Long time series on private-sector wagesSéries longues de salaires dans le secteur privé

Séries longues de salaires dans le secteur privéLong time series on private-sector wages

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This API provides access to long time series data on net wages in the French private sector, published by INSEE, the national statistics institute. It covers full-time equivalent net wages dating back to 1951, and figures for all working-time volumes (converted to full-time equivalent) from 1996 onward. Data is broken down by several variables, including sex, age, and sector of activity. It is intended for national-level analysis of wage trends and structural differences within the private sector over an extended historical period.Salaires nets dans le secteur privé depuis 1951 (pour les temps complets) ou 1996 (pour tous volumes de travail, convertis en équivalent temps plein), ventilés 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 and reference version for the data.Geographic area code and reference version for the data.
NUMBER_EMPLNumber empl	string	Category code for company size by number of employees.Category code for company size by number of employees.
QUANTILE	string	Wage distribution quantile category (e.g. median, deciles).Wage distribution quantile category (e.g. median, deciles).
SEX	string	Sex of the employees covered by the record.Sex of the employees covered by the record.
FREQFrequency	string	Frequency of the data, e.g. annual.Frequency of the data, e.g. annual.
TIME_PERIODPeriod	string	Reference year of the observation.Reference year of the observation.
UNIT_MEASUREUnit	string	Unit of measurement used for the observed value.Unit of measurement used for the observed value.
WKTIME	string	Working time category, e.g. full-time or all volumes.Working time category, e.g. full-time or all volumes.
DERA_MEASUREDera measure	string	Code identifying the specific wage measure calculated.Code identifying the specific wage measure calculated.
PCS_ESEPcs ese	string	Occupational and socio-professional category code.Occupational and socio-professional category code.
ACTIVITY	string	Economic activity sector code of employment.Economic activity sector code of employment.
AGE	string	Age group category of the employees.Age group category of the employees.
OBS_VALUE_NIVEAUValue	number	Numeric value of the observed wage level.Numeric value of the observed wage level.

Schema captured from melodi 45 minutes ago.

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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": "FT",
  "PCS_ESE": "_T",
  "ACTIVITY": "_T",
  "QUANTILE": "_T",
  "NUMBER_EMPL": "_T",
  "TIME_PERIOD": "1961",
  "DERA_MEASURE": "SALAIRE_NET_EQTP_MENSUEL_MOYEN_EUROS_CONSTANTS",
  "UNIT_MEASURE": "XDC",
  "OBS_VALUE_NIVEAU": 816
}

Record 2AGE: _T · GEO: 2025-FRANCE-F

{
  "AGE": "_T",
  "GEO": "2025-FRANCE-F",
  "SEX": "M",
  "FREQ": "A",
  "WKTIME": "FT",
  "PCS_ESE": "_T",
  "ACTIVITY": "_T",
  "QUANTILE": "_T",
  "NUMBER_EMPL": "_T",
  "TIME_PERIOD": "1952",
  "DERA_MEASURE": "SALAIRE_NET_EQTP_MENSUEL_MOYEN_EUROS_CONSTANTS",
  "UNIT_MEASURE": "XDC",
  "OBS_VALUE_NIVEAU": 826
}

Record 3AGE: _T · GEO: 2025-FRANCE-F

{
  "AGE": "_T",
  "GEO": "2025-FRANCE-F",
  "SEX": "M",
  "FREQ": "A",
  "WKTIME": "FT",
  "PCS_ESE": "_T",
  "ACTIVITY": "_T",
  "QUANTILE": "_T",
  "NUMBER_EMPL": "_T",
  "TIME_PERIOD": "1973",
  "DERA_MEASURE": "SALAIRE_NET_EQTP_MENSUEL_MOYEN_EVOLUTION_CONSTANT",
  "UNIT_MEASURE": "PT",
  "OBS_VALUE_NIVEAU": 4.75
}

Record 4AGE: _T · GEO: 2025-FRANCE-F

{
  "AGE": "_T",
  "GEO": "2025-FRANCE-F",
  "SEX": "F",
  "FREQ": "A",
  "WKTIME": "_T",
  "PCS_ESE": "_T",
  "ACTIVITY": "C26T28",
  "QUANTILE": "_T",
  "NUMBER_EMPL": "_T",
  "TIME_PERIOD": "2022",
  "DERA_MEASURE": "SALAIRE_NET_EQTP_MENSUEL_MOYEN_INDICE_100_1996",
  "UNIT_MEASURE": "IX",
  "OBS_VALUE_NIVEAU": 146.25
}

Record 5AGE: _T · GEO: 2025-FRANCE-F

{
  "AGE": "_T",
  "GEO": "2025-FRANCE-F",
  "SEX": "M",
  "FREQ": "A",
  "WKTIME": "_T",
  "PCS_ESE": "_T",
  "ACTIVITY": "G",
  "QUANTILE": "_T",
  "NUMBER_EMPL": "_T",
  "TIME_PERIOD": "1996",
  "DERA_MEASURE": "SALAIRE_NET_EQTP_MENSUEL_MOYEN_INDICE_100_1996",
  "UNIT_MEASURE": "IX",
  "OBS_VALUE_NIVEAU": 100
}

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_SERIES_LONGUES

Query examples

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

First 20 observations (dimensions + measures) as JSON.

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