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Register record·API·FR·STATISTICS_OFFICEVERIFIED · checked 23h ago
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Employment at Place of Work - Key Indicators (full dataset)Emploi au lieu de travail - Principaux indicateurs (dossier complet)

Emploi au lieu de travail - Principaux indicateurs (dossier complet)Employment at Place of Work - Key Indicators (full dataset)

DS_RP_EMPLOI_LT_COMP

APIExecutable4/7Query nowOpen workbenchSubscribe🇫🇷France

This API from INSEE, the French national statistics institute, provides characteristics of employment at place of work, broken down by type of employment, socio-professional category, sex, and economic sector. Data is available at the municipal (communal) and supra-municipal level, covering France excluding Mayotte. It is derived from the population census and can be used for local and regional labour market analysis.Caractéristiques des emplois au lieu de travail selon la forme d'emploi, la catégorie socioprofessionnelle, le sexe et le secteur d'activité 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 commune or supra-communal area.Geographic code identifying the commune or supra-communal area.
PCSstringSocio-professional category code of the employed person.Socio-professional category code of the employed person.
EMP_ACTIVITYEmp activitystringCode for the economic sector/activity of the job.Code for the economic sector/activity of the job.
SEXstringSex of the employed person (e.g. male/female).Sex of the employed person (e.g. male/female).
EMPFORMstringCode indicating the form of employment (e.g. employee status).Code indicating the form of employment (e.g. employee status).
FREQFrequencystringFrequency of the observation, such as annual.Frequency of the observation, such as annual.
TIME_PERIODPeriodstringReference year of the observation.Reference year of the observation.
RP_MEASURERp measurestringCode identifying the statistical measure reported (e.g. number of jobs).Code identifying the statistical measure reported (e.g. number of jobs).
OBS_VALUE_NIVEAUValuenumberObserved value (level) for the given indicator.Observed value (level) for the given indicator.

Schema captured from melodi 7 days ago.

Query the data

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Sample data (5 records)

Record 1GEO: 2026-AAV2020-001 · PCS: _T
{
  "GEO": "2026-AAV2020-001",
  "PCS": "_T",
  "SEX": "F",
  "FREQ": "A",
  "EMPFORM": "1",
  "RP_MEASURE": "NBEMP",
  "TIME_PERIOD": "2012",
  "EMP_ACTIVITY": "AZ",
  "OBS_VALUE_NIVEAU": 2299.101
}
Record 2GEO: 2026-AAV2020-001 · PCS: _T
{
  "GEO": "2026-AAV2020-001",
  "PCS": "_T",
  "SEX": "F",
  "FREQ": "A",
  "EMPFORM": "2",
  "RP_MEASURE": "NBEMP",
  "TIME_PERIOD": "2012",
  "EMP_ACTIVITY": "AZ",
  "OBS_VALUE_NIVEAU": 3220.2982
}
Record 3GEO: 2026-AAV2020-001 · PCS: _T
{
  "GEO": "2026-AAV2020-001",
  "PCS": "_T",
  "SEX": "F",
  "FREQ": "A",
  "EMPFORM": "_T",
  "RP_MEASURE": "NBEMP",
  "TIME_PERIOD": "2012",
  "EMP_ACTIVITY": "AZ",
  "OBS_VALUE_NIVEAU": 5519.3992
}
Record 4GEO: 2026-AAV2020-001 · PCS: _T
{
  "GEO": "2026-AAV2020-001",
  "PCS": "_T",
  "SEX": "M",
  "FREQ": "A",
  "EMPFORM": "1",
  "RP_MEASURE": "NBEMP",
  "TIME_PERIOD": "2012",
  "EMP_ACTIVITY": "AZ",
  "OBS_VALUE_NIVEAU": 6956.99838
}
Record 5GEO: 2026-AAV2020-001 · PCS: _T
{
  "GEO": "2026-AAV2020-001",
  "PCS": "_T",
  "SEX": "M",
  "FREQ": "A",
  "EMPFORM": "2",
  "RP_MEASURE": "NBEMP",
  "TIME_PERIOD": "2012",
  "EMP_ACTIVITY": "AZ",
  "OBS_VALUE_NIVEAU": 6713.8208
}

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_EMPLOI_LT_COMP

Query examples

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

First 20 observations (dimensions + measures) as JSON.

Full API documentation ↗

Machine-readable & source

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