Home-to-work commuting by sex and age – Detailed data (NAV1)Déplacements domicile-travail selon le sexe et l’âge – Données détaillées (NAV1)
Déplacements domicile-travail selon le sexe et l’âge – Données détaillées (NAV1)Home-to-work commuting by sex and age – Detailed data (NAV1)
This dataset, published by INSEE (French national statistics institute), provides detailed statistics on home-to-work commuting patterns in France, excluding Mayotte. It characterizes commuters by age, sex, and place of work, with data available at the municipal (commune) and supra-municipal levels. It draws on national census data and can be used to analyze commuting flows, workforce mobility, and demographic patterns across French territorial units.Caractéristiques des navetteurs selon l'âge, le sexe et le lieu de travail au niveau communal et supracommunal pour la France hors Mayotte.
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (9 fields)
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| GEOTerritory | string | Geographic code identifying the commune or supra-communal area.Geographic code identifying the commune or supra-communal area. |
| SEX | string | Sex of the individuals (male or female).Sex of the individuals (male or female). |
| WORK_AREAWork area | string | Code identifying the location or zone of employment.Code identifying the location or zone of employment. |
| FREQFrequency | string | Frequency of data collection, e.g. annual.Frequency of data collection, e.g. annual. |
| EMPSTA_ENQEmpsta enq | string | Employment status code as recorded in the survey.Employment status code as recorded in the survey. |
| TIME_PERIODPeriod | string | Reference year of the data.Reference year of the data. |
| 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 individuals.Age group of the individuals. |
| OBS_VALUE_NIVEAUValue | number | Observed value, typically a population count.Observed value, typically a population count. |
Schema captured from melodi 7 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 1AGE: Y15T19 · GEO: 2026-AAV2020-001
{
"AGE": "Y15T19",
"GEO": "2026-AAV2020-001",
"SEX": "F",
"FREQ": "A",
"WORK_AREA": "10",
"EMPSTA_ENQ": "1",
"RP_MEASURE": "POP",
"TIME_PERIOD": "2023",
"OBS_VALUE_NIVEAU": 10732.35522
}Record 2AGE: Y15T19 · GEO: 2026-AAV2020-001
{
"AGE": "Y15T19",
"GEO": "2026-AAV2020-001",
"SEX": "M",
"FREQ": "A",
"WORK_AREA": "10",
"EMPSTA_ENQ": "1",
"RP_MEASURE": "POP",
"TIME_PERIOD": "2023",
"OBS_VALUE_NIVEAU": 12770.52751
}Record 3AGE: Y15T19 · GEO: 2026-AAV2020-001
{
"AGE": "Y15T19",
"GEO": "2026-AAV2020-001",
"SEX": "_T",
"FREQ": "A",
"WORK_AREA": "10",
"EMPSTA_ENQ": "1",
"RP_MEASURE": "POP",
"TIME_PERIOD": "2023",
"OBS_VALUE_NIVEAU": 23502.88273
}Record 4AGE: Y15T19 · GEO: 2026-AAV2020-001
{
"AGE": "Y15T19",
"GEO": "2026-AAV2020-001",
"SEX": "F",
"FREQ": "A",
"WORK_AREA": "21",
"EMPSTA_ENQ": "1",
"RP_MEASURE": "POP",
"TIME_PERIOD": "2023",
"OBS_VALUE_NIVEAU": 12175.03445
}Record 5AGE: Y15T19 · GEO: 2026-AAV2020-001
{
"AGE": "Y15T19",
"GEO": "2026-AAV2020-001",
"SEX": "M",
"FREQ": "A",
"WORK_AREA": "21",
"EMPSTA_ENQ": "1",
"RP_MEASURE": "POP",
"TIME_PERIOD": "2023",
"OBS_VALUE_NIVEAU": 17836.69886
}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_SEXAGE_COMP
Query examples
curl -s 'https://api.insee.fr/melodi/data/DS_RP_TD_NAVETTES_SEXAGE_COMP?maxResult=20' -H 'Accept: application/json'First 20 observations (dimensions + measures) as JSON.
Machine-readable & source
Embed this badge in a README or wiki — it always shows the latest verification state and quality tier.