Social Survey 2010
Estonia, 2010
Identification
EST_2010_ESS-C_v01_M
Social Survey 2010
Cross-Sectional Database
| Name | Country code |
|---|---|
| Estonia | EST |
Socio-Economic/Monitoring Survey [hh/sems]
The goal of Estonian Social Survey (ESS) is to measure the income and living conditions of Estonians, and through them the problematic areas of the society - poverty, inequality and social exclusion. The survey offers a possibility to measure such complex social processes as persistent poverty and the various levels of deprivation. In Estonia, ESS is the official source of income statistics and social exclusion indicators.
ESS is the Estonian branch of a pan-European survey of income and living conditions called the EU-SILC (European Union (EU) Statistics on Income and Living Conditions) coordinated by the Statistical Office of the European Communities Eurostat. Statistics Estonia collects data within the framework of EU-SILC, domestically called the Estonian Social Survey, on the basis of Regulation (EC) No 1177/2003 of the European Parliament and of the Council. This means that the survey is co-financed from the EU budget and Estonia has an obligation to transmit the survey data to Eurostat following the methodology that Eurostat has set up and by the deadlines fixed in corresponding contracts. The EU-SILC survey is carried out based on a common methodology in all EU countries and in Iceland, Norway, Switzerland and Turkey, allowing for the publication of internationally comparable statistics on poverty, inequality and income. In addition to the input for Eurostat's variables, many questions from Estonian domestic consumers are included in ESS. Estonian domestic databases are also compiled based on the results of this survey and are every year delivered to domestic contractual users. The ESS data are used by Estonian educational institutions (universities, institutes) and ministries (mainly the Ministry of Social Affairs).
ESS is the first and currently the only panel survey in Estonia. Two kinds of databases are compiled from the survey results. The data from one given survey year is assembled in cross-sectional files, which provide a look into the incomes earned and the living conditions of the residents of Estonia in that year. Several years' data is compiled into longitudinal files which can be used to study changes occurring in the society at the level of the same sample households.
The cross-sectional data for 2010 is documented here.
Sample survey data [ssd]
- Households;
- Individuals.
Scope
The scope of the Estonian Social Survey 2010 includes:
-
Household:
· The household members’ general data (gender, age, etc.);
· The household structure, i.e. the relations between household members;
· The demographic indicators of household members (ethnic nationality, citizenship, country of birth) and socio-economic status;
· The time the household’s children spend in school, in kindergarten or on hobby activities, and the type of day care used for children;
· General information about the household’s dwelling and its terms of use;
· Amenities in the dwelling and problems related to the dwelling;
· Accessibility of consumer durables;
· Existence and information about loans, and financial restrictions imposed by loans;
· Cost of rent and utilities, arrears and financial restrictions stemming therefrom;
· Income from social benefits, rent of property, support from non-state organisations or other households, and incomes earned by children;
· Alimony paid and other support to other households;
· Tax on land paid;
· Household’s possibility to afford larger expenses (e.g. travelling);
· Households’ arrears;
· Evaluation of one’s own subsistence and necessary finances with which household could make ends meet;
· Production of agricultural products for own consumption, picking mushrooms and berries, etc. -
Personal:
· Highest education obtained and current studies;
· Main and secondary job and volunteer work;
· Last job and search for a job;
· Current socio-economic status and the socio-economic status each month during the previous year;
· Monetary and non-monetary income from wage labour;
· Income from registered and unregistered entrepreneurship;
· Property income from bonds, shares and savings and entering insurance schemes;
· Social benefits received (old-age, disability, unemployment and sickness benefits, study allowances and other benefits);
· Taxes paid on income;
· Health status and accessibility of medical care;
· Height and weight.
Coverage
National
Producers and sponsors
| Name |
|---|
| Statistics Estonia |
| Name |
|---|
| Statistics Estonia |
| Eurostat |
| Name |
|---|
| Statistical Office of the European Communities Eurostat |
Sampling
ESS is a sample survey and thus the population is evaluated on the basis of the data collected from the sample. Proceeding from the aims of ESS, both cross-sectional statistical data pertaining to a given time and longitudinal statistical data pertaining to changes that have taken place over years need to be collected. Accordingly, ESS has been designed as a longitudinal sample survey using sample design with sub-samples or panels independent of one another. Every new panel is taken from the sampling frame by stratified systematic sampling, consequently being probability sample. The sample design is based on Eurostat's requirements and recommendations, the aim of which is to ensure that the estimations comply with a definite precision level and to guarantee the international comparability of surveys. In what follows, a more detailed description of the sample design is given.
In order to calculate the population parameter estimations on the basis of survey data, a weight should be assigned to every object of the sample i.e. it should be indicated how many elements of the population the object represents in the sample. For ESS, both persons and households are weighted. Weights are calculated both for cross-sectional and longitudinal data. The sub-samples or panels are weighted independently and combined thereafter. The used weighting is governed by the procedures worked out for EU-SILC.
The weights are calculated on the basis of design weights derived from inclusion probabilities. The weights, which are first adjusted to compensate for the bias caused by non-response, and then calibrated to the population data, are used in calculating the final data. In the first years of the survey, post-stratification was used to compensate for nonresponse.
Survey instrument
The survey is comprised of the household and personal interviews, conducted by using two different questionnaires: the household questionnaire and the personal questionnaire. The household interview is carried out with a grown-up household member who knows the household the best. Personal questionnaires are filled out for all household members aged 15 or more.
Data collection
| Start | End |
|---|---|
| 2010-02-01 | 2010-05-31 |
| Name |
|---|
| Statistics Estonia |
Data Access
| Name |
|---|
| Statistics Estonia |
The dataset was published as a Public Use File at Statistics Estonia website - http://www.stat.ee/51930
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
Statistics Estonia. Estonian Social Survey 2010, Cross-Sectional Database. Ref. EST_2010_ESS-C_v01_M. Dataset downloaded from [URL] on [date].
Disclaimer and copyrights
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Contacts
| Name | URL | |
|---|---|---|
| Statistics Estonia | stat@stat.ee | www.stat.ee |
Metadata production
DDI_EST_2010_ESS-C_v01_M_WB
| Name | Affiliation | Role |
|---|---|---|
| Development Data Group | The World Bank | Documentation of the DDI |
2014-03-18
Metadata version
Version 01 (March 2014)