Composition of households (EU-SILC survey)
EU Statistics on Income and Living Conditions (EU-SILC) survey also provides information on composition of households – breakdown of households by number of persons, by number of children, by households' demographic type, by income quintile groups, structure of households by activity status, age and gender.
Terms and definitions
Person under the age of 18.
Private household (household)
Several persons living in one dwelling and sharing expenditures or one person having separate housekeeping.
One fifth (20%) of the number of surveyed households grouped in increasing sequence according to the disposable income per one household member.
Data collection and statistical processing
Survey method and data source
Composition of households data are acquired with the help of Community Statistics on Income and Living Conditions (EU-SILC). One of the main study objects of the EU-SILC is annual income of a household – their composition and level.
In order to acquire information four questionnaires were developed: Household Register, Household Questionnaire Form and Individual Questionnaire Form. Each questionnaire has its own aim and information in each questionnaire does not overlap with information in other forms. Fourth form is a module questionnaire that each year aims at researching different theme.
Household Register is questionnaire, which includes general information on each household member. It is mainly demographic information on persons living in the household, as well as on those persons, who have left the household.
Household Questionnaire Form includes questions concerning the household generally. It includes following questions: housing and housing conditions, housing costs, economic situation of the household, total household income, inter-household transfers and agricultural production in household.
Individual Questionnaire Form is filled in on each household member aged 16 and over. It includes questions on employment, income, education and health.
Survey is based also on data of the State Revenue Service on natural persons/taxpayers and State Social Insurance Agency data on state pensions and benefits.
The basic unit of EU-SILC survey is persons living in private households. Survey does not include collective households (old peoples’ homes, boarding schools for disabled children, student hostels, hotels, barracks, hospitals, sanatoriums, prisons, etc.).
During the survey information was obtained on whole household as well as on each household member aged 16 and over. Households belonging to longitudinal section are surveyed for several years (maximum 4 years). In Latvia four-year rotation panel is used and all household members, who in the first survey year were at age of at least 14, are sample respondents.
|Year||Sample size of EU-SILC||Completed questionnaire sets||Individual interviews (persons)||Non-response rate|
|2019||7 799||5 279||9 578||32.3%|
|2018||7 972||5 833||10 785||26.8%|
|2017||8 087||6 014||11 304||25.6%|
|2016||8 022||6 042||11 637||24.7%|
|2015||8 008||6 113||11 726||23.7%|
|2014||8 209||6 125||11 929||25.4%|
|2013||8 510||6 309||12 442||25.9%|
|2012||8 572||6 499||12 964||24.2%|
|2011||8 463||6 599||13 503||22.0%|
|2010||8 151||6 255||12 999||23.3%|
|2009||7 610||5 797||12 207||23.8%|
|2008||7 042||5 196||10 910||26.2%|
|2007||6 717||4 471||9 270||33.4%|
|2006||6 018||4 315||9 071||28.3%|
|2005||5 813||3 843||7 913||33.9%|
EU-SILC data are extrapolated on all private household and household members living in these households. Weighting process includes application of design weights, which are corrected by actual response rate. Additional data are calibrated by population sex and age.
In the survey Community Statistics on Income and Living Conditions (EU-SILC) following classifications are used:
- International Standard Classification of Occupations (ISCO-08);
- Statistical Classification of Economic Activities (NACE Rev. 2);
- International Standard Classification of Education (ISCED).
Contact person on methodology
Central Statistical Bureau Social Statistics Department