Living Conditions: Satisfaction LevelConditions de vie : niveau de satisfaction

Conditions de vie : niveau de satisfactionLiving Conditions: Satisfaction Level

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Annual dataset published by INSEE, the French national statistics institute, providing indicators on individuals' subjective satisfaction with life, drawn from the SRCV (Statistics on Resources and Living Conditions) survey. It covers the national French population and is part of broader living-conditions statistics. The data can be used to analyze self-reported well-being and satisfaction trends over time, supporting social and quality-of-life research.Données annuelles sur la satisfaction subjective des personnes.

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Data schema (18 fields)

Click a field to see example values.

Field	Type	Description
PCS	string	Socio-professional category of the respondent.Socio-professional category of the respondent.
DECILE_NIVVIEDecile nivvie	string	Standard of living decile group of the household.Standard of living decile group of the household.
HLTH_GALIHlth gali	string	Self-reported activity limitation due to health (GALI indicator).Self-reported activity limitation due to health (GALI indicator).
SEX	string	Sex of the respondent.Sex of the respondent.
TSH	string	Weekly working time category of the respondent.Weekly working time category of the respondent.
SRCV_MEASURESrcv measure	string	Type of satisfaction indicator measured.Type of satisfaction indicator measured.
HLTH_SPHHlth sph	string	Self-perceived general health status.Self-perceived general health status.
EDUC	string	Highest level of education attained.Highest level of education attained.
TPH	string	Household or family type of the respondent.Household or family type of the respondent.
GEOTerritory	string	Geographic area and reference year of the survey.Geographic area and reference year of the survey.
NB_DIFFNb diff	string	Number of difficulties reported by the respondent.Number of difficulties reported by the respondent.
SATISFNOTE	string	Satisfaction score or rating category given by the respondent.Satisfaction score or rating category given by the respondent.
NATIONALITY_TYPENationality type	string	Nationality category of the respondent.Nationality category of the respondent.
FREQFrequency	string	Frequency of data collection, here annual.Frequency of data collection, here annual.
EMPSTA_ENQEmpsta enq	string	Employment status of the respondent at time of survey.Employment status of the respondent at time of survey.
TIME_PERIODPeriod	string	Year to which the observation refers.Year to which the observation refers.
AGE	string	Age group of the respondent.Age group of the respondent.
OBS_VALUE_NIVEAUValue	number	Average satisfaction score for the given category.Average satisfaction score for the given category.

Schema captured from melodi 7 days ago.

Query the data

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Sample data (5 records)

Record 1AGE: Y16T24 · GEO: 2026-FRANCE-F_X_D976

{
  "AGE": "Y16T24",
  "GEO": "2026-FRANCE-F_X_D976",
  "PCS": "_Z",
  "SEX": "_T",
  "TPH": "_T",
  "TSH": "_T",
  "EDUC": "_T",
  "FREQ": "A",
  "NB_DIFF": "_T",
  "HLTH_SPH": "_T",
  "HLTH_GALI": "_T",
  "EMPSTA_ENQ": "_T",
  "SATISFNOTE": "_T",
  "TIME_PERIOD": "2022",
  "SRCV_MEASURE": "VIESATISF",
  "DECILE_NIVVIE": "_T",
  "NATIONALITY_TYPE": "_T",
  "OBS_VALUE_NIVEAU": 7.7
}

Record 2AGE: Y25T34 · GEO: 2026-FRANCE-F_X_D976

{
  "AGE": "Y25T34",
  "GEO": "2026-FRANCE-F_X_D976",
  "PCS": "_Z",
  "SEX": "_T",
  "TPH": "_T",
  "TSH": "_T",
  "EDUC": "_T",
  "FREQ": "A",
  "NB_DIFF": "_T",
  "HLTH_SPH": "_T",
  "HLTH_GALI": "_T",
  "EMPSTA_ENQ": "_T",
  "SATISFNOTE": "_T",
  "TIME_PERIOD": "2022",
  "SRCV_MEASURE": "VIESATISF",
  "DECILE_NIVVIE": "_T",
  "NATIONALITY_TYPE": "_T",
  "OBS_VALUE_NIVEAU": 7.2
}

Record 3AGE: Y35T49 · GEO: 2026-FRANCE-F_X_D976

{
  "AGE": "Y35T49",
  "GEO": "2026-FRANCE-F_X_D976",
  "PCS": "_Z",
  "SEX": "_T",
  "TPH": "_T",
  "TSH": "_T",
  "EDUC": "_T",
  "FREQ": "A",
  "NB_DIFF": "_T",
  "HLTH_SPH": "_T",
  "HLTH_GALI": "_T",
  "EMPSTA_ENQ": "_T",
  "SATISFNOTE": "_T",
  "TIME_PERIOD": "2022",
  "SRCV_MEASURE": "VIESATISF",
  "DECILE_NIVVIE": "_T",
  "NATIONALITY_TYPE": "_T",
  "OBS_VALUE_NIVEAU": 7.1
}

Record 4AGE: Y50T64 · GEO: 2026-FRANCE-F_X_D976

{
  "AGE": "Y50T64",
  "GEO": "2026-FRANCE-F_X_D976",
  "PCS": "_Z",
  "SEX": "_T",
  "TPH": "_T",
  "TSH": "_T",
  "EDUC": "_T",
  "FREQ": "A",
  "NB_DIFF": "_T",
  "HLTH_SPH": "_T",
  "HLTH_GALI": "_T",
  "EMPSTA_ENQ": "_T",
  "SATISFNOTE": "_T",
  "TIME_PERIOD": "2022",
  "SRCV_MEASURE": "VIESATISF",
  "DECILE_NIVVIE": "_T",
  "NATIONALITY_TYPE": "_T",
  "OBS_VALUE_NIVEAU": 6.8
}

Record 5AGE: Y65T74 · GEO: 2026-FRANCE-F_X_D976

{
  "AGE": "Y65T74",
  "GEO": "2026-FRANCE-F_X_D976",
  "PCS": "_Z",
  "SEX": "_T",
  "TPH": "_T",
  "TSH": "_T",
  "EDUC": "_T",
  "FREQ": "A",
  "NB_DIFF": "_T",
  "HLTH_SPH": "_T",
  "HLTH_GALI": "_T",
  "EMPSTA_ENQ": "_T",
  "SATISFNOTE": "_T",
  "TIME_PERIOD": "2022",
  "SRCV_MEASURE": "VIESATISF",
  "DECILE_NIVVIE": "_T",
  "NATIONALITY_TYPE": "_T",
  "OBS_VALUE_NIVEAU": 6.9
}

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_SRCV_SATISFACTION

Query examples

curl -s 'https://api.insee.fr/melodi/data/DS_SRCV_SATISFACTION?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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