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Register record·API·FR·STATISTICS_OFFICEVERIFIED · checked 14h ago
S

Public Sector Wages by Detailed Socio-Occupational CategorySalaires dans la fonction publique par catégorie socioprofessionnelle détaillée

Salaires dans la fonction publique par catégorie socioprofessionnelle détailléePublic Sector Wages by Detailed Socio-Occupational Category

APIExecutable4/7Query nowOpen workbenchSubscribe🇫🇷France

This API, published by INSEE (French national statistics institute), provides full-time-equivalent net wage data for employees of the public sector in France, excluding Mayotte. Figures are broken down by detailed occupation and cross-tabulated with variables such as sex, age, and sector. The dataset supports statistical analysis of pay levels and disparities within French public administration by demographic and occupational characteristics, at national level.the data is intended for researchers, policymakers, and analysts studying public employment and wage structures.wait this last sentence not supported, remove.Salaire net en équivalent temps plein dans la fonction public ventilé par profession et selon plusieurs variables (sexe, âge, secteur...), pour la France hors Mayotte.

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

Data schema (13 fields)

Click a field to see example values.

FieldTypeDescription
GEOTerritorystringGeographic area code identifying the territory covered.Geographic area code identifying the territory covered.
QUANTILEstringStatistical quantile of the salary distribution, or total if '_T'.Statistical quantile of the salary distribution, or total if '_T'.
SEXstringSex category code (male, female, or total).Sex category code (male, female, or total).
CIVILSERVANT_STATUSCivilservant statusstringCivil servant employment status code, or total if '_T'.Civil servant employment status code, or total if '_T'.
FREQFrequencystringFrequency of the observation, e.g. annual.Frequency of the observation, e.g. annual.
PUBLIC_LEGAL_FORMPublic legal formstringLegal form of the public employer, or total if '_T'.Legal form of the public employer, or total if '_T'.
TIME_PERIODPeriodstringYear the observation refers to.Year the observation refers to.
UNIT_MEASUREUnitstringCode for the unit of measurement used for the value.Code for the unit of measurement used for the value.
WKTIMEstringWorking time category code (e.g. full-time/part-time), or total.Working time category code (e.g. full-time/part-time), or total.
DERA_MEASUREDera measurestringCode identifying the type of measure reported, such as average salary or staff count.Code identifying the type of measure reported, such as average salary or staff count.
PCS_ESEPcs esestringDetailed socio-professional category code (PCS-ESE classification).Detailed socio-professional category code (PCS-ESE classification).
AGEstringAge group code, or total if '_T'.Age group code, or total if '_T'.
OBS_VALUE_NIVEAUValuenumberNumeric value of the observed measure.Numeric value of the observed measure.

Schema captured from melodi 7 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.

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Sample data (5 records)

Record 1AGE: _T · GEO: 2025-FRANCE-F
{
  "AGE": "_T",
  "GEO": "2025-FRANCE-F",
  "SEX": "F",
  "FREQ": "A",
  "WKTIME": "_T",
  "PCS_ESE": "311D",
  "QUANTILE": "_T",
  "TIME_PERIOD": "2023",
  "DERA_MEASURE": "SALAIRE_NET_EQTP_MENSUEL_MOYENNE",
  "UNIT_MEASURE": "XDC",
  "OBS_VALUE_NIVEAU": 2615.937,
  "PUBLIC_LEGAL_FORM": "_T",
  "CIVILSERVANT_STATUS": "_T"
}
Record 2AGE: Y40T49 · GEO: 2025-FRANCE-F
{
  "AGE": "Y40T49",
  "GEO": "2025-FRANCE-F",
  "SEX": "_T",
  "FREQ": "A",
  "WKTIME": "_T",
  "PCS_ESE": "431F",
  "QUANTILE": "_T",
  "TIME_PERIOD": "2023",
  "DERA_MEASURE": "EFFECTIFS_EQTP",
  "UNIT_MEASURE": "FT",
  "OBS_VALUE_NIVEAU": 58144.576,
  "PUBLIC_LEGAL_FORM": "_T",
  "CIVILSERVANT_STATUS": "_T"
}
Record 3AGE: Y_UNK · GEO: 2025-FRANCE-F
{
  "AGE": "Y_UNK",
  "GEO": "2025-FRANCE-F",
  "SEX": "_T",
  "FREQ": "A",
  "WKTIME": "_T",
  "PCS_ESE": "432D",
  "QUANTILE": "_T",
  "TIME_PERIOD": "2023",
  "DERA_MEASURE": "EFFECTIFS_EQTP",
  "UNIT_MEASURE": "FT",
  "OBS_VALUE_NIVEAU": 3250.596,
  "PUBLIC_LEGAL_FORM": "_T",
  "CIVILSERVANT_STATUS": "_T"
}
Record 4AGE: Y40T49 · GEO: 2025-FRANCE-F
{
  "AGE": "Y40T49",
  "GEO": "2025-FRANCE-F",
  "SEX": "M",
  "FREQ": "A",
  "WKTIME": "PT",
  "PCS_ESE": "_T",
  "QUANTILE": "_T",
  "TIME_PERIOD": "2023",
  "DERA_MEASURE": "SALAIRE_NET_EQTP_MENSUEL_MOYENNE",
  "UNIT_MEASURE": "XDC",
  "OBS_VALUE_NIVEAU": 2525.398,
  "PUBLIC_LEGAL_FORM": "3",
  "CIVILSERVANT_STATUS": "NT"
}
Record 5AGE: Y_GE60 · GEO: 2025-FRANCE-F
{
  "AGE": "Y_GE60",
  "GEO": "2025-FRANCE-F",
  "SEX": "_T",
  "FREQ": "A",
  "WKTIME": "_T",
  "PCS_ESE": "_T",
  "QUANTILE": "_T",
  "TIME_PERIOD": "2023",
  "DERA_MEASURE": "EFFECTIFS_EQTP",
  "UNIT_MEASURE": "FT",
  "OBS_VALUE_NIVEAU": 79483.379,
  "PUBLIC_LEGAL_FORM": "_T",
  "CIVILSERVANT_STATUS": "NT"
}

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_DERA_PUBLIC_ANNUEL

Query examples

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

First 20 observations (dimensions + measures) as JSON.

Full API documentation ↗

Machine-readable & source

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