Living Conditions: Trust in OthersConditions de vie : confiance envers les autres

Conditions de vie : confiance envers les autresLiving Conditions: Trust in Others

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Annual dataset published by INSEE, the French national statistics institute, measuring the level of trust that individuals express toward people they do not know. Part of the SRCV (Statistics on Income and Living Conditions) survey series, it provides indicators on social trust as a dimension of living conditions in France at national scale. The data can be used to track changes over time in interpersonal trust and to support social cohesion and well-being research.Données annuelles sur le niveau de confiance envers les personnes inconnues.

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Data schema (17 fields)

Click a field to see example values.

Field	Type	Description
PCS	string	Socio-professional category code of the respondent.Socio-professional category code 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	Breakdown by self-reported long-standing activity limitation status.Breakdown by self-reported long-standing activity limitation status.
SEX	string	Sex of the respondent.Sex of the respondent.
TSH	string	Household employment rate category code.Household employment rate category code.
SRCV_MEASURESrcv measure	string	Code identifying the survey indicator being measured.Code identifying the survey indicator being measured.
HLTH_SPHHlth sph	string	Breakdown by self-perceived general health status.Breakdown by self-perceived general health status.
EDUC	string	Educational attainment level of the respondent.Educational attainment level of the respondent.
TPH	string	Household work intensity category code.Household work intensity category code.
GEOTerritory	string	Geographic area code for the observation.Geographic area code for the observation.
NB_DIFFNb diff	string	Breakdown by number of reported difficulties.Breakdown by number of reported difficulties.
NATIONALITY_TYPENationality type	string	Nationality category of the respondent.Nationality category of the respondent.
FREQFrequency	string	Frequency of the observation, e.g. annual.Frequency of the observation, e.g. annual.
EMPSTA_ENQEmpsta enq	string	Employment status of the respondent at the survey.Employment status of the respondent at the survey.
TIME_PERIODPeriod	string	Year the observation refers to.Year the observation refers to.
AGE	string	Age group of the respondent.Age group of the respondent.
OBS_VALUE_NIVEAUValue	number	Measured value of trust level in others.Measured value of trust level in others.

Schema captured from melodi 9 hours 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",
  "TIME_PERIOD": "2022",
  "SRCV_MEASURE": "CONFIANCE",
  "DECILE_NIVVIE": "_T",
  "NATIONALITY_TYPE": "_T",
  "OBS_VALUE_NIVEAU": 3.7
}

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",
  "TIME_PERIOD": "2022",
  "SRCV_MEASURE": "CONFIANCE",
  "DECILE_NIVVIE": "_T",
  "NATIONALITY_TYPE": "_T",
  "OBS_VALUE_NIVEAU": 4
}

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",
  "TIME_PERIOD": "2022",
  "SRCV_MEASURE": "CONFIANCE",
  "DECILE_NIVVIE": "_T",
  "NATIONALITY_TYPE": "_T",
  "OBS_VALUE_NIVEAU": 4.2
}

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",
  "TIME_PERIOD": "2022",
  "SRCV_MEASURE": "CONFIANCE",
  "DECILE_NIVVIE": "_T",
  "NATIONALITY_TYPE": "_T",
  "OBS_VALUE_NIVEAU": 4.2
}

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",
  "TIME_PERIOD": "2022",
  "SRCV_MEASURE": "CONFIANCE",
  "DECILE_NIVVIE": "_T",
  "NATIONALITY_TYPE": "_T",
  "OBS_VALUE_NIVEAU": 4.2
}

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_CONFIANCE

Query examples

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

First 20 observations (dimensions + measures) as JSON.

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