Home-to-Work Commuting by Socio-Professional Category and Economic Activity – Detailed Data (NAV3 and NAV4)Déplacements domicile-travail selon la PCS et l’activité économique – Données détaillées (NAV3 et NAV4)

Déplacements domicile-travail selon la PCS et l’activité économique – Données détaillées (NAV3 et NAV4)Home-to-Work Commuting by Socio-Professional Category and Economic Activity – Detailed Data (NAV3 and NAV4)

APIExecutable4/7Query nowOpen workbench Subscribe🇫🇷France

Website Docs

This API, published by INSEE (French National Institute of Statistics and Economic Studies), provides detailed data on commuters travelling from home to work in France, excluding Mayotte. It breaks down commuter characteristics by sex, workplace location, socio-professional category, and economic sector of activity, at the municipal (commune) and supra-municipal levels. The dataset supports detailed analysis of commuting patterns in relation to occupational and industry structures across French territory.Caractéristiques des navetteurs selon le sexe, le lieu de travail, la catégorie socioprofessionnelle et le secteur d'activité économique au niveau communal et supracommunal pour la France hors Mayotte.

Filter by dimension Run verified request Read the docs

Data schema (11 fields)

Click a field to see example values.

Field	Type	Description
GEOTerritory	string	Geographic code of the commuter's area of residence.Geographic code of the commuter's area of residence.
PCS	string	Socio-professional category code of the person.Socio-professional category code of the person.
EMP_ACTIVITYEmp activity	string	Economic activity sector code of the workplace.Economic activity sector code of the workplace.
SEX	string	Sex of the person (male or female).Sex of the person (male or female).
WORK_AREAWork area	string	Code identifying the place of work relative to residence.Code identifying the place of work relative to residence.
FREQFrequency	string	Frequency of the observation, e.g. annual.Frequency of the observation, e.g. annual.
EMPSTA_ENQEmpsta enq	string	Employment status code as recorded in the census survey.Employment status code as recorded in the census survey.
TIME_PERIODPeriod	string	Reference year of the observation.Reference year of the observation.
RP_MEASURERp measure	string	Type of measure from the population census, e.g. population count.Type of measure from the population census, e.g. population count.
AGE	string	Age group of the person covered by the observation.Age group of the person covered by the observation.
OBS_VALUE_NIVEAUValue	number	Estimated number of people corresponding to the observation.Estimated number of people corresponding to the observation.

Schema captured from melodi 8 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.

Where=

Sort by

Sample data (5 records)

Record 1AGE: Y_GE15 · GEO: 2026-AAV2020-001

{
  "AGE": "Y_GE15",
  "GEO": "2026-AAV2020-001",
  "PCS": "10",
  "SEX": "F",
  "FREQ": "A",
  "WORK_AREA": "10",
  "EMPSTA_ENQ": "1",
  "RP_MEASURE": "POP",
  "TIME_PERIOD": "2023",
  "EMP_ACTIVITY": "_T",
  "OBS_VALUE_NIVEAU": 1634.47976
}

Record 2AGE: Y_GE15 · GEO: 2026-AAV2020-001

{
  "AGE": "Y_GE15",
  "GEO": "2026-AAV2020-001",
  "PCS": "10",
  "SEX": "F",
  "FREQ": "A",
  "WORK_AREA": "21",
  "EMPSTA_ENQ": "1",
  "RP_MEASURE": "POP",
  "TIME_PERIOD": "2023",
  "EMP_ACTIVITY": "_T",
  "OBS_VALUE_NIVEAU": 290.19529
}

Record 3AGE: Y_GE15 · GEO: 2026-AAV2020-001

{
  "AGE": "Y_GE15",
  "GEO": "2026-AAV2020-001",
  "PCS": "10",
  "SEX": "F",
  "FREQ": "A",
  "WORK_AREA": "22",
  "EMPSTA_ENQ": "1",
  "RP_MEASURE": "POP",
  "TIME_PERIOD": "2023",
  "EMP_ACTIVITY": "_T",
  "OBS_VALUE_NIVEAU": 171.16876
}

Record 4AGE: Y_GE15 · GEO: 2026-AAV2020-001

{
  "AGE": "Y_GE15",
  "GEO": "2026-AAV2020-001",
  "PCS": "10",
  "SEX": "F",
  "FREQ": "A",
  "WORK_AREA": "23",
  "EMPSTA_ENQ": "1",
  "RP_MEASURE": "POP",
  "TIME_PERIOD": "2023",
  "EMP_ACTIVITY": "_T",
  "OBS_VALUE_NIVEAU": 274.5477
}

Record 5AGE: Y_GE15 · GEO: 2026-AAV2020-001

{
  "AGE": "Y_GE15",
  "GEO": "2026-AAV2020-001",
  "PCS": "10",
  "SEX": "F",
  "FREQ": "A",
  "WORK_AREA": "24T30",
  "EMPSTA_ENQ": "1",
  "RP_MEASURE": "POP",
  "TIME_PERIOD": "2023",
  "EMP_ACTIVITY": "_T",
  "OBS_VALUE_NIVEAU": 3.54349
}

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

Verification Status

Using the API

Configuration

Base URL: https://api.insee.fr/melodi/data/DS_RP_TD_NAVETTES_PCSACTIVITY_COMP

Query examples

curl -s 'https://api.insee.fr/melodi/data/DS_RP_TD_NAVETTES_PCSACTIVITY_COMP?maxResult=20' -H 'Accept: application/json'

First 20 observations (dimensions + measures) as JSON.

Full API documentation ↗

Machine-readable & source

JSON

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