Title of statistical activity: Living conditions
Code of statistical activity: 40205
- Metadata update
- Statistical presentation
- Unit of measure
- Reference period
- Institutional mandate
- Release policy
- Frequency of dissemination
- Accessibility and clarity
- Quality management
- Accuracy and reliability
- Timeliness and punctuality
- Coherence and comparability
- Cost and burden
- Data revision
- Statistical processing
1.2. Contact organisation unit An addressable subdivision of an organisation.
Social Statistics and Analysis Department
1.3. Contact name The name of the contact points for the data or metadata.
1.5. Contact mail address The postal address of the contact points for the data or metadata.
51 Tatari Str, 10134 Tallinn, Estonia
1.6. Contact email address E-mail address of the contact points for the data or metadata.
1.7. Contact phone number The telephone number of the contact points for the data or metadata.
+372 625 8482
2.2. Metadata last update Date of last update of the content of the metadata.
3. Statistical presentation
Number of households by structure, county, socio-economic situation of the household, size of the household, kind of dwelling, time of completion of the dwelling, number of rooms per household member, condition of the dwelling, heating facility, useful floor area per household member, availability of running water, sewerage, lavatory, hot running water, washing facilities, distance to the nearest centers, possession of durable goods, possession of savings
Classification of Estonian administrative units and settlements (EHAK)
Estonian Classification of Economic Activities (EMTAK 2008) based on NACE Rev. 2
International Standard Classification of Occupations (ISCO 08)
National Standard Classification of Education (ISCED 2011)
Classification of Ethnicities
International Standard Codes for the Representation of the Names of Countries (ISO 3166)
Codes for the Representation of Names of Languages (ISO 639-2)
3.3. Sector coverage Main economic or other sectors covered by the statistics.
3.4. Statistical concepts and definitions Statistical characteristics of statistical observations.
Adult – a household member aged 18 or more (as of the day of the interview) or a household member who has a partner or children in the household.
Child – a household member aged 0–17 (as of the day of the interview), who does not have a partner or children in the household.
Consumption expenditure – monetary and non-monetary expenditure per household member that is connected with consumption. Consumption expenditures are divided by purpose according to the classification of consumption (COICOP-HBS) developed by Eurostat.
Expenditure decile – the variation line of households divided into ten equal parts. Division points are called decile points and the parts of variation line between them are called decile intervals or deciles. Households whose expenditure is smaller than the first expenditure decile point belong to the first expenditure decile interval, and those whose expenditure exceeds the ninth expenditure decile point belong to the tenth expenditure decile interval, i.e. the extreme expenditure decile intervals are practically open (with one final point).
Expenditures (outgoing) – main indicators of the Household Budget Survey. These expenditures are divided into two: consumption expenditure and other expenditure. Mortgage payments, real estate purchases, financial investments, expenses on major repairs or construction and other investments are not taken into account here.
Head of the household – the household member with the largest long-term contribution to the household’s income.
Household – a group of people who live in a common main dwelling (at the same address) and share joint financial and/or food resources and whose members consider themselves to be one household. Household can also consist of one member only.
Income quintile – the variation line of households (or members of households) divided into five equal parts. Division points are called quintile points and the parts of variation line between them are called quintile intervals or quintiles. Households whose income is smaller than the first income quintile point belong into the first income quintile interval, and those whose income exceeds the fourth income quintile point belong to the fifth income quintile interval, i.e. the extreme income quintile intervals are practically open (with one final point).
Main dwelling – the dwelling where a person spends/has spent, during a longer period,
- most of the year,
- most of the time free from work/studies.
Main dwelling of a legally married or cohabiting person is the dwelling where he/she spends most of the time spent with his/her partner or/and children.
Non-monetary consumption – consumption of non-monetary income and other expenditure converted into monetary value.
Other expenditure – expenditure on donations, monetary gifts, alimonies paid out of household, fines, etc.
Retired household – a non-working and non-unemployed household with at least one non-working old-age pensioner.
Rural settlement – a small town or a village.
Savings – deposits, endowment insurances, stocks and other savings.
Unemployed household – a non-working household with at least one unemployed member aged 15 or more (i.e. who is not working, is looking for a job and is prepared to start working within two weeks).
Urban settlement – a city, a city without municipal status and town.
Working household – a household with at least one working member aged 15 or more.
Households whose usual place of residence is in Estonia, and the members of these households, excluding persons living in institutions (children’s homes, care homes, monasteries, convents, etc.)
The list of permanent residents of Estonia based on the 2011 Population and Housing Census and the population register
Estonia as a whole
Regional units (Northern Estonia, Central Estonia, North-Eastern Estonia, Western Estonia, Southern Estonia)
Urban and rural settlements
3.8. Time coverage The length of time for which data are available.
Number of households
Percentage of households
6. Institutional mandate
DIRECTLY APPLICABLE LEGAL ACTS
Regulation (EC) No 1177/2003 of the European Parliament and of the Council of 16 June 2003 concerning Community statistics on income and living conditions (EU-SILC)
OTHER LEGAL ACTS
8.1. Release calendar The schedule of statistical release dates.
8.2. Release calendar access Access to the release calendar information.
10. Accessibility and clarity
10.1. News release Regular or ad-hoc press releases linked to the data.
Data are published under the subject area “Social life / Households” in the statistical database at http://pub.stat.ee.
10.4. Microdata access Information on whether micro-data are also disseminated.
Public use data files are available free of charge to anybody interested in doing statistical analysis based on microdata:
10.5. Other References to the most important other data dissemination done.
Data serve as input for statistical activity 50101 “Regional development”.
Household Budget Survey. Methodology, Statistics Estonia (2012)
The Estonian Social Survey. Methodological Report, Statistics Estonia (2010)
Data on the quality of the population, sample and respondents are published in the Statistical Database.
11.2. Quality assessment Overall assessment of data quality, based on standard quality criteria.
Ministry of Social Affairs
12.2. User satisfaction Measures to determine user satisfaction.
Since 1996, Statistics Estonia has conducted reputation and user satisfaction surveys.
All results are available on the website at https://www.stat.ee/user-surveys.
12.3. Completeness The extent to which all statistics that are needed are available.
The living conditions for households are published only for private households. There is no statistics on institutional households based on social surveys.
The accuracy of source data is monitored by assessing the methodological soundness of data sources and the adherence to the methodological recommendations.
The type of survey and the data collection methods ensure sufficient coverage and timeliness.
There is under-coverage of persons (and households) in the population register.
Measurement errors may be caused by the questionnaire (the wording of the questions; questionnaire structure), the respondents, the interviewers and the data collection method. Although it is not possible to avoid all such measurement errors in social surveys, Statistics Estonia has tried to limit the amount of these errors as much as possible.
14. Timeliness and punctuality
The data are published 90 days after the end of the reference year ( T+ 90).
The data have been published at the time announced in the release calendar.
15. Coherence and comparability
The Household Budget Survey collects data according to the classification COICOP-HBS developed by Eurostat. The data for Estonia are comparable with the data for countries that use the same classification.
The Household Budget Survey was started in 1995 as a household income and expenditure survey (LSKU). Interview and diary methods were used. First, a questionnaire was filled about the participating households. The income, taxes and expenditure diary and the food expenditure diary were kept by the households for a period of one month. All participating households were interviewed several times; the household was included in the sample every three months.
In 2000, the survey was updated – the sampling design changed, new questions were added to the questionnaire, a follow-up interview was added.
In 2008 and 2009, the survey did not take place.
In 2010, the survey was updated – the sampling design changed, the number of questionnaires and diaries was reduced (only one household questionnaire and one diary, to be kept by the household for two weeks, remained). Retrospective questions regarding major purchases during the preceding 12 months as well as questions about housing costs in the previous month were added to the questionnaire.
The consumption expenditure and living conditions of households are closely related to other statistics in this field. Coherence problems should be taken into account when comparing data relating to similar variables from other sources - Harmonised Index of Consumer Prices, the Estonian Social Survey (ESS) and national accounts.
15.4. Coherence - internal The extent to which statistics are consistent within a given data set.
The outputs of the statistical activity are coherent.
Cost of statistical activity 2.2 thousand euros (data for 2018)
Total time of filling in reports of the statistical activity, working days: 7.8
17.2. Data revision - practice Information on the data revision practice.
18. Statistical processing
Data on percentage of loss of capacity for work (20, 30, etc. up to 100) and on degree of disability (moderate, severe, profound) are received from the Social Insurance Board.
DATA FROM OTHER STATISTICAL ACTIVITIES
Data from statistical activity 40003 “Household Panel Survey” and 40203 “Household Budget Survey” are used.
18.2. Frequency of data collection Frequency with which the source data are collected.
18.3. Data collection Systematic process of gathering data for official statistics.
All households living permanently in Estonia are considered as the survey population. Persons living in institutional households (children’s homes, care homes, convents) are excluded. All published estimates have been calculated for the total population of a respective region. The size of respective populations has been determined on the basis of the estimated total population provided by Statistics Estonia.
The data are collected with statistical activities 40003 “Household Panel Survey” and 40203 “Household Budget Survey”.
Data from Social Insurance Board are received via an FTP-server.
Before data dissemination, the internal coherence of the data is checked.
In the case of missing or unreliable data, estimate imputation based on established regulations is used.
Variables and statistical units which were not collected but which are necessary for producing the output are calculated. New variables are calculated by applying arithmetic conversion to already existing variables. This may be done repeatedly, the derived variable may, in turn, be based on previously derived new variables.
Microdata are aggregated to the level necessary for analysis. This includes aggregating the data according to the classification, and calculating various statistical measures, e.g. average, median, dispersion, etc.
The collected data are converted into statistical output. This includes calculating additional indicators.