1.1. Contact organisation
Statistics Lithuania. State Data Agency
1.2. Contact organisation unit
Living Standard and Employment Statistics Division
1.3. Contact name
Confidential because of GDPR
1.4. Contact person function
Confidential because of GDPR
1.5. Contact mail address
29 Gedimino Ave
LT-01500 Vilnius, Lithuania
1.6. Contact email address
Confidential because of GDPR
1.7. Contact phone number
Confidential because of GDPR
1.8. Contact fax number
Confidential because of GDPR
9 June 2025
2.1. Metadata last certified
9 June 2025
2.2. Metadata last posted
9 June 2025
2.3. Metadata last update
9 June 2025
3.1. Data description
The EU Labour Force Survey (EU-LFS) is the largest European household sample survey. Its main statistical objective is to classify the population of working age (15 years and over) into three mutually exclusive and exhaustive groups: employed persons, unemployed persons, which together represent the ‘labour force’, and the people outside the labour force.
| Abbreviation |
Explanation |
| CV |
Coefficient of variation (or relative standard error) |
| Y/N |
Yes / No |
| H/P |
Households/Persons |
| M? |
Member State doesn’t know |
| NA |
Not applicable/ Not relevant (used for textual data) |
| NaN |
Not applicable (used for numerical data) |
| UNA |
Information unavailable |
| NR |
Non-response: Member State doesn’t answer to Eurostat request for information. Blank is allowed only in boxes with comments |
| LFS |
Labour Force Survey |
| NUTS |
Nomenclature of territorial units for statistics or corresponding statistical regions in the EFTA and candidates countries |
3.2. Classification system
3.3. Coverage - sector
All economic sectors
3.3.1. Coverage
The Lithuanian Labour Force Survey is a private households survey. The population of the survey – all permanent residents of the Republic of Lithuania, living in private households, including those who are temporarily abroad for a period of less than one year. The population also includes foreign nationals who have been living in Lithuania at least a year.
3.3.2. Inclusion/exclusion criteria for members of the household
Only members actually living in the selected private household are interviewed. Household is a person or a group of persons sharing the same living accommodation and expenditures, including collective provision of vital needs.
3.3.3. Questions relating to labour status are put to all persons aged
Questions relating to labour status are put to all persons aged 15-89.
3.4. Statistical concepts and definitions
Unemployed person is a non-working person of an established aged 15–74 who has been actively looking for a job in the last four weeks and is ready to start working in two weeks.
Long-term unemployed person is an unemployed person who has been looking for a job for one year or longer.
Inactive persons – persons who are neither working nor looking for a job and who can be categorised as neither employed nor unemployed.
Employed persons refer to persons doing any kind of work, for which they are remunerated in cash or in kind or have income or profit. In the survey, the employed population is defined as persons aged 15–89 who were doing any kind of work for at least one hour in the reference week for which they have been remunerated in cash or in kind or had profit or income, as well as those who had a job but temporarily were not working.
Labour force refers to the total employed population and the unemployed.
Activity rate is an indicator expressed as a ratio of the labour force of the selected age group to the total population of the same age.
Unemployment rate is an indicator expressed as a ratio of the unemployed to the labour force.
Employment rate is an indicator expressed a ratio of the employed population of a selected age group to the total population of the same age.
3.4.1. Household concept
Housekeeping
3.4.2. Definition of household for the EU-LFS
Members regularly living together in the same dwelling sharing income, household expenditures, food and other essentials for living.
3.4.3. Population concept
Usual residence (12 months).
3.4.4. Specific population subgroups
| Population concept |
Specific population subgroups |
||||
| Primary/secondary students |
Tertiary students |
People working out of family home for an extended period for the purpose of work |
People working away from family home but returning for weekends |
Children alternating two places of residence |
|
| Usual residence |
Family home |
Family home |
Term address |
Family home |
Family home |
3.5. Statistical unit
The data collection shall be carried out in each Member State for a sample of observation units constituted by private households or by persons belonging to private households who have their usual residence in that Member State.
3.6. Statistical population
Statistical population – all permanent residents of the Republic of Lithuania.
3.7. Reference area
Not requested for the LFS quality report.
3.8. Coverage - Time
Data is available from 1998;
3.9. Base period
Not requested for the LFS quality report.
The LFS produces different indicators with different measures:
- Numbers;
- Percentages.
- Quarter
- Year
6.1. Institutional Mandate - legal acts and other agreements
Pre-filled example for the EU level. While for the national level, each country must fulfil the information.
EU level:
The EU-LFS is based on European legislation since 1973. The principal legal acts, currently in force, are the Regulation (EU) 2019/1700 establishing a common framework for European social statistics, the Commission Delegated Regulation (EU) 2020/256 establishing a multiannual rolling planning, the Commission Implementing Regulation (EU) 2019/2181 regarding items common to several datasets, and the Commission Implementing Regulation (EU) 2019/2240 which specifies the implementation rules, technical items and contents of the EU-LFS.
National level:
Regulation (EU) 2019/1700 of the European Parliament and of the Council of 10 October 2019 establishing a common framework for European statistics relating to persons and households, based on data at individual level collected from samples, amending Regulations (EC) No 808/2004, (EC) No 452/2008 and (EC) No 1338/2008 of the European Parliament and of the Council, and repealing Regulation (EC) No 1177/2003 of the European Parliament and of the Council and Council Regulation (EC) No 577/98.
Commission Implementing Regulation (EU) 2019/2240 of 16 December 2019 specifying the technical items of the data set, establishing the technical formats for transmission of information and specifying the detailed arrangements and content of the quality reports on the organisation of a sample survey in the labour force domain in accordance with Regulation (EU) 2019/1700 of the European Parliament and of the Council.
Labour Force Statistical Questionnaire GU-01 (Quarterly) approved by Order DĮ-292 of 18 December 2024 of the Director General of State Data Agency (Statistics Lithuania)
6.2. Institutional Mandate - data sharing
Member States shall make available to the Commission (Eurostat) the data and metadata required under the Regulation 2019/2240 using the statistical data and metadata exchange standards specified by the Commission (Eurostat) and the Single Entry Point.
The Commission (Eurostat) shall, in cooperation with Member States, publish the aggregated data on the Commission (Eurostat) website, in a user‐friendly way, as soon as possible and within six months of the transmission deadline for annual and infra‐annual data collection.
Data sharing and exchange between international data producing agencies, for example, a Eurostat data collection or production that is in common with the OECD or the UN.
7.1. Confidentiality - policy
EU level:
Regulation (EU) No 557/2013 17 June 2013 as regards access to confidential data for scientific purposes and repealing Commission Regulation (EC) No 831/2002. It implements the Regulation (EC) No 223/2009 of the European Parliament and of the Council on European Statistics, which sets criteria for confidentiality of data.
National level:
In the process of statistical data collection, processing and analysis and dissemination of statistical information, Statistics Lithuania fully guarantees confidentiality of the data submitted by respondents (households, enterprises, institutions, organisations and other statistical units), as defined in the Confidentiality policy guidelines of the State Data Agency.
7.2. Confidentiality - data treatment
Data is released after checking it does not reveal confidential data. Administrative identifiers, interconnecting statistical identifiers and any other identification data shall be removed (or they shall be modified to an extent where they cannot directly identify the unit to which they relate).
In the process of statistical data collection, processing and analysis and dissemination of statistical information, Statistics Lithuania fully guarantees confidentiality of the data submitted by respondents (households, enterprises, institutions, organisations and other statistical units), as defined in the Confidentiality Policy Guidelines of the State Data Agency.
Statistical Disclosure Control Manual, approved by Order No DĮ-26 of 19 January 2024 of the Director General of the State Data Agency
The State Data Governance Information System Data Security Regulations and Rules for the Secure Management of Electronic Information in the State Data Governance Information System, approved by Order No DĮ-163 of 20 August 2024 of the Director General of the State Data Agency.
During the preparation of Lithuanian LFS microdata, it is ensured that direct or indirect identification of respondents is not possible.
Microdata are accessible for scientific purposes and can be provided according to the Description of Procedures for the Provision of Confidential Statistical Data for Scientific Purposes of Statistics Lithuania.More detailed information is available at this website: Open data.
8.1. Release calendar
(1) the Member States shall transmit pre‐checked microdata without direct identifiers, according to the following two‐
step procedure:
(a) during the first three years of implementation of this Regulation, as provided for in Article 11(4):
— for quarterly data: within ten weeks of the end of the reference period,
— for other data: by 31 March of the following year;
(b) from the fourth year of implementation as follows:
— for quarterly data: within eight weeks of the end of the reference period,
— for other data regularly transmitted: by 15 March of the following year,
— for other data concerning ad‐hoc subjects: by 31 March of the following year.
Where those deadlines fall on a Saturday or Sunday, the effective deadline shall be the following Monday. The detailed topic income from work may be transmitted to the Commission (Eurostat) within fifteen months of the end of the reference period.
(2) The Member States shall transmit aggregated results for the compilation of monthly unemployment statistics within 25 days of the reference or calendar month, as appropriate. If the data are transmitted in accordance with the ILO definition, that deadline may be extended to 27 days.
8.2. Release calendar access
8.3. Release policy - user access
European social statistics are provided on the basis of equal treatment of all types of users, such as policy‐ makers, public administrations, researchers, trade unions, students, civil society representatives including non‐ governmental organisations, and citizens, which can access statistics freely and easily through Commission (Eurostat) databases on its website and in its publications.
Statistical information is prepared and disseminated under the principle of impartiality and objectivity, i.e. in a systematic, reliable and unbiased manner, following professional and ethical standards (the European Statistics Code of Practice), and the policies and practices followed are transparent to users and survey respondents.
All users have equal access to statistical information. All statistical information is published at the same time – at 9 a.m. on the day of publication of statistical information as indicated in the calendar on the Official Statistics Portal. Relevant statistical information is sent automatically to news subscribers.
The President and Prime Minister of the Republic of Lithuania, their advisers, the Ministers of Finance, Economy and Innovation, as well as Social Security and Labour of the Republic of Lithuania or their authorized persons, as well as, in exceptional cases, external experts and researchers have the right to receive early statistical information. The specified persons are entitled to receive statistical reports on GDP, inflation, employment and unemployment and other particularly relevant statistical reports one day prior to the publication of this statistical information on the Official Statistics Portal. Before exercising the right of early receipt of statistical information, a person shall sign an undertaking not to disseminate the statistical information received before it has been officially published.
Statistical information is published following the Official Statistics Dissemination Policy Guidelines and Statistical Information Dissemination and Communication Rules of the State Data Agency approved by Order No DĮ-208 of 8 October 2024 of the Director General of the State Data Agency.
First release, quarterly (4x), yearly (1x), ad hoc module results (1x)
Monthly unemployment
10.1. Dissemination format - News release
Statistical information is published in news release Employment and unemployment (not later than on the 43 day after the end of the reference period)
More information and new releases is available on the Official Statistics Portal.
10.2. Dissemination format - Publications
All statistical information, publications and news releases are available for users on the Official Statistics Portal.
Employment and unemployment in I quarter 2024
Employment and unemployment in II quarter 2024
Employment and unemployment in III quarter 2024
Employment and unemployment in IV quarter 2024 and 2024
10.3. Dissemination format - online database
Statistical indicators are published in the Database of Indicators (Population and social statistics –> Employment and unemployment).
The page of Database of Indicators is dedicated to viewing and analyzing statistical information. More information on the Database of Indicators can be found in the User's Guide of the Database of Indicators.
10.3.1. Data tables - consultations
Not requested for the LFS quality report.
10.3.2. Web link to national methodological publication
Methodology for the statistical survey on Labour Force is available on the Official Statistics Portal.
10.3.3. Conditions of access to data
All statistical information, publications and news releases are available for users on the Official Statistics Portal. Most of information request come straight to the Living Standard and Employment Statistics Division. If request is not exceptional or complicated it is answered within ten working days starting from the working day following the registration of the request for information. If specific LFS data is required, user must contact with Statistics Dissemination and Communication Division to fill special request form (info@stat.gov.lt).
10.3.4. Accompanying information to data
In the process of statistical data collection, processing and analysis and dissemination of statistical information, Statistics Lithuania fully guarantees confidentiality of the data submitted by respondents (households, enterprises, institutions, organisations and other statistical units), as defined in the Confidentiality Policy Guidelines of Statistics Lithuania.
Statistical Disclosure Control Manual, approved by Order No DĮ-26 of 19 January 2024 of the Director General of the State Data Agency;
The State Data Governance Information System Data Security Regulations and Rules for the Secure Management of Electronic Information in the State Data Governance Information System, approved by Order No DĮ-163 of 20 August 2024 of the Director General of the State Data Agency.
10.3.5. Further assistance available to users
In case of better contact with users there is a possibility to ask questions on the website of State Data Agency (Statistics Lithuania), LFS description and definition are published (in Lithuanian and English languages). Either meetings with users and media representatives are organised. The anonymous LFS micro database is available for users from research institutions. For confidentiality reasons some data (name, address, birth date, name of the workplace, etc) are excluded from database and some data are given only by major groups (economic activity, occupation, etc). State Data Agency (Statistics Lithuania), in response to the needs of users of statistical information, provides them with access to open data sets with data on statistical observation units. More information is available on the Official Statistics Portal, at Open data.
10.4. Dissemination format - microdata access
Further information can be found on Open Data Portal: Open data.
10.4.1. Accessibility to EU-LFS national microdata (Y/N)
Y
10.4.2. Who is entitled to the access (researchers, firms, institutions)?
Researchers.
10.4.3. Conditions of access to data
The State Data Agency may, on the basis of contracts concluded with higher education institutions or research institutes, provide statistical data to researchers of these higher education institutions and research institutes to carry out specific statistical analyses for research purposes. Statistical data are provided in accordance with the provisions specified in the Description of Procedure for Data Depersonalisation and Pseudonymisation (only in Lithuanian). More information is available on the Official Statistics Portal, in the section Data Provision.
The State Data Agency aiming to better satisfy the need for statistical information, provides users with opportunities to access open data sets with data on statistical observation units. More information is available on the Official Statistics Portal, in the section Open data.
10.4.4. Accompanying information to data
In the process of statistical data collection, processing and analysis and dissemination of statistical information, Statistics Lithuania fully guarantees confidentiality of the data submitted by respondents (households, enterprises, institutions, organisations and other statistical units), as defined in the Confidentiality Policy Guidelines of Statistics Lithuania.
Statistical Disclosure Control Manual, approved by Order No DĮ-26 of 19 January 2024 of the Director General of the State Data Agency;
The State Data Governance Information System Data Security Regulations and Rules for the Secure Management of Electronic Information in the State Data Governance Information System, approved by Order No DĮ-163 of 20 August 2024 of the Director General of the State Data Agency.
10.4.5. Further assistance available to users
Further information can be found on Open Data Portal: Open data.
10.5. Dissemination format - other
Not requested for the LFS quality report.
10.5.1. Metadata - consultations
Not requested for the LFS quality report.
10.6. Documentation on methodology
See below.
10.6.1. Metadata completeness - rate
Not requested for the LFS quality report.
10.6.2. References to methodological notes about the survey and its characteristics
Methodological documents are published on the Official Statistics Portal section Employment and unemployment.
"Explanatory notes for interviewers conducting Labour Force Survey" are made.
10.7. Quality management - documentation
Methodological documents are published on the Official Statistics Portal section Employment and unemployment.
11.1. Quality assurance
Not requested for the LFS quality report.
11.2. Quality management - assessment
Not requested for the LFS quality report.
12.1. Relevance - User Needs
The main users of statistical information are State and municipal authorities and agencies, international organisations, the media, research and business communities, students, whose needs are satisfied without a breach of the confidentiality principle. Employment data are required for the assessment of changes in the national labour market, formation of social and economic policy, social decision-making, and assessment of the country’s economic development level, economic forecasting, and international comparison of labour market indicators.
12.2. Relevance - User Satisfaction
Not requested for the LFS quality report.
12.3. Completeness
All indicators established by the legislation are published.
12.3.1. Data completeness - rate
Not requested for the LFS quality report.
12.3.2. NUTS level of detail
NUTS 3
12.3.2.1. Regional level of an individual record (person) in the national data set
LAU
12.3.2.2. Lowest regional level of the results published by NSI
NUTS 3, employement by municipalities (LAU)
12.3.2.3. Lowest regional level of the results delivered to researchers by NSI
NUTS 3
13.1. Accuracy - overall
Not requested for the LFS quality report.
13.2. Sampling error
The survey is conducted using a simple random sampling method. About 8 thousand households are interviewed every quarter. Sampling units are all private household members living at the address of the person sampled.
Coefficients of variation and confidence intervals of the basic parameters are estimated for these variables:
Number of unemployed persons;
Number of long-term unemployed persons;
Number of employed persons;
Unemployment rate;
Youth (aged 15–24) unemployment rate;
Activity rate (of the population aged 15–64);
Employment rate (of the population aged 15–64).
13.2.1. Sampling error - indicators
13.2.1.1. Coefficient of variation (CV) Annual estimates %
References to Annex File.
13.2.1.2. Coefficient of variation (CV) Annual estimates at NUTS-2 Level %
References to Annex File.
13.2.1.3. Description of the assumption underlying the denominator for the calculation of the CV for the employment rate
NR
13.2.1.4. Reference on software used
Clan 97-a SAS program for computation of point and standard error estimates in sample survey.
13.2.1.5. Reference on method of estimation
NR
13.3. Non-sampling error
Not requested for the LFS quality report.
13.3.1. Coverage error
References to Annex File.
13.3.1.1. Over-coverage - rate
See in the 13.3.1. Coverage error section in Annex.
13.3.1.2. Common units - proportion
Not requested for the LFS quality report.
13.3.1.3. Misclassification errors – detection of mismatches of identifiers
See in the 13.3.1. Coverage error section in Annex.
13.3.1.4. Misclassification errors –description of the main misclassification problems encountered in collecting the data and the methods used to process misclassifications
References to Annex File.
13.3.2. Measurement error
See below.
13.3.2.1. Errors due to the media (questionnaire)
References to Annex File.
13.3.2.2. Main methods of reducing measurement errors
References to Annex File.
13.3.3. Non response error
Not requested for the LFS quality report.
13.3.3.1. Unit non-response - rate
See below.
13.3.3.1.1. Methods used for adjustments for statistical unit non-response
References to Annex File.
13.3.3.1.2. Non-response rates. Annual averages (% of the theoretical yearly sample)
References to Annex File.
13.3.3.1.2.1. Non-response rates. Annual averages (% of the theoretical yearly sample) – NUTS-2 level
References to Annex File.
13.3.3.1.3. Units who did not participate in the survey
References to Annex File.
13.3.3.2. Item non-response - rate
Depending on the nature of the statistical survey, it is considered that there are no indicators that should be mandatory filled in. Therefore, in the case of non-response of the indicator and in the absence of the possibility to check whether the value of the indicator should be filled in (compared to administrative or previous year's data), this is not considered as non-response of the indicator.
13.3.3.2.1. Item non-response (INR) in % * - Quarterly data (Compared to the variables defined by the Commission Regulation (EC) No 2019/2240)
References to Annex File.
13.3.3.2.2. Item non-response (INR) in % * - Annual data (Compared to the variables defined by the Commission Regulation (EC) No 2019/2240)
References to Annex File.
13.3.3.2.3. Item non-response for INCGROSS variable
References to Annex File.
13.3.4. Processing error
NA
13.3.4.1. Editing and imputation process
References to Annex File.
13.3.5. Model assumption error
Not requested for the LFS quality report.
14.1. Timeliness
References to Annex File.
14.1.1. Time lag - first result
Not requested for the LFS quality report.
14.1.2. Time lag - final result
Not requested for the LFS quality report.
14.2. Punctuality
Statistical information is published in accordance with an Official Statistics Calendar In case of delay, users are notified in advance by indicating the reason and a new date of publication.
14.2.1. Punctuality - delivery and publication
Not requested for the LFS quality report.
15.1. Comparability - geographical
Statistical information is comparable across the EU.
15.1.1. Asymmetry for mirror flow statistics - coefficient
Not requested for the LFS quality report.
15.1.2. Divergence of national concepts from European concepts
| (European concept or National proxy concept used) List all concepts where any divergences can be found |
|
|
| Is there any divergence between the national and European concepts for the following characteristics? |
(Y/N) |
Give a description of difference and provide an assessment of the impact of the divergence on the statistics |
| Definition of resident population (*) |
N |
NA |
| Identification of the main job (*) |
N |
NA |
| Employment |
N |
NA |
| Unemployment |
N |
NA |
15.2. Comparability - over time
Fully comparable.
15.2.1. Length of comparable time series
Since 1998.
15.2.1.1. Length of time series
Not requested for the LFS quality report.
15.2.1.2. Length of comparable time series
Not requested for the LFS quality report.
15.2.2. Changes at CONCEPT level introduced during the reference year and affecting comparability with previous reference periods (including breaks in series)
References to Annex File.
15.2.3. Changes at MEASUREMENT level introduced during the reference year and affecting comparability with previous reference periods (including breaks in series)
References to Annex File.
15.3. Coherence - cross domain
Not requested for the LFS quality report.
15.3.1. Coherence - sub annual and annual statistics
Not requested for the LFS quality report.
15.3.2. Coherence - National Accounts
|
|
Description of difference in concept |
Description of difference in measurement |
Give an assessment of the effects of the differences |
Give references to description of differences |
| Total employment |
The main differences between the employment definitions of Lithuanian LFS and ESA 2010 are: |
For using in National Accounts, the Lithuanian LFS data is adjusted as much as possible to ESA 2010 definition. NA estimates are calculated on LFS database. |
Difference 2.58% |
No official publication. |
| Total employment by NACE |
Identical to Total employment. |
Identical to Total employment. |
Total employment difference 2.58% |
No official publication. |
| Number of hours worked |
No difference. |
NA |
NA |
No official publication. |
15.3.3. Which is the use of EU-LFS data for National Account Data?
| Which is the use of LFS data for National Account Data? |
|||||
| Country uses LFS as the only source for employment in national accounts. |
Country uses mainly LFS, but replacing it in a few industries (or labour status), on a case-by-case basis |
Country doesn’t make use of LFS, or makes minimal use of it |
Country combines sources for labour supply and demand giving precedence to labour supply sources (i.e. LFS) |
Country combines sources for labour supply and demand not giving precedence to any labour side |
Country combines sources for labour supply and demand giving precedence to labour demand sources (i.e. employ- ment registers and/or enterprise surveys) |
| N |
Y |
N |
N |
N |
N |
15.3.4. Coherence of EU-LFS data with Business statistics data
|
|
Description of difference in concept |
Description of difference in measurement |
Give an assessment of the effects of the differences |
Give references to description of differences |
| Total employment |
The LFS data includes total employment (employees, self-employed with employees, self-employed without employees, family workers). All persons who worked at least one hour or more for pay or profit in the reference week are considered to have been employed. |
The LFS is a sample survey. Data are collected from private households. |
In 2024, the Business Statistics shows 4.8% more employees than the LFS. |
No official publication. |
| Total employment by NACE |
The LFS data includes total employment (employees, self-employed with employees, self-employed without employees, family workers). All persons who worked at least one hour or more for pay or profit in the reference week are considered to have been employed. |
Identical to total employment. |
In 2024, the highest number of employees difference by activity in the LFS compared to the Business statistics was observed in H (81.2%) and L (92.4 %) activities. The lowest difference in R activity was about 3.6% and in P activity (5.7%). |
No official publication. |
| Number of hours worked |
The main differences are:
|
UNA |
In comparison of the employees number of hours actually worked in 2024, the Business statistics shows 2.67% less than the LFS. |
No official publication. |
15.3.5. Coherence of EU-LFS data with registered unemployment
| Description of difference in concept |
Description of difference in measurement |
Give references to description of differences |
| State Data Agency (Statistics Lithuania) estimates and publishes the number of the unemployed based on an ILO definition of the term “unemployed”. Unemployment counts as presented by the National Employment Service Under the Ministry of Social Security and Labour of the Republic of Lithuania (Employment Service). National description ‘Registered Unemployed’ are persons actively undertaking or keeping a registration in one of the bureaus of the Employment Service in the country. The criteria are the following: persons from the age of 16 years to the retirement age established by the Law on State Social Insurance Pensions of the Republic of Lithuania; does not work under an employment contract; not self-employed; does not study according to general education programs, except for persons who study according to adult primary, basic and secondary education programs. |
The unemployment rate published by State Data Agency (Statistics Lithuania) is estimated based on the Labour Force Survey data, and is expressed as a ratio of the unemployed to the labour force. Labour force means the total employed persons and the unemployed. The Lithuanian Employment Service publishes data on registered unemployment, expressed as a ratio of the unemployed registered with the labour exchange to the working-age population. |
UNA |
15.3.6. Assessment of the effect of differences of EU-LFS unemployment and registered unemployment
| Give an assessment of the effects of the differences |
|||||
| Overall effect |
Men under 25 years |
Men 25 years and over |
Women under 25 years |
Women 25 years and over |
Regional distribution (NUTS-3) |
| In 2024, the total number of registered unemployed persons was by 29.47 percent higher than the LFS estimate. |
UNA |
UNA |
UNA |
UNA |
Alytaus county 5.07% |
15.3.7. Comparability and deviation for the INCGROSS variable
References to Annex File.
15.4. Coherence - internal
Not requested for the LFS quality report.
In 2024, EUR 550.1 thousand is foreseen for the statistical survey of Labour Force.
In 2024, about 8 thousand households are interviewed every quarter.
The average time spent by respondents on the compiling and reporting of Questionnaire of 2024 was 9 minutes.
Statistics Lithuania focuses on the reduction of the statistical reporting burden for respondents. The obligations of Statistics Lithuania to implement the Law on Reduction of Administrative Burden of the Republic of Lithuania and to reduce statistical reporting burden for respondents are provided in the Statistical Reporting Burden Reduction Policy.
Further information on burden reduction can be found at Reduction of Statistical Reporting Burden.
16.1. Number of staff involved in the EU-LFS in central and regional offices, excluding interviewers. Consider only staff directly employed by the NSI.
References to Annex File.
16.2. Duration of the interview by Final Sampling Unit
References to Annex File.
17.1. Data revision - policy
The revision policy applied by the State Data Agency is described in the Description of Procedure for Performance, Analysis and Publication of Revisions of Statistical Information.
17.1.1. Is the general data revision policy fully compliant with the ESS Code of Practice principles? (in particular see the 8th principle) (Y/N)
Y
17.1.2. Is the country revision policy compliant with the ESS guidelines on revision policy for PEEIs?
Y
17.2. Data revision - practice
Not requested for the LFS quality report.
17.2.1. Data revision - average size
Not requested for the LFS quality report.
18.1. Source data
The sources of quarterly statistical information are the Labour Force Survey and administrative data from the State Social Insurance Fund Board (Sodra) and the Population Register.
18.1.1. Source data - frame population
| Sampling design (scheme; simple random sample, two stage stratified sample, etc.) |
Base used for the sample (sampling frame) |
Last update of the sampling frame (continuously updated or date of the last update) |
Primary sampling unit (PSU) |
Final sampling unit (FSU) |
Date of sample selection |
| The sample is constructed as follows: having selected a simple random sample of the fixed number of persons of the sampling frame, the members of their households are also included. Even in case turned out that according to the address denoted, a part of people or all of them were not included into the list of the sample, all household members actually living there were interviewed. The cluster sample of persons is thus obtained. All the persons living at the address selected belong to the same cluster. The actual composition of the cluster is indicated during the survey. |
The Population register. The Population register has some shortcomings: it suffers from the undercoverage and overcoverage; not all the addresses are included in the frame, part of them are imprecise, and it is impossible to follow the person selected up to his correct address. The Population register for persons of age under the survey coverage with the addresses of residence in towns and at least the name of the village in rural area is used as a sampling frame. This frame is actually used as a frame of addresses. |
The sampling frame is being updated every day. |
NA |
Final sampling unit (FSU): Households 2024Q1: 21 December 2023 2024Q2: 20 March 2024 2024Q3: 26 June 2024 2024Q4: 25 September 2024 |
|
18.1.2. Sampling design & Procedure method
|
18.1.3. Yearly sample size & Sampling rate
References to Annex File.
18.1.4. Quarterly sample size & Sampling rate
References to Annex File.
18.1.5. Use of subsamples to survey structural variables (wave approach)
| Only for countries using a subsample for yearly variables |
|||
| Wave(s) for the subsample |
Are the 30 totals for ILO labour status (employment, unemployment and inactivity) by sex (males and females) and age groups (15-24, 25-34, 35-44, 45-54, 55+) between the annual average of quarterly estimates and the yearly estimates from the subsample all consistent? (Ref.: Commission Reg. 2019/2240) (Y/N) |
If not please list deviations |
List of yearly variables for which the wave approach is used (Ref.: Commission Reg. 2019/2240, Annex I) |
| NA |
NA |
NA |
NA |
18.2. Frequency of data collection
Not requested for the LFS quality report.
18.3. Data collection
| Data collection methods: brief description |
Use of dependent interviewing (Y/N)? |
In case of Computer Assisted Methods adoption for data collection, could you please indicate which software is used? |
| At first respondents can answer the LFS questionnaire by themselves on the internet (CAWI). If they choose not to do so, interviews are conducted by face-to-face (CAPI) or telephone (CATI) according to the circumstances. The interview normally takes place during the week immediately following the reference week but never later than five weeks after the reference week. |
Y |
NA |
18.3.1. Final sampling unit collected by interviewing technique (%)
References to Annex File.
18.3.2. Info from registers
| Are any LFS data collected from registers (Y/N)? |
If Y, please indicate which variable(s) are partly collected from registers. |
If Y, please indicate which variable(s) are fully collected from registers. |
| Y |
YEARBIR, REGION |
NACE3D, ISCO4D, REGIONW, |
|
|
|
|
|
|
|
|
*In case of non-core variables in the EU-LFS, different percentages of imputation may come from administrative data.
18.3.3. Description of data collection and reference period for INCGROSS variable
References to Annex File.
18.3.4. Description of percentiles and bands used for INCGROSS variable
References to Annex File.
18.4. Data validation
Member States shall transmit to the Commission (Eurostat) quarterly and annual datasets with pre-checked microdata that comply with validation rules according to the specification of variables for their coding and filter conditions set out in Annex I of the Regulation 2019/2240. Member States and the Commission shall agree on additional validation rules that shall be fulfilled as a condition for transmitted data to be accepted.
Arithmetic and qualitative controls are used in the validation process, including comparison with other data. Before data dissemination, the internal coherence of the data is checked.
18.5. Data compilation
Not requested for the LFS quality report.
18.5.1. Imputation - rate
References to Annex File. Please note that in the Annex file the sheet related to this concept has a slightly different title, ‘Imputation - rate (item non-response)'.
18.5.1.1. Editing and imputation process for INCGROSS variable
References to Annex File.
18.5.2. Brief description of the method of calculating the quarterly core weights
| Brief description of the method of calculating the quarterly core weights |
Is the sample population in private households expanded to the reference population in private households? (Y/N) |
If No, please explain which population is used as reference population |
Gender is used in weighting (Y/N) |
Which age groups are used in the weighting (e.g., 0-14, 15-19, ..., 70-74, 75+)? |
Which regional breakdown is used in the weighting (e.g. NUTS 3)? |
Other weighting dimensions |
| The weighting method for the Lithuanian LFS is based on the generalised calibration method introduced by Deville and Särndal in 1992. The initial household design weights are adjusted by the use of auxiliary information relating to population data on 60 municipalities and the intersection of 13 age-groups, sex and urban/rural living place. All household members have the same sampling weight |
Y |
NA |
Y |
13 age groups (0-14,15-19, 20-24, 25-34, 35-39, 40-44, 45-49, 50-54, 55-59, 60-64, 65-69, 70-74, 75+) |
Municipalities (LAU) |
Urban/rural living place |
18.5.3. Brief description of the method of calculating the yearly weights (please indicate if subsampling is applied to survey yearly variables)
| Brief description of the method of calculating the yearly weights (please indicate if subsampling is applied to survey yearly variables) |
Gender is used in weighting (Y/N) |
Which age groups are used in the weighting (e.g., 0-14, 15-19, ..., 70-74, 75+)? |
Which regional breakdown is used in the weighting (e.g. NUTS3)? |
Other weighting dimensions |
| Yearly weights are calculated as the identical to COEFFQ/4. |
Y |
Gender, 13 age groups (0-14,15-19, 20-24, 25-34, 35-39, 40-44, 45-49, 50-54, 55-59, 60-64, 65-69, 70-74, 75+) |
Municipalities (LAU) |
Urban/rural living place |
18.5.4. Brief description of the method of calculating the weights for households
| Brief description of the method of calculating the weights for households |
Any external reference for number of households etc.? |
Which factors at household level are used in the weighting (number of households, household size, household composition, etc.) |
Which factors at individual level are used in the weighting (gender, age, regional breakdown etc.)? |
Are the household weights identical for all household members? (Y/N) |
|---|---|---|---|---|
| As described above. |
N |
Number of households, household size. |
Gender, 13 age groups (0-14,15-19, 20-24, 25-34, 35-39, 40-44, 45-49, 50-54, 55-59, 60-64, 65-69, 70-74, 75+ ), regional breakdown (LAU), urban/rural living place. |
Y |
18.6. Adjustment
Not requested for the LFS quality report.
18.6.1. Seasonal adjustment
| Do you apply any seasonal adjustment to the LFS Series? (Y/N) |
If Yes, is your adopted methodology compliant with the ESS guidelines on seasonal adjustment? (ref. ESS guidelines on seasonal adjustment - Products Manuals and Guidelines - Eurostat (europa.eu) (Y/N) |
If Yes, are you compliant with the Eurostat/ECB recommendation on Jdemetra+ as software for conducting seasonal adjustment of official statistics. (weblink) (Y/N) |
If Not, please provide a description of the used methods and tools |
| N |
NA |
NA |
NA |
The EU Labour Force Survey (EU-LFS) is the largest European household sample survey. Its main statistical objective is to classify the population of working age (15 years and over) into three mutually exclusive and exhaustive groups: employed persons, unemployed persons, which together represent the ‘labour force’, and the people outside the labour force.
| Abbreviation |
Explanation |
| CV |
Coefficient of variation (or relative standard error) |
| Y/N |
Yes / No |
| H/P |
Households/Persons |
| M? |
Member State doesn’t know |
| NA |
Not applicable/ Not relevant (used for textual data) |
| NaN |
Not applicable (used for numerical data) |
| UNA |
Information unavailable |
| NR |
Non-response: Member State doesn’t answer to Eurostat request for information. Blank is allowed only in boxes with comments |
| LFS |
Labour Force Survey |
| NUTS |
Nomenclature of territorial units for statistics or corresponding statistical regions in the EFTA and candidates countries |
9 June 2025
Unemployed person is a non-working person of an established aged 15–74 who has been actively looking for a job in the last four weeks and is ready to start working in two weeks.
Long-term unemployed person is an unemployed person who has been looking for a job for one year or longer.
Inactive persons – persons who are neither working nor looking for a job and who can be categorised as neither employed nor unemployed.
Employed persons refer to persons doing any kind of work, for which they are remunerated in cash or in kind or have income or profit. In the survey, the employed population is defined as persons aged 15–89 who were doing any kind of work for at least one hour in the reference week for which they have been remunerated in cash or in kind or had profit or income, as well as those who had a job but temporarily were not working.
Labour force refers to the total employed population and the unemployed.
Activity rate is an indicator expressed as a ratio of the labour force of the selected age group to the total population of the same age.
Unemployment rate is an indicator expressed as a ratio of the unemployed to the labour force.
Employment rate is an indicator expressed a ratio of the employed population of a selected age group to the total population of the same age.
The data collection shall be carried out in each Member State for a sample of observation units constituted by private households or by persons belonging to private households who have their usual residence in that Member State.
Statistical population – all permanent residents of the Republic of Lithuania.
Not requested for the LFS quality report.
- Quarter
- Year
Not requested for the LFS quality report.
The LFS produces different indicators with different measures:
- Numbers;
- Percentages.
Not requested for the LFS quality report.
The sources of quarterly statistical information are the Labour Force Survey and administrative data from the State Social Insurance Fund Board (Sodra) and the Population Register.
First release, quarterly (4x), yearly (1x), ad hoc module results (1x)
Monthly unemployment
References to Annex File.
Statistical information is comparable across the EU.
Fully comparable.
