Identification
Survey ID Number
LTU_2011_EU-SILC_v01_M_v01_A_PUF
Title
European Union, Survey of Income and Living Conditions 2011 – Public Use File
Country
| Name | Country code |
|---|---|
| Lithuania | LTU |
Study type
Other Household Survey [hh/oth]
Series Information
The Survey of Income and Living Conditions (EU-SILC) is the European Union reference source for comparative statistics on income distribution and social exclusion at the European level, particularly in the context of the 'Programme of Community action to encourage cooperation between member states to combat social exclusion' and for producing key policy indicators on social cohesion for the follow up of the EU2020 main target on poverty and social inclusion and flagship initiatives in related domains, e.g. in the context of the European Semester. It provides two types of annual data:
1) Cross-sectional data pertaining to a given time or a certain time period with variables on income, poverty, social exclusion and other living conditions, and
2) Longitudinal data pertaining to individual-level changes over time, observed periodically over a four-year period.
The first priority is to be given to the delivery of comparable, timely and high quality data. The cross-sectional data is collected in two stages: An early subset of variables collected by register or interview to assess as early as possible poverty trends. A full set of variables provided along with the longitudinal data to produce main key policy indicators on social cohesion.
1) Cross-sectional data pertaining to a given time or a certain time period with variables on income, poverty, social exclusion and other living conditions, and
2) Longitudinal data pertaining to individual-level changes over time, observed periodically over a four-year period.
The first priority is to be given to the delivery of comparable, timely and high quality data. The cross-sectional data is collected in two stages: An early subset of variables collected by register or interview to assess as early as possible poverty trends. A full set of variables provided along with the longitudinal data to produce main key policy indicators on social cohesion.
Abstract
The 2011 Survey of Income and Living Conditions (EU-SILC) provides Statistics on income, social inclusion and living conditions cover objective and subjective aspects of these themes in both monetary and non-monetary terms for both households and individuals. They are used to monitor the Europe 2020 strategy, in particular through its poverty reduction headline target.
The main source for the compilation of statistics on income, social inclusion and living conditions is the EUStatistics
on Income and Living Conditions (EU-SILC) instrument. It collects comparable multidimensional micro-data on:
(a) income
(b) poverty
(c) social exclusion
(d) housing
(e) labour
(f) education
(g) health
The main source for the compilation of statistics on income, social inclusion and living conditions is the EUStatistics
on Income and Living Conditions (EU-SILC) instrument. It collects comparable multidimensional micro-data on:
(a) income
(b) poverty
(c) social exclusion
(d) housing
(e) labour
(f) education
(g) health
Kind of Data
Sample survey data [ssd]
Version
Version Description
Version 01
Scope
Notes
The scope of the study includes:
- Household composition;
- Dwelling and living conditions;
- Household expenditures;
- Basic needs for all household children;
- Social transfers and family benefits;
- Agricultural activity;
- Economic activity, employment and unemployment;
- Income;
- Health status.
- Household composition;
- Dwelling and living conditions;
- Household expenditures;
- Basic needs for all household children;
- Social transfers and family benefits;
- Agricultural activity;
- Economic activity, employment and unemployment;
- Income;
- Health status.
Coverage
Geographic Coverage
National
Geographic Unit
Cities and settlements
Universe
The survey covered all household members over 16 years old. Persons living in collective households and in institutions are generally excluded from the target population.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Statistics Lithuania | Government of Lithuania |
Funding Agency/Sponsor
| Name |
|---|
| European Commission |
Sampling
Sampling Procedure
European Union, Survey of Income and Living Conditions 2011 survey was designed using a stratified simple random sample. Concerning the sampling unit, households are drawn from the Lithuanian Resident Registry, which is updated regularly. All members of the household aged 16 and over at the end of the income reference period are eligible for inclusion in the sample. For more detailed information please refer to the Methodology - Sampling documents, found under the 'Documentation' tab.
The minimum effective sample sizes for Lithuania are as follows:
- Cross sectional survey
- Households: 4,000
- Individuals: 9,000
- Longitudinal survey
- Households: 3,000
- Individuals: 6,750
The minimum effective sample sizes for Lithuania are as follows:
- Cross sectional survey
- Households: 4,000
- Individuals: 9,000
- Longitudinal survey
- Households: 3,000
- Individuals: 6,750
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2011 | 2011 |
Data Collection Mode
Face-to-face [f2f]
Data Appraisal
Estimates of Sampling Error
Given the high policy relevance of EU-SILC there is increasing demand from the stakeholders for accuracy measures of the published indicators and for measures of the significance of net change of indicators over time for correct monitoring of the evolution of social exclusion phenomena. As seen, EU-SILC is a complex survey involving different sampling design in different countries. For this reason, "to the book" standard methods for calculating accuracy measures are not directly applicable. Eurostat with the substantial contribution of Net-SILC2 has put in place a simple method for standard error estimation based on linearization and coupled with the ultimate cluster approach. Linearization is a technique based on the use of linear approximation to reduce non-linear statistics to a linear form, justified by asymptotic properties of the estimator. This technique can encompass a wide variety of indicators, including EU-SILC indicators. The "ultimate cluster" approach is a simplification consisting in calculating the variance taking into account only variation among Primary Sampling Unit (PSU) totals. This method requires first stage sampling fractions to be small which is nearly always the case. This method allows a great flexibility and simplifies the calculations of variances. It can also be generalized to calculate variance of the differences of one year to another.
For further details on this method for standard error estimation, please consult the working paper Standard error estimation for the EU-SILC indicators (https://ec.europa.eu/eurostat/en/web/products-statistical-working-papers/-/KS-RA-13-024).
For further details on this method for standard error estimation, please consult the working paper Standard error estimation for the EU-SILC indicators (https://ec.europa.eu/eurostat/en/web/products-statistical-working-papers/-/KS-RA-13-024).
Access policy
Contacts
| Name | Affiliation | |
|---|---|---|
| Statistics Lithuania | Government of Lithuania | info@stat.gov.lt |
Citation requirements
The use of the datasets must be acknowledged using a citation which would include:
- the identification of the Primary Investigator (including country name)
- the full title of the survey and its acronym (when available), and the year(s) of implementation
- the survey reference number
- the source and date of download (for datasets disseminated online)
Example:
Statistics Lithuania. European Union, Survey of Income and Living Conditions 2011 – Public Use File (EU-SILC) 2011, Ref.LTU_2011_EU-SILC_v01_M_v01_A_PUF. Dataset downloaded from [URL] on [date].
- the identification of the Primary Investigator (including country name)
- the full title of the survey and its acronym (when available), and the year(s) of implementation
- the survey reference number
- the source and date of download (for datasets disseminated online)
Example:
Statistics Lithuania. European Union, Survey of Income and Living Conditions 2011 – Public Use File (EU-SILC) 2011, Ref.LTU_2011_EU-SILC_v01_M_v01_A_PUF. Dataset downloaded from [URL] on [date].
Location of Data Collection
https://osp.stat.gov.lt/viesos-duomenu-rinkmenos
Archive where study is originally stored
Statistics Lithuania
Public use files URL: https://osp.stat.gov.lt/viesos-duomenu-rinkmenos
Cost: None
Public use files URL: https://osp.stat.gov.lt/viesos-duomenu-rinkmenos
Cost: None
Disclaimer and copyrights
Disclaimer
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.
Metadata production
DDI Document ID
DDI_LTU_2011_EU-SILC_v01_M_v01_A_PUF_WB
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Development Economics Data Group | DECDG | The World Bank | Documentation of the study |
Date of Metadata Production
2020-12-04
DDI Document version
Version 01 (January 2021)