Net Full-Time-Equivalent Salaries in the Private Sector by Detailed Socio-Professional CategorySalaires dans le secteur privé par catégorie socioprofessionnelle détaillée

Salaires dans le secteur privé par catégorie socioprofessionnelle détailléeNet Full-Time-Equivalent Salaries in the Private Sector by Detailed Socio-Professional Category

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This API from INSEE, the French national statistics institute, provides data on net full-time-equivalent salaries in the private sector, broken down by detailed socio-professional category. Figures can be further cross-tabulated by variables such as sex, age, and economic sector. The dataset supports analysis of wage levels and disparities across occupational groups within France, and is freely accessible without authentication for national-level labour market and income research.deflasyon.czSalaire net en équivalent temps plein dans le secteur privé ventilé par catégorie socioprofessionnelle détaillée et selon plusieurs variables (sexe, âge, secteur...).

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Data schema (13 fields)

Click a field to see example values.

Field	Type	Description
GEOTerritory	string	Geographic area code covered by the observation.Geographic area code covered by the observation.
NUMBER_EMPLNumber empl	string	Company size category, based on number of employees.Company size category, based on number of employees.
QUANTILE	string	Salary distribution quantile category (e.g. median, decile).Salary distribution quantile category (e.g. median, decile).
SEX	string	Sex of the employees covered by the observation.Sex of the employees covered by the observation.
FREQFrequency	string	Frequency of the observation (e.g. annual).Frequency of the observation (e.g. annual).
TIME_PERIODPeriod	string	Reference year of the observation.Reference year of the observation.
UNIT_MEASUREUnit	string	Unit of measurement code for the observed value.Unit of measurement code for the observed value.
WKTIME	string	Working time category, such as full-time or part-time.Working time category, such as full-time or part-time.
DERA_MEASUREDera measure	string	Type of salary measure computed, e.g. average net full-time equivalent monthly salary.Type of salary measure computed, e.g. average net full-time equivalent monthly salary.
PCS_ESEPcs ese	string	Detailed socio-professional category code of employees.Detailed socio-professional category code of employees.
ACTIVITY	string	Economic activity sector code of the employer.Economic activity sector code of the employer.
AGE	string	Age group of the employees covered by the observation.Age group of the employees covered by the observation.
OBS_VALUE_NIVEAUValue	number	Observed net full-time equivalent salary value.Observed net full-time equivalent salary value.

Schema captured from melodi 7 days ago.

Query the data

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Sample data (5 records)

Record 1AGE: Y50T59 · GEO: 2025-FRANCE-F

{
  "AGE": "Y50T59",
  "GEO": "2025-FRANCE-F",
  "SEX": "_T",
  "FREQ": "A",
  "WKTIME": "_T",
  "PCS_ESE": "3",
  "ACTIVITY": "C29_30",
  "QUANTILE": "_T",
  "NUMBER_EMPL": "_T",
  "TIME_PERIOD": "2024",
  "DERA_MEASURE": "SALAIRE_NET_EQTP_MENSUEL_MOYENNE",
  "UNIT_MEASURE": "XDC",
  "OBS_VALUE_NIVEAU": 6051.51
}

Record 2AGE: Y_LT30 · GEO: 2025-FRANCE-F

{
  "AGE": "Y_LT30",
  "GEO": "2025-FRANCE-F",
  "SEX": "_T",
  "FREQ": "A",
  "WKTIME": "_T",
  "PCS_ESE": "3",
  "ACTIVITY": "C26T28",
  "QUANTILE": "_T",
  "NUMBER_EMPL": "_T",
  "TIME_PERIOD": "2024",
  "DERA_MEASURE": "SALAIRE_NET_EQTP_MENSUEL_MOYENNE",
  "UNIT_MEASURE": "XDC",
  "OBS_VALUE_NIVEAU": 2913.29
}

Record 3AGE: _T · GEO: 2025-FRANCE-F

{
  "AGE": "_T",
  "GEO": "2025-FRANCE-F",
  "SEX": "_T",
  "FREQ": "A",
  "WKTIME": "_T",
  "PCS_ESE": "3",
  "ACTIVITY": "_T",
  "QUANTILE": "_T",
  "NUMBER_EMPL": "E500T999",
  "TIME_PERIOD": "2024",
  "DERA_MEASURE": "SALAIRE_NET_EQTP_MENSUEL_MOYENNE",
  "UNIT_MEASURE": "XDC",
  "OBS_VALUE_NIVEAU": 5150.31
}

Record 4AGE: Y40T49 · GEO: 2025-FRANCE-F

{
  "AGE": "Y40T49",
  "GEO": "2025-FRANCE-F",
  "SEX": "_T",
  "FREQ": "A",
  "WKTIME": "_T",
  "PCS_ESE": "3",
  "ACTIVITY": "I",
  "QUANTILE": "_T",
  "NUMBER_EMPL": "_T",
  "TIME_PERIOD": "2024",
  "DERA_MEASURE": "SALAIRE_NET_EQTP_MENSUEL_MOYENNE",
  "UNIT_MEASURE": "XDC",
  "OBS_VALUE_NIVEAU": 3324.93
}

Record 5AGE: Y_LT30 · GEO: 2025-FRANCE-F

{
  "AGE": "Y_LT30",
  "GEO": "2025-FRANCE-F",
  "SEX": "M",
  "FREQ": "A",
  "WKTIME": "_T",
  "PCS_ESE": "3",
  "ACTIVITY": "R_S",
  "QUANTILE": "_T",
  "NUMBER_EMPL": "_T",
  "TIME_PERIOD": "2024",
  "DERA_MEASURE": "EFFECTIFS_EQTP",
  "UNIT_MEASURE": "FT",
  "OBS_VALUE_NIVEAU": 6730.61
}

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_PRIVE_ANNUEL

Query examples

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

First 20 observations (dimensions + measures) as JSON.

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Machine-readable & source

JSON

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