Working Population by Type of Employment, Working Time and Grouped Age – Detailed Data (ACT2B)Population active selon la forme d’emploi, le temps de travail et l'âge regroupé – Données détaillées (ACT2B)
Population active selon la forme d’emploi, le temps de travail et l'âge regroupé – Données détaillées (ACT2B)Working Population by Type of Employment, Working Time and Grouped Age – Detailed Data (ACT2B)
Published by INSEE, this API provides detailed statistics on the working population aged 15 and over, drawn from the French census. Data are broken down by age, sex, type of employment, employment status, and working time (full-time or part-time), covering communes and supra-communal territorial levels across France excluding Mayotte. The dataset supports demographic and labour-market analysis at a fine geographic granularity, allowing comparison of employment patterns across local areas and population groups within the national territory.Caractéristiques de la population de 15 ans ou plus ayant un emploi selon l'âge, le sexe, la forme d'emploi, la condition d'emploi et la durée 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 (10 fields)
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| GEOTerritory | string | — |
| SEX | string | — |
| EMPFORM | string | — |
| FREQFrequency | string | — |
| EMPSTA_ENQEmpsta enq | string | — |
| TIME_PERIODPeriod | string | — |
| WKTIME | string | — |
| RP_MEASURERp measure | string | — |
| AGE | string | — |
| OBS_VALUE_NIVEAUValue | number | — |
Schema captured from melodi 4 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 1AGE: Y15T19 · GEO: 2026-AAV2020-001
{
"AGE": "Y15T19",
"GEO": "2026-AAV2020-001",
"SEX": "F",
"FREQ": "A",
"WKTIME": "FT",
"EMPFORM": "1",
"EMPSTA_ENQ": "1",
"RP_MEASURE": "POP",
"TIME_PERIOD": "2023",
"OBS_VALUE_NIVEAU": 270.39849
}Record 2AGE: Y15T19 · GEO: 2026-AAV2020-001
{
"AGE": "Y15T19",
"GEO": "2026-AAV2020-001",
"SEX": "M",
"FREQ": "A",
"WKTIME": "FT",
"EMPFORM": "1",
"EMPSTA_ENQ": "1",
"RP_MEASURE": "POP",
"TIME_PERIOD": "2023",
"OBS_VALUE_NIVEAU": 642.16854
}Record 3AGE: Y15T19 · GEO: 2026-AAV2020-001
{
"AGE": "Y15T19",
"GEO": "2026-AAV2020-001",
"SEX": "_T",
"FREQ": "A",
"WKTIME": "FT",
"EMPFORM": "1",
"EMPSTA_ENQ": "1",
"RP_MEASURE": "POP",
"TIME_PERIOD": "2023",
"OBS_VALUE_NIVEAU": 912.56703
}Record 4AGE: Y15T19 · GEO: 2026-AAV2020-001
{
"AGE": "Y15T19",
"GEO": "2026-AAV2020-001",
"SEX": "F",
"FREQ": "A",
"WKTIME": "PT",
"EMPFORM": "1",
"EMPSTA_ENQ": "1",
"RP_MEASURE": "POP",
"TIME_PERIOD": "2023",
"OBS_VALUE_NIVEAU": 521.3592
}Record 5AGE: Y15T19 · GEO: 2026-AAV2020-001
{
"AGE": "Y15T19",
"GEO": "2026-AAV2020-001",
"SEX": "M",
"FREQ": "A",
"WKTIME": "PT",
"EMPFORM": "1",
"EMPSTA_ENQ": "1",
"RP_MEASURE": "POP",
"TIME_PERIOD": "2023",
"OBS_VALUE_NIVEAU": 650.36793
}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_ACTIVITE_AGEEMPFORMD_COMP
Query examples
curl -s 'https://api.insee.fr/melodi/data/DS_RP_TD_ACTIVITE_AGEEMPFORMD_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.