On 31 January Central Statistical Bureau of Latvia (CSB) will start collecting European Union Statistics on Income and Living Conditions (EU-SILC). EU-SILC is collected every year, and in 2023 the survey will cover about eight thousand households (out of 825 thousand) selected with a random sampling method. Respondents will be asked about household composition, social and economic characteristics of household members as well as housing conditions, income, self-perceived health status, social exclusion, and material deprivation.
This year EU-SILC is focused on labour market, intergenerational transmission of advantages and disadvantages as well as housing (housing difficulties, energy efficiency, etc.).
Only recipients of the CSB invitational letter are asked to take part in the survey. E-survey will be available on the CSB website https://e.csp.gov.lv from 31 January to 20 February. In case of any questions or uncertainties, please contact the CSB consultant by calling to the toll-free assistance number +371 80008811 on weekdays from 10.00 to 18.00 o’clock or by writing to the e-mail address email@example.com.
This year participation in the survey has major importance as the results acquired will help to evaluate well-being of households and individuals in 2022, especially the impact of the COVID-19 pandemic and other geopolitical processes. The information collected will be extensively used by state and local authorities when making decisions that affect everyday life of the inhabitants. Therefore, responsiveness and cooperation of the respondents are significant to get accurate and fair insight into the life of the population.
CSB is obliged to ensure protection and confidentiality of the data respondents provide. The information acquired will only be published in a summarised form.
If due to any reason respondent is not able to complete electronic questionnaire, he/she will be contacted by a CSB interviewer by phone or face-to-face during the period from 16 March to 30 June. In 2023 face-to-face interviews will be conducted only in the case the epidemiological situation allows. Respondents will be informed about the planned date of the interview as well as will receive contacts of the interviewer in a CSB letter. Upon arrival, interviewer will present a CSB employee identification card with a photo.
Key results of EU-SILC 2022
- In 2021, compared to 2020, household disposable income grew by 7.6 % and reached EUR 678 per household member monthly. The increase was slower than that recorded in 2020 (8.1 %).
- In 2021 monthly income per one household member in the poorest households (those belonging to the first quintile group) accounted for EUR 232, while in the richest households (fifth quintile group) for EUR 1 475.
- Compared to 2020, in 2021 the sharpest income upturn was registered in the households belonging to the second quintile group (12.1 %), followed by those in third (12.1 %) and fourth (11.1 %). In 2021 disposable income per household member constituted EUR 412 monthly in the second quintile group, EUR 570 in third and EUR 801 in fourth.
- Income inequality is also decreasing as the income of the richest households (belonging to the fifth quintile group) rises. However, in 2021 the income of the richest population was 6.3 times higher than that of the poorest (which is 0.3 times lower than in 2020). Gini coefficient, at the same time, accounted for 34.3 %, which is 1.4 percentage points fewer than in 2020.
- In 2021, 418 thousand people in Latvia (22.5 % of the total population) were at risk of poverty, which is 0.9 percentage points fewer than in 2020.
About the survey
EU-SILC is collected in all EU countries based on common methodology. It aims at producing comparable information on various aspects influencing households and welfare of individuals.
More survey results are available on the official statistics portal:
Poverty and inequality (EU-SILC)
Private households and families
Self-perceived health and health-related habits
Quality of life
Information and Communication Section
Phone: +371 67366621, +371 27880666
More information on data:
Social Statistics Methodology Section
Phone: +371 67366901