SRCV : Statistics on Income and Living Conditions - 2023
Data description
The European Union Statistics on Income and Living Conditions (EU-SILC) is an annual instrument aiming at collecting timely and comparable cross-sectional and longitudinal multidimensional microdata on income, poverty, social exclusion and living conditions. This instrument is anchored in the European Statistical System (ESS). The SRCV survey (Statistiques sur les ressources et conditions de vie) is the French component of EU-color-rgb(23,25,28)SILC.color-rgb(23,25,28) In addition to the annual questionnaire, are collected thematic module variables every three year, six year or ad-hoc new ponctual needs modules.
The EU-SILC instrument provides two types of data:
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Cross-sectional data pertaining to a given time or a certain time period with variables on income, poverty, social exclusion and other living conditions
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Longitudinal data pertaining to individual-level changes over time, observed periodically over four year rotation scheme
Social exclusion and housing condition information is collected mainly at household level while labour, education and health information is obtained at individual level for persons aged 16 and over. The core of the instrument, income at very detailed component level, is collected according to the type of income, at the household or individual level. Income amounts are generally not requested, as the survey is enriched with social and fiscal administrative sources after collection.
Sector coverage
Data refer to all private households and individuals living in the private households in the national territory at the time of datacollection.
The EU-SILC survey is a key instrument for the European Semester and the European Pillar of Social Rights, providing informationon income distribution, poverty and social exclusion, as well as various related living conditions and poverty EU policies, such as onchild poverty, access to health care and other services, housing, over indebtedness and quality of life. It is also the main source ofdata for microsimulation purposes and flash estimates of income distribution and poverty rates.
Statistical unit
Person living in ordinary housing
Statistical population
Data refers to all private households and individuals living in "ordinary" dwellings in the metropolitan France at the time of data collection.
The scope of the SILC survey is all individuals in a household occupying, at the time of the survey, a so-called "ordinary" dwelling whose residence is located in metropolitan France (Excluding Mayotte).
Thus, populations living in communities (hospitals, schools, religious communities, etc.) are not included in the scope of the survey.
Reference area
France hors Mayotte
The reference year for incomes is N-1.
Comparability - geographical
The sample size of the EU-SILC survey, around 17,000 respondent households in France, and the number of NUTS2 regions, 26 (22 regions in metropolitan France and 4 overseas departments), 11 of which have fewer than 500 respondents, make it impossible to calculate reliable poverty indicators keeping only observations for each region. This is why INSEE has developed a small area estimation method, which provide microdata (weights) for each region, allowing the calculation of poverty rates (and AROPE indicators) at a regional level. With this method, all the observations in the database are used for each region. So, to calculate the regional indicators,it is important not to filter only on the observations from one region.
From FR-SILC 2022 onwards, the variables RB051_XXXX (with XXXX the NUTS2 or NUTS1 region identifier) contain regional weights calculated using a small area estimation method. These variables are provided in European datasets.
Comparability - over time and CC2. Length of comparable time series for U
A significant series break took place in 2020 following the redesign of the system the year before the implementation of the IESS Regulation.
In 2023, the material deprivation question HD080 (Replacing worn-out furniture) was changed to distinguish households with adeprivation for financial reasons from households with a deprivation for other reasons. In order to avoid a break in the material andsocial deprivation indicator (and the AROPE) in 2023, INSEE has provided the variable HD080 backcast from 2020 to 2022 (in July 2024).
Source data
The French data are taken from the statistics on income and living conditions (SILC): the majority of the data are taken from the SILC survey. The amounts for income and social security benefits are then obtained by matching with administrative data (taken from tax and social security sources).
Data compilation
In 2020, the FR-SILC survey was redesigned, in order to comply with the IESS regulation.
The whole statistical processing and editing chain has been rewritten (from SAS to R). The new weighting and imputation procedures are described.
- 2023 SRCV Weighting procedure (docx, en)
- 2023 SRCV Estimation and Imputation (pdf, en)
- 2023 SRCV Quality report (en)
Sample size
The sample size of the SRCV survey is approximately 17,000 respondent households in France, i.e. 37,800 individuals over the age of 16
Data collection documents
The SRCV 2023 questionnaire is below:
- Questionnaire SRCV 2023_EN (pdf, en)
The reference document for methodology is "Methodological guidelines and description of EU-SILC target variables" published by Eurostat.
- 2023 Methodological guidelines (pdf, en)