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Employment at Place of Work by Form of Employment and Working Time – Detailed Data (EMP4)Emploi au lieu de travail selon la forme d’emploi et le temps de travail – Données détaillées (EMP4)

Emploi au lieu de travail selon la forme d’emploi et le temps de travail – Données détaillées (EMP4)Employment at Place of Work by Form of Employment and Working Time – Detailed Data (EMP4)

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This dataset, published by INSEE, France's national statistics institute, provides detailed characteristics of employment at place of work, broken down by form of employment (e.g. full-time, part-time), working time, and sex. Data are available at the communal and supra-communal level for metropolitan France and its overseas territories, excluding Mayotte. It is derived from the population census and is useful for analyzing local labor market structures and employment patterns across French municipalities and larger territorial groupings.Caractéristiques des emplois au lieu de travail selon la forme d'emploi, le temps de travail et le sexe au niveau communal et supracommunal pour la France hors Mayotte.

61
good

Weighted across five axes. Tap a ring for what it measures.

Data schema (9 fields)

Click a field to see example values.

FieldTypeDescription
GEOTerritorystringGeographic code identifying the territorial unit (commune or larger area).Geographic code identifying the territorial unit (commune or larger area).
SEXstringSex of workers, e.g. male or female.Sex of workers, e.g. male or female.
EMPFORMstringCode for the form of employment (e.g. salaried, self-employed).Code for the form of employment (e.g. salaried, self-employed).
FREQFrequencystringFrequency of the statistical observation (e.g. annual).Frequency of the statistical observation (e.g. annual).
EMPSTA_ENQEmpsta enqstringCode for employment status as classified in the survey.Code for employment status as classified in the survey.
TIME_PERIODPeriodstringReference year of the observation.Reference year of the observation.
WKTIMEstringWorking time category, such as full-time or part-time.Working time category, such as full-time or part-time.
RP_MEASURERp measurestringCode identifying the statistical measure used, e.g. number of jobs.Code identifying the statistical measure used, e.g. number of jobs.
OBS_VALUE_NIVEAUValuenumberObserved value, number of jobs at workplace for the given breakdown.Observed value, number of jobs at workplace for the given breakdown.

Schema captured from melodi 12 hours ago.

Query the data

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Sample data (5 records)

Record 1GEO: 2026-AAV2020-001 · SEX: F
{
  "GEO": "2026-AAV2020-001",
  "SEX": "F",
  "FREQ": "A",
  "WKTIME": "FT",
  "EMPFORM": "1",
  "EMPSTA_ENQ": "1",
  "RP_MEASURE": "NBEMP",
  "TIME_PERIOD": "2023",
  "OBS_VALUE_NIVEAU": 193263.48598
}
Record 2GEO: 2026-AAV2020-001 · SEX: F
{
  "GEO": "2026-AAV2020-001",
  "SEX": "F",
  "FREQ": "A",
  "WKTIME": "PT",
  "EMPFORM": "1",
  "EMPSTA_ENQ": "1",
  "RP_MEASURE": "NBEMP",
  "TIME_PERIOD": "2023",
  "OBS_VALUE_NIVEAU": 59929.93277
}
Record 3GEO: 2026-AAV2020-001 · SEX: F
{
  "GEO": "2026-AAV2020-001",
  "SEX": "F",
  "FREQ": "A",
  "WKTIME": "_T",
  "EMPFORM": "1",
  "EMPSTA_ENQ": "1",
  "RP_MEASURE": "NBEMP",
  "TIME_PERIOD": "2023",
  "OBS_VALUE_NIVEAU": 253193.41875
}
Record 4GEO: 2026-AAV2020-001 · SEX: M
{
  "GEO": "2026-AAV2020-001",
  "SEX": "M",
  "FREQ": "A",
  "WKTIME": "FT",
  "EMPFORM": "1",
  "EMPSTA_ENQ": "1",
  "RP_MEASURE": "NBEMP",
  "TIME_PERIOD": "2023",
  "OBS_VALUE_NIVEAU": 379728.78083
}
Record 5GEO: 2026-AAV2020-001 · SEX: M
{
  "GEO": "2026-AAV2020-001",
  "SEX": "M",
  "FREQ": "A",
  "WKTIME": "PT",
  "EMPFORM": "1",
  "EMPSTA_ENQ": "1",
  "RP_MEASURE": "NBEMP",
  "TIME_PERIOD": "2023",
  "OBS_VALUE_NIVEAU": 55035.29981
}

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_EMPLOI_LT_EMPFORMWKTIME_COMP

Query examples

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

First 20 observations (dimensions + measures) as JSON.

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Machine-readable & source

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