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  1. Home
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  4. Labour Force Survey

Labour Force Survey

Kiirviited
  • Purpose
  • Type of activity
  • Statistical presentation
  • Unit of measure
  • Reference period
  • Institutional mandate
  • Confidentiality
  • Release policy
  • Frequenct of dissemination
  • Accessibility and clarity
  • Quality management
  • Relevance
  • Accuracy and reliability
  • Timeliness and punctuality
  • Coherence and comparability
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  • Comment
Näita vähem
Kontakt

Contact organisation: Statistics Estonia

Contact organisation unit: Population and Social Statistics Department

Contact name: Tea Vassiljeva

Contact person function: Social Statistics Team, Analyst

Contact mail address: Tatari 51, 10134 Tallinn, Estonia

Contact email address: tea.vassiljeva@stat.ee

Contact phone number: 372 5326 9091


Metadata last certified 22/01/2026

Metadata last update 09/12/2025

Purpose
The purpose of the Labour Force Survey is to reliably assess the labour market situation in Estonia and to gain an overview about economic activity (employment, unemployment) and working conditions of the population. It is the oldest and largest personal survey in Estonia covering the whole working-age population.
Type of activity
Multisource process
Statistical presentation
Data description (S.3.1)
The key indicators of labour market statistics provide an overview of the following:

the employment rate;

the number of employees and their occupations;

how many people work part-time;

how many people are unemployed in Estonia;

the employment rate of the immigrant population;

how many working-age people are economically inactive;

educational attainment of the working-age population by economic activity and county.
Classification system (S.3.2)
Classification of Estonian administrative units and settlements (EHAK);

Estonian Classification of Economic Activities (EMTAK) based on NACE Rev. 2. Until 2025, data are published in accordance with the 2008 version of EMTAK; from 2026 onwards, data are published in accordance with the 2025 version of EMTAK;

Classification of Occupations 2008;

National Standard Classification of Education 2011;

Fields of Education and Training 2013v1;

Classification of Ethnicities 2011;

Classification of countries and territories 2013v1;

Classification of Languages 2013.
Sector coverage (S.3.3)
Not applicable
Statistical concepts and definitions (S.3.4)
Working-age/labour-age population – the part of the population that is used as the basis when examining the economic activity of the population, or in other words, the population of the age that is the object of a labour force survey (population between the ages of 15 and 74, or 15 and 89)

Economically active population / labour force – persons who wish and are able to work (total of employed and unemployed persons)

Employed – a person who during the reference period:
- worked at least one hour and was paid as a wage earner, entrepreneur or freelancer;
- worked without direct payment in a family enterprise or on their own farm;
- participated in work-related training;
- was temporarily absent from work due to holidays, illness, maternity or paternity leave, or work-related training;
- was on parental leave and received or had the right to receive work-related income or (parental) benefits or was to remain on parental leave presumably for less than three months;
- was temporarily absent from work for other reasons and the presumable leave period was less than three months;
- was a seasonal worker outside the work season if he/she continued to regularly fulfil work-related tasks or responsibilities (excl. legal or administrative responsibilities).

Unemployed – a person aged 15–74 who meets all three of the following conditions:
- is without work (does not work anywhere and is not temporarily absent from work);
- is currently (within two weeks) available for work if work is found;
- is actively seeking work

Economically inactive population – persons who do not wish or are not able to work, and who belong to one of the following categories:
- persons aged under 15;
- persons aged 89 and older;
- persons aged 15–89 who were neither employed nor unemployed

Activity limitation – limitation on everyday activities due to health problems. Persons with activity limitations are determined based on individual surveys where people are asked about limitations due to health problems. The persons who answer this question either with „substantially restricted” or „restricted, but not substantially” are included among the persons with activity limitations. Before 2015, when studying the employment of people with disabilities, people who answered "substantially restricted" or “restricted but not substantially" to questions about the type of work, amount of work, or commuting from home in the labour force survey were counted as people with activity limitations.

Below upper secondary education – no basic education, basic education (grades 1–9), vocational basic education, vocational education after basic education

Central Estonia – Järva, Lääne-Viru, and Rapla counties

City settlement region and town settlement region – a region where most of the population lives in areas with a population density of more than 200 people per km² and the population figure in an area of such population density is at least 5,000 inhabitants

Disability – a loss of or abnormality in a person's anatomical, physiological, or mental structure or function identified by the Social Insurance Board, which, in conjunction with barriers arising from attitudes and the environment, prevents participation in society on equal terms with others. There are three degrees of disability: moderate, severe, or profound.

Economic activity – the field of activity of the employed person's place of work according to the Classification of Economic Activities in Estonia (EMTAK)

Economic activity-based sex segregation, or horizontal sex segregation – shows the distribution of men and women across economic activities. The higher the segregation index value, the more segregated the labour market is across economic activities. If the index value is 0%, there is no segregation in the labour market, i.e. women and men are evenly distributed across economic activities. If the index value is 100%, the labour market is completely segregated, i.e. women and men work in completely different economic activities.

Employee – an individual who is employed by an institution, enterprise, or other employer on a full-time or part-time basis (regardless of whether the job is officially registered) and receives compensation in cash or in kind

Employment gap – the difference in employment rates between two groups

Employment rate – the share of the employed in working-age population

Employment status or employed person's status in employment – employed persons are divided into employees, self-employed persons, unpaid family workers, etc.

Ethnic nationality – a person's belonging to an ethnic group based on self-determination of the person. A child’s ethnic nationality is determined by the parents; if a child’s (aged 0–17) ethnic nationality is unknown, they are assigned the nationality of their mother.

Formal education – preprimary, general, vocational, and higher education

Full work ability – a person’s ability to work has not been reduced by his/her health condition and the resulting activity limitations

Gross wages (salaries) – wages and salaries before any deductions for income tax and social security contributions paid by the employee

Household – a group of people who live in a common dwelling (at the same address), share joint financial and/or food resources and whose members consider themselves to belong to the same household. A household may also consist of one member only.

Immigrant population / foreign-origin population – people who were born outside Estonia or whose parents were born outside Estonia. The immigrant population is divided into the first-generation and second-generation immigrant populations according to the country of birth of the person and their parents. The first generation consists of persons who were born abroad and whose parents were also born abroad. The second generation consists of persons who were born in Estonia but whose parents were born abroad.

Knowledge of languages – command of a language at a level sufficient for everyday communication

Labour force participation rate / activity rate – the share of the labour force (the total number of the employed and unemployed) in the working-age population

Labour status – belonging to the economically active or inactive population; the economically active are divided into employed and unemployed

Level of knowledge of language – 1 – can speak and write; 2 – can speak in everyday situations; 3 – can understand in everyday situations

Limited capacity for work – permanent incapacity for work (established by the Social Insurance Board), partial or no work ability (established by the Unemployment Insurance Fund)

Long-term unemployed – unemployed person who has been actively seeking work for 12 months or longer

Long-term unemployment rate – the share of the labour force that has been unemployed for 12 months or more

Loss of work ability – expresses the extent of permanent incapacity for work as a percentage. Permanent incapacity for work was determined by the Social Insurance Board until 2016.

Manager – an employee belonging to the occupational group of managers and having managerial responsibilities

Native population – permanent residents of Estonia who have at least one parent born in Estonia

Non-working household – a household in which no member is employed

Northeastern Estonia – Ida-Viru county

Northern Estonia – Harju county

No work ability – a person's health condition and the resulting limitations on their activities significantly prevent them from working under normal conditions. As of 1 January 2017, work ability is assessed instead of incapacity for work. Work ability is assessed by the Unemployment Insurance Fund.

As of 1 January 2017, the Unemployment Insurance Fund assesses work ability instead of incapacity for work.

Occupation – occupation according to the main groups in the Classification of Occupations (AK)

Occupational group – occupational group according to the main groups in the Classification of Occupations (AK); white-collar workers include managers, professionals, technicians and

associate professionals, as well as clerical support workers; blue-collar workers are all others.

Occupation-based sex segregation or vertical sex segregation – shows the high concentration of women and men in different occupations. The higher the segregation index value, the more segregated the labour market is across occupations. If the index value is 0%, there is no segregation in the labour market, i.e. women and men are evenly distributed across occupations. If the index value is 100%, the labour market is completely segregated, i.e. women and men work in completely different occupations.

Participant in lifelong learning – a person who studied in the formal education system or participated in training during the reference period

Part-time employee – an employed person who normally works less than 35 hours per week, excluding occupations where reduced working hours are established by law

Partial work ability – a person’s working is partially hindered by their health condition and the resulting activity limitations. Partial work ability is established by the Estonian Unemployment Insurance Fund.

Person available to work but not seeking – a person who is not working and is ready to start work immediately (within two weeks) if they find a job but is not actively seeking work. The latter condition distinguishes them from the unemployed.

Person seeking work but not immediately available – a person who is not working and has been actively seeking work during the last four weeks but would not be able to start work immediately (within two weeks) if they found a job. The latter condition distinguishes them from the unemployed.

Person with care responsibilities – a person whose part-time employment or economic inactivity is due to the need to care for children or adults requiring care

Region – region of place of residence according to the European Union's common statistical classification of territorial units (NUTS 3 level): Northern Estonia – Harju county; Central Estonia – Järva, Lääne-Viru, and Rapla counties; Northeastern Estonia – Ida-Viru county; Western Estonia – Hiiu, Lääne, Pärnu, and Saare counties; Southern Estonia – Jõgeva, Põlva, Tartu, Valga, Viljandi, and Võru counties

Relative standard error, or coefficient of variation – the ratio of standard error to published estimate, expressed as a percentage; the smaller the relative standard error, the better the quality of the estimate

Respondent – a person who answered questions in a survey

Response rate – the share of respondents among those included in the sample

Rural settlement – a small town or a village

Rural settlement region – a region where most of the population lives in areas with a population density of less than 200 people per km², or in an area with higher population density where the population figure is under 5,000 inhabitants

Sample – a randomly selected portion of all persons of interest, i.e. the total population, for the purpose of conducting a survey

Sector of economy – the economic activity of the employed person's place of work according to the Classification of Economic Activities in Estonia (EMTAK): primary sector – agriculture, forestry and fishing (A); secondary sector – mining, manufacturing, electricity, gas and water supply, construction (B–F); tertiary sector – trade, services, etc. (G–S)

Sex – legal sex

Southern Estonia – Jõgeva, Põlva, Tartu, Valga, Viljandi, and Võru counties

Standard error – indicates the variability of the estimate resulting from the sample survey

Temporary job – a job taken for a relatively short period of time, the end date of which may be specified in an employment contract, verbal agreement, or in some other way; types of temporary jobs are seasonal job, occasional job, and other temporary job

Tertiary education – short-cycle tertiary education – vocational/professional; Bachelor’s, Master’s or Doctoral level

Training – purposeful organised learning (course, seminar, private lesson) that falls outside of formal education, continuing education; training is divided into work-related and hobby-related training

Underemployed – a person who works part-time but would like to work more and is available for additional work (within two weeks)

Unemployment gap – the difference in unemployment rates between two groups

Unemployment rate – the share of the unemployed in the labour force

Upper secondary education – general secondary education, upper secondary education – vocational, or post-secondary non-tertiary education – vocational

Urban settlement – a city, a city without municipal status, or a town

Very long-term unemployment rate – the share of the labour force that has been unemployed and seeking work for 24 months or more

Western Estonia – Hiiu, Lääne, Pärnu, and Saare counties

Young person neither in employment nor in education and training (NEET) – a person aged 15–34, excluding conscripts and those in institutions, who is not in employment, education or training
Statistical unit (S.3.5)
Person
Statistical population (S.3.6)
Permanent residents of Estonia aged 15 and over, excluding persons living in institutions.
Reference area (S.3.7)
Estonia as a whole
Time coverage (S.3.8)
1989–…
Base period (S.3.9)
Not applicable
Unit of measure
Persons – number, percentage;

financial indicators – euro
Reference period
Year;

quarter
Institutional mandate
Legal acts and other agreements (S.6.1)
Official Statistics Act;

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 (Text with EEA relevance)
Data sharing (S.6.2)
None
Confidentiality
Confidentiality - policy (S.7.1)
The dissemination of data collected for the purpose of producing official statistics is guided by the requirements provided for in § 32, § 34, § 35 and § 38 of the Official Statistics Act.

On European level, Regulation (EC) No 223/2009 on European statistics (recital 24 and Article 20(4)) of 11 March 2009 (OJ L 87, p. 164), stipulates the need to establish common principles and guidelines ensuring the confidentiality of data used for the production of European statistics and the access to those confidential data with due account for technical developments and the requirements of users in a democratic society.
Confidentiality - data treatment (S.7.2)
The dissemination of data collected for the production of official statistics is based on the requirements laid down in §§ 34 and 35 of the Official Statistics Act.

The principles for treatment of confidential data can be found here: Data protection (Privacy policy).
Release policy
Release calendar (S.8.1)
Notifications about the dissemination of statistics are published in the release calendar, which is available on the website. Every year on 1 October, the release times of the statistical database, news releases, main indicators by IMF SDDS, and publications for the following year are announced in the release calendar (in the case of publications – the release month).
Release calendar access (S.8.2)
The release calendar is available to users on the website Calendar.
User access (S.8.3)
All users have been granted equal access to official statistics: dissemination dates of official statistics are announced in advance and no user category (incl. Eurostat, state authorities and mass media) is provided access to official statistics before other users. Official statistics are first published in the statistical database. If there is also a news release, it is published simultaneously with data in the statistical database. Official statistics are available on the website at 8.00 a.m. on the date announced in the release calendar.
Frequenct of dissemination
Year;

quarter
Accessibility and clarity
News release (S.10.1)
The news items can be viewed on Statistics Estonia's website in the section News.

A news release is published each quarter along with the data. See, for example, the news release for the second quarter of 2025 "Number of unemployed persons down by 5,000 from first quarter".
Publications (S.10.2)
Not published
On-line database (S.10.3)
Data are published in the statistical database in the tables under the subject area Social life / Labour market;

in the tables under the subject area Social life / Worklife quality / Labour market gaps;

under the subject area Social life / Social exclusion and poverty / Poverty and inequality in tables LES09, LES10, LES11, and LES39.

Data tables previously published as part of this statistical activity, but now discontinued, are available under the subject area Labour market. Archive..
Data tables - consultations (S.10.3.1)
The database tables related to the survey were viewed 26,111 times in 2024, 25,236 times in 2023, 25,446 times in 2022, 37,844 times in 2021, 41,382 times in 2020, 47 629 times in 2019, and 48,888 times in 2018.

Each table view is counted as a separate viewing. This is based on the database URLs, which show that the data have been selected and the table formed.
Micro-data access (S.10.4)
The dissemination of data collected for the purpose of producing official statistics is guided by the requirements provided for in §§ 33, 34, 35, 36, 38 of the Official Statistics Act.
Access to microdata and anonymisation of microdata are regulated by Statistics Estonia’s procedure for dissemination of confidential data for scientific purposes.
Other (S.10.5)
Labour force survey data are published in Statistics Estonia's applications Dashboards,Tree of Truth, and Labour market application (available in Estonian) .

Monthly, quarterly, and annual data are transmitted to Eurostat via the EDAMIS environment. Monthly data (as a three-month moving average) are transmitted 60 days after the end of the reference month, quarterly data 45 days after the end of the reference quarter, and annual average data 45 days after the end of the reference year.

In addition to the data, quality reports are also submitted to Eurostat.
Metadata - consultations (S.10.5.1)
The metadata related to this statistical activity were viewed 726 times (1 January 2024 – 31 December 2024). This figure does not represent the number of viewers, as the metadata may have been viewed multiple times by a single user.
Documentation on methodology (S.10.6)
EU labour force survey – methodology (EU-LFS).

The history and methodology of the Estonian Labour Force Survey are described here: Estonian Labour Force Survey. Methodology.

Due to the requirements of the Integrated European Social Statistics (IESS) regulation, as of 2021, the Estonian Labour Force Survey is based on a new methodology (more specifically) Changes in the methodology of the Estonian Labour Force Survey). The main goal of the changes is to improve data quality.
Quality documentation (S.10.7)
This statistical activity is guided by the European Statistics Code of Practice – revised edition, 2017.

Quality report of the European Union Labour Force Survey 2020–2022 edition.
Quality management
Quality assurance (S.11.1)
To assure the quality of processes and products, Statistics Estonia applies the European Statistics Code of Practice and the Quality Assurance Framework of the European Statistical System (ESS QAF). Statistics Estonia is also guided by the EFQM Excellence Model and the requirements in § 7 “Principles and quality criteria of producing official statistics” of the Official Statistics Act.
Quality assessment (S.11.2)
Statistics Estonia performs all statistical activities according to an international model (Generic Statistical Business Process Model – GSBPM). According to the GSBPM, the final phase of statistical activities is overall evaluation using information gathered in each phase or sub-process; this information can take many forms, including feedback from users, process metadata, system metrics and suggestions from employees. This information is used to prepare the evaluation report which outlines all the quality problems related to the specific statistical activity and serves as input for improvement actions.

Quality is managed by the quality manager.
Relevance
User needs (S.12.1)
This survey collects data on the Estonian labour market situation and provides an overview of the economic activity, employment and unemployment rates, and working conditions of the local population. The labour force survey serves as a basis for the analysis of changes in the labour market, which is mainly used by ministries, universities, and research institutions.

At the European Union level, the data are used for comparisons between countries.

The survey is commissioned by Eurostat and it is conducted internationally.

In Estonia, the main representative of public interest is the Ministry of Economic Affairs and Communications. The data from the survey and the indicators calculated on the basis of these data are also used by the Ministry of Education, the Ministry of Social Affairs, and the Ministry of Finance. Eesti Pank (the central bank of Estonia), Tallinn University, and University of Tartu also use the survey data.

In order to meet domestic needs, questions covering the needs of domestic users have been added to the Estonian Labour Force Survey.
User satisfaction (S.12.2)
Since 1996, Statistics Estonia has conducted reputation and user satisfaction surveys. Surveys conducted at least once a year target both the existing and potential consumers of statistics. All results are available on Statistics Estonia's website in the section User surveys. The survey referred to does not concern a specific statistical activity but is a general satisfaction survey.

Information on user satisfaction can also be obtained through user feedback, which has been mostly positive.
Completeness (S.12.3)
The data are complete and comply with the data composition requirements prescribed by the European Commission regulation on labour force survey statistics.
Data completeness - rate for U (S.12.3.1a)
Not requested
Accuracy and reliability
Overall accuracy (S.13.1)
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 accuracy.
Sampling error (S.13.2)
Standard errors and relative standard errors are calculated for the main indicators of the labour force survey (labour force, number of employed persons, number of unemployed persons, number of economically inactive persons, labour force participation rate, employment rate, unemployment rate).
Sampling error - indicators for U (S.13.2.1a)
The standard errors and relative standard errors of the labour force survey indicators are published here: Labour status of population aged 15–74 by group of individuals (place of residence, ethnic nationality) and sex.
Non-sampling error (S.13.3)
Statistics Estonia aims to reduce the amount of non-sampling errors through continuous improvement of the methodology and the survey process, e.g. by adopting computer-assisted data collection which helps to prevent coding and typing errors.
Coverage error (S.13.3.1)
The frame is a list of permanent residents of Estonia aged 15 or over living in private households, compiled on the basis of the population statistical register. The population statistical register is a collection of data on individuals created and maintained by Statistics Estonia, which serves as the basis for statistical activities in the field of social life and population. The register is regularly updated with data from administrative sources and statistical surveys.

See "Over-coverage – rate".
Over-coverage - rate (S.13.3.3.1)
11,676 households of the 17,454 households sampled for the survey were interviewed in 2024. Among the households not interviewed, in 274 cases (1.57% of the total number of sampled households) the reason was an error or inaccuracy of the frame (person deceased, person emigrated or left the country long term, person resided in an institution, etc.).
Measurement error (S.13.3.2)
Measurement errors may arise from the questionnaire (its wording, design, etc.), the respondents, the interviewers, and the data collection method. While it is impossible to completely avoid these types of errors in social surveys, Statistics Estonia has tried to reduce their occurrence as much as possible.

An effort is made to avoid measurement errors through multi-stage control procedures. There is no information about major measurement errors, but these errors are not explicitly calculated. The questionnaires are carefully designed, are in electronic format, and include a number of arithmetic and logical checks. Where possible, the questionnaires are prefilled with administrative data.

To reduce measurement errors, experts tested the questionnaire before data collection and compiled an interviewer's guide explaining the background and specific conditions of each question. Although proxy responses are allowed in this survey, which may increase measurement error because someone other than the respondent answers the questions, interviewers are regularly trained on how to avoid proxy interviews.
Non response error (S.13.3.3)
The response rates for the labour force survey are published here: TT54: Response rate in Estonian Labour Force Survey by County.
Unit non-response - rate for U (S.13.3.3.1a)
The response rates for the labour force survey are published here: TT54: Response rate in Estonian Labour Force Survey by County.
Item non-response - rate for U (S.13.3.3.2a)
Not applied
Processing error (S.13.3.4)
Due to numerous arithmetic and logical checks and prefilling of the questionnaire with administrative data, the likelihood of processing errors in the data is low.
Model assumption error (S.13.3.5)
Not applicable
Timeliness and punctuality
Timeliness (S.14.1)
The quarterly data are published 45 days after the end of the reference quarter (T + 45 days).

The annual average data are published 45 days after the end of the reference year (T + 45 days).
Time lag - first results for P (S.14.1.1)
The data are published once (T + 45 days).
Time lag - final results for U (S.14.1.2a)
The data are published once (T + 45 days).
Punctuality (S.14.2)
The data have been published at the time announced in the release calendar.
Punctuality - delivery and publication for U (S.14.2.1a)
100% of the data has been published on time.
Coherence and comparability
Comparability - geographical (S.15.1)
The data are comparable with the data of other European Union countries, as the methodology of the International Labour Organization (ILO) is used.

At the national level, the data are comparable across counties.
Comparability - over time (S.15.2)
Statistics Estonia conducted the first Estonian Labour Force Survey at the beginning of 1995 (ELFS 95). In 1997–1999, the survey was conducted in the second quarter. Starting from the year 2000, the Labour Force Survey is a continuous survey providing quarterly and annual results.

In 2021, there was a major change in methodology, more information about which can be found on the page Changes in the methodology of the Estonian Labour Force Survey. Since 2021, four new tables have been added, in which previously published indicators (starting from 2018) have been recalculated using the new methodology and weights:

TT0150: Employed persons in main job by sex, age group and full/part-time job,

TT0130: Employed persons in main job by sex, age group and full/part-time job (quarterly),

TT0151: Labour market headline indicators by sex and age group,

TT0151: Labour market headline indicators by sex and age group (quarterly).

In the other tables, there is a break in the time series between 2020 and 2021. Starting from 2021, the published indicators have been compiled according to a new methodology.
Length of comparable time series for U (S.15.2.1a)
The uninterrupted time series begins in 2021 (backcalculated from 2018 in tables TT0150, TT0151, TT0130, TT0160).
Coherence - cross domain (S.15.3)
Unemployment in Estonia is measured using three data sources: the Estonian Labour Force Survey (ELFS) conducted by Statistics Estonia, Eurostat’s harmonised unemployment statistics, and the Estonian Unemployment Insurance Fund's registered unemployment data. The data collection methods and frequency of publishing the results are different in the case of each of these sources. More information can be found in the collection Estonian Labour Force Survey. Methodology, chapter 6.1.

The auxiliary employment indicators for National Accounts according to ESA 95 definitions are also calculated on the basis of the Estonian Labour Force Survey data. When using the data of ELFS and National Accounts, differences arising from definitions and concepts should be taken into consideration. More information can be found in the collection Estonian Labour Force Survey. Methodology, chapter 6.2.
Coherence - sub annual and annual statistics (S.15.3.1)
Annual indicators are calculated as quarterly averages, which ensures coherence of data.
Coherence - National Accounts (S.15.3.2)
The main differences between the employment definitions of the Estonian Labour Force Survey and ESA 2010 are the following:

- according to ESA 2010, conscripts are considered employees while in ELFS they are out of scope;

- according to ESA 2010, employment includes also non-residents (foreigners staying in Estonia less than one year) working for resident producer units while ELFS does not include them;

- according to ESA 2010, employment does not include residents who are working abroad or in the extra-territorial organisations in Estonia while ELFS does;

- according to ESA 2010, employment includes voluntary employees if their volunteer activities result in goods, e.g. the construction of a dwelling, church or other building, while ELFS does not.

For using in National Accounts, the ELFS data is adjusted as much as possible to ESA 2010 definition i.e. conscripts are included to employment and residents who are working abroad or in the extra-territorial organisations are excluded from employment. This means that the ELFS data used by National Accounts deviate from the ESA 2010 definitions only by not including the foreign workers and volunteers (these groups are not measured in ELFS).

As a result of including conscripts and excluding residents who are working abroad or in the extra-territorial organisations the difference of total employment between ELFS (700,000) and National Accounts (703,300) was 0.5% in 2023.

The size of the groups not included (foreign workers and volunteers) in National Accounts employment is unknown.
Coherence - internal (S.15.4)
The outputs of the statistical activity are coherent.
Cost and burden
The average length of an interview is 12 minutes.

Costs are not calculated separately for different statistical activities.
Data revision
Data revision - policy (S.17.1)
The data revision policy and notification of corrections are described on Statistics Estonia's website in the section Principles of dissemination of official statistics.
Data revision - practice (S.17.2)
The published data may be revised if the methodology is modified, errors are discovered, new or better data become available.

No regular revisions are made.
Data revision - average size for U (S.17.2.1a)
Not applied
Statistical processing
Source data (S.18.1)
This is a personal survey. Some of the data are collected with a questionnaire during the survey, some are obtained from administrative sources. The following administrative source data are used:

data on loss of capacity for work and on degree of disability are received from the Social Insurance Board;

data on ongoing studies, if a person is studying in Estonia, are received from the Estonian Education Information System (EHIS) of the Ministry of Education and Research;

data on registered unemployed persons are obtained from the Unemployment Insurance Fund;

data on wages are obtained from the Tax and Customs Board.

The total population in 2024 was 1,019,940 persons aged 15–89. The sample included 1,150 households (2,500 persons) per quarter. The sample design is stratified systematic sampling of individuals whose households are included into the sample.

Stratification is made by place of residence. The 15 counties of Estonia and Tallinn are divided into four strata according to the population size: I – Tallinn, II – four bigger counties (Harju (without Tallinn), Ida-Viru, Pärnu, Tartu), III – ten smaller counties (Jõgeva, Järva, Lääne, Lääne-Viru, Põlva, Rapla, Saare, Valga, Viljandi, Võru), IV – Hiiu county.

Participants in the Labour Force Survey are randomly selected from the Population Register from among persons aged 15 or over. Each person brings their household to the sample and all members of that household aged 15 or over are surveyed.
Frequency of data collection (S.18.2)
Continuous
Data collection (S.18.3)
Data are collected from individuals using questionnaires designed to be completed electronically by interviewers or respondents on a computer. Questionnaires and information about data submission are available on Statistics Estonia's website in the section Questionnaires. A brief overview of the survey can be found on Statistics Estonia's website in the section Labour Force Survey.

Before the survey starts, a notification is sent to all the people in the sample, explaining the purpose of the survey and how they will be contacted. The notification is sent to the sample person at the email address indicated in the Population Register. If no email address is available, a letter is sent by post to the address in the Population Register.

In this survey, data are collected through an online questionnaire and a phone interview. For best service, the survey interview call is recorded. Interviews are conducted by specially trained interviewers from Statistics Estonia. The survey can be completed in either Estonian or Russian.

Respondents can contact customer support if they have any questions while filling out the questionnaire.

Since 2001, a module that meets European Union requirements has been added to the Estonian Labour Force Survey questionnaire, with a different topic each year. The purpose of such modules is to collect more detailed information on current labour market issues. More information about Eurostat modules can be found here: Description of the modules.

In addition to collecting data with questionnaires, the dataset is supplemented with information from administrative sources during processing. This is primarily done to reduce the response burden on the respondents. The following variables are linked to the Labour Force Survey dataset from administrative sources: participation in formal education from the Estonian Education Information System, registration as unemployed and level of work ability from the Unemployment Insurance Fund, presence and severity of disability and level of incapacity for work from the Social Insurance Board, wages and salaries from the Tax and Customs Board, ethnic nationality and citizenship from the Population Register.
Data validation (S.18.4)
For non-response correction, individuals are divided into seven response homogeneity groups by place of residence (county and urban/rural) according to the non-response rate in the region. The weight of non-response of the individual is inversely proportional to the overall response rate in this group.

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.

The input data are checked and, if necessary, corrected according to specified rules. The compliance of estimated statistics with the quality requirements is checked as well: comparisons are made with previous periods, internal coherence, the coverage of the total population, and the response rate are checked.

Data validation is carried out in two stages in accordance with Eurostat requirements:

1. Data undergo logical checks when transmitted via EDAMIS;

2. Data are checked against a control table provided by Eurostat.
Data compilation (S.18.5)
In the case of missing or unreliable data, estimate imputation based on established regulations are used. Household income and person's gross wages are imputed. First, values for both characteristics are imputed using regression imputation, and then household income or person's net wages are obtained using the hot-deck method.

The weighting procedure takes place in the following three steps:

calculation of design weights;

non-response correction;

calibration of non-response corrected weights.

Before expanding data to the population the weights will be calibrated by sex and age group (5-year groups), ethnic nationality (as of 2005) (Estonians, non-Estonians), educational level (as of 2021) (three levels), county of the place of residence of household, and degree of urbanisation (urban or rural). The basis of the calibration is the distribution of the population of Estonia by sex, age group, and county on 1 January according to demographic data.

After computing calibrated weights, the expansion factor is calculated for every respondent, which is the ratio of the total population to the number of interviewees per quarter. The final weight of the individual is calculated by multiplying the weight found earlier with the expansion factor.

Key labour market indicators are calculated: employment rate and unemployment rate.

Microdata is aggregated to the level required for analysis. This includes summing up data according to the classification and calculating various statistical measures.
Imputation - rate (S.18.5.1)
The imputation rate shows the share of imputed values among all values. The imputation rate for gross wages and salaries in 2023 was 8.29%.
Adjustment (S.18.6)
Seasonally unadjusted indicators are published in Statistics Estonia's database.
Seasonal adjustment (S.18.6.1)
Seasonally unadjusted indicators are published in Statistics Estonia's database.
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