178,
    "lon": -1.830896118
  }
}

Record 3nb: 80 · geom: [large value omitted]

{
  "nb": 80,
  "geom": "[large value omitted]",
  "sexe": "Homme",
  "nivgeo": "COM",
  "dep_name": "Maine-et-Loire",
  "epci_code": "200060010",
  "epci_name": "Communauté d'agglomération Mauges Communauté",
  "departement": "49",
  "lieu_de_travail": "Autre région en France métropolitaine",
  "code_geographique": "49244",
  "mode_de_transport": "Voiture, camion, fourgonnette",
  "libelle_geographique": "Mauges-sur-Loire",
  "position_geographique": {
    "lat": 47.341001034,
    "lon": -0.928035077
  }
}

Record 4nb: 15 · geom: [large value omitted]

{
  "nb": 15,
  "geom": "[large value omitted]",
  "sexe": "Homme",
  "nivgeo": "COM",
  "dep_name": "Loire-Atlantique",
  "epci_code": "200072734",
  "epci_name": "Communauté de communes Estuaire et Sillon",
  "departement": "44",
  "lieu_de_travail": "Autre région en France métropolitaine",
  "code_geographique": "44033",
  "mode_de_transport": "Transports en commun",
  "libelle_geographique": "La Chapelle-Launay",
  "position_geographique": {
    "lat": 47.353201993,
    "lon": -1.981753074
  }
}

Record 5nb: 10 · geom: [large value omitted]

{
  "nb": 10,
  "geom": "[large value omitted]",
  "sexe": "Homme",
  "nivgeo": "COM",
  "dep_name": "Vendée",
  "epci_code": "200070233",
  "epci_name": "Communauté d'agglomération Terres de Montaigu",
  "departement": "85",
  "lieu_de_travail": "Commune de résidence",
  "code_geographique": "85025",
  "mode_de_transport": "Vélo",
  "libelle_geographique": "La Boissière-de-Montaigu",
  "position_geographique": {
    "lat": 46.945216675,
    "lon": -1.191633172
  }
}

Live sample captured at profiling time — values may have changed upstream.

Verification Status

Using the API

Configuration

Base URL: https://data.paysdelaloire.fr/api/explore/v2.1/catalog/datasets/234400034_lieu_travail_et_moyen_transport

Query examples

curl -s 'https://data.paysdelaloire.fr/api/explore/v2.1/catalog/datasets/234400034_lieu_travail_et_moyen_transport/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

5 000 req/day

per ipmeasured

observed 3 days ago

Dataset

Volume & freshness

Records

18k

18044

Update cadence

Annual

declared upstream

Last upstream update

11 months ago

2025-11-18

Temporal coverage

2019 → ongoing

License

No license declared upstream.

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Source: opendatasoft

Machine-readable & source

JSON

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