This table provides annual and quarterly data about the employment of employees and the labour volume of employees. The labour volume is given in jobs (by sex), full-time equivalent (fte) and hours worked. The seasonal adjusted time series about the compensation of employees and the wages & salaries are also available in this table.

Data available from: first quarter 1995 through first quarter 2014

Status of the figures: The figures concerning 2011,2012,2013 and the first quarter 2014 are (revised) provisional. Because this table is discontinued, figures will not be updated anymore.

Changes as of June 25th 2014: None, this table is discontinued.

When will new figures be published? Not applicable anymore.

This table is replaced by Labour Accounts; compensation of employees, quarterly. See paragraph 3.

Labour statistics consistent with the System of National Accounts (SNA), by economic regions, job category and work schedule.

This table provides annual data about the employment of employees and self-employed persons. It contains annual data on employed persons, jobs, full-time equivalent (fte) and hours worked. Data available from: 1969 through 2012 Status of the figures: The figures concerning 2011 and 2012 are (revised) provisional. Because this table is discontinued, figures will not be updated anymore. Changes as of June 25th 2014: None, this table is discontinued. When will new figures be published? Not applicable anymore. This table is replaced by Labour Accounts; employment, economic activity, sex. See paragraph 3.

Slovenia Labour Force: Registered: EP: Self Employed Persons: Own-Account Workers data was reported at 7,151.000 Person in Feb 2025. This records an increase from the previous number of 7,046.000 Person for Jan 2025. Slovenia Labour Force: Registered: EP: Self Employed Persons: Own-Account Workers data is updated monthly, averaging 6,484.500 Person from Jan 2000 (Median) to Feb 2025, with 302 observations. The data reached an all-time high of 7,160.000 Person in Dec 2008 and a record low of 5,759.000 Person in Mar 2000. Slovenia Labour Force: Registered: EP: Self Employed Persons: Own-Account Workers data remains active status in CEIC and is reported by Statistical Office of the Republic of Slovenia. The data is categorized under Global Database’s Slovenia – Table SI.G020: Registered Labour Force.

This table provides annual data about the compensation of employees, and the labour volume of employees. The labour volume is given in jobs (by sex and by full-time or part-time), full-time equivalent (fte) hours paid, hours agreed and hours worked.

Data available from: 1969 through 2012

Status of the figures: The figures concerning 2011 and 2012 are (revised) provisional. Because this table is discontinued, figures will not be updated anymore.

Changes as of June 25th 2014: None, this table is discontinued.

When will new figures be published? Not applicable anymore.

This table is replaced by Labour Accounts; compensation of employees, economic activity. See paragraph 3.

This dataset presents aggregated data regarding all of the jobs within the relevant statistical regions, including the number of employee jobs and median employee income per job by sex, classified by Statistical Area Level 2 (SA2). The data spans from 2014-15 to 2018-19 financial year and is aggregated to the 2016 SA2 boundaries. Jobs in Australia provide aggregate statistics and are sourced from the Linked Employer-Employee Dataset (LEED). It provides new information about filled jobs in Australia, the people who hold them, and their employers. The job counts in this release differ from the filled job estimates from other sources such as the Australian Labour Account and the Labour Force Australia. The Jobs in Australia release provides insights into all jobs held throughout the year, while the Labour Account data provides the number of filled jobs at a point-in-time each quarter (and annually for the financial year reference period), and Labour Force Survey data measures the number of people employed each month. For more information on the release please visit the Australian Bureau of Statistics This release provides statistics on the number and nature of jobs, the people who hold them, and their employers. These statistics can be used to understand regional labour markets or to identify the impact of major changes in local communities. The release also provides new insights into the number of jobs people hold, the duration of jobs, and the industries and employment income of concurrent jobs. The scope of these data includes individuals who submitted an individual tax return to the Australian Taxation Office (ATO), individuals who had a Pay As You Go (PAYG) payment summary issued by an employer and their employers. AURIN has spatially enabled the original data. The following additional changes were made:

Where data was not published for confidential reasons, "np" in the original data, the records have been set to null.

Total values may be higher than the sum of the published components due to this confidentialisation.

Totals are higher than the sum of their components due to data which could not be classified to component characteristics.

Mexico Employment: Workers by Their Own Account as % of Total Labour Force data was reported at 22.489 % in Mar 2019. This records a decrease from the previous number of 22.785 % for Feb 2019. Mexico Employment: Workers by Their Own Account as % of Total Labour Force data is updated monthly, averaging 22.774 % from Jan 2005 (Median) to Mar 2019, with 171 observations. The data reached an all-time high of 24.541 % in Sep 2009 and a record low of 20.277 % in Nov 2010. Mexico Employment: Workers by Their Own Account as % of Total Labour Force data remains active status in CEIC and is reported by National Institute of Statistics and Geography. The data is categorized under Global Database’s Mexico – Table MX.G011: Employment Rate: ENOE 2015: Age 15 and Above. Since May 2013, Unemployment Rate is not comparable to prior months due to the new population projection data from CONAPO are incorporated.

This table contains 11685 series, with data for years 1997 - 2011 (not all combinations necessarily have data for all years), and was last released on 2013-05-15. This table contains data described by the following dimensions (Not all combinations are available): Geography (15 items: Newfoundland and Labrador; Canada; Nova Scotia; Prince Edward Island ...), Sector (3 items: Total economy; Non-business sector; Business sector ...), Labour productivity measures and related measures (15 items: Total number of jobs; Number of employee jobs; Number of self-employed jobs; Hours worked for all jobs ...), North American Industry Classification System (NAICS) (19 items: All industries; Agriculture; forestry; fishing and hunting ...).

This table contains quarterly and yearly figures on labour participation in the Netherlands. The population of 15 to 74 years of age (excluding the institutionalized population) is divided into the employed labour force, the unemployed labour force and those not in the labour force. The employed labour force is subdivided on the basis of the professional status, and the average working hours. A division by sex, age and level of education is available.

Data available from: 2013

Status of the figures: The figures in this table are final.

Changes as of May 27, 2025: The figures for the 1st quarter 2025 have been added.

Changes as of August 23, 2022: None, this is a new table. This table has been compiled on the basis of the Labor Force Survey (LFS). Due to changes in the research design and the questionnaire of the LFS, the figures for 2021 are not automatically comparable with the figures up to and including 2020. The key figures in this table have therefore been made consistent with the (non-seasonally adjusted) figures in the table Arbeidsdeelname, kerncijfers seizoengecorrigeerd (see section 4), in which the outcomes for the period 2013-2020 have been recalculated to align with the outcomes from 2021. When further detailing the outcomes according to job and personal characteristics, there may nevertheless be differences from 2020 to 2021 as a result of the new method.

When will new figures be released? New figures will be published in August 2025.

Background
The Labour Force Survey (LFS) is a unique source of information using international definitions of employment and unemployment and economic inactivity, together with a wide range of related topics such as occupation, training, hours of work and personal characteristics of household members aged 16 years and over. It is used to inform social, economic and employment policy. The LFS was first conducted biennially from 1973-1983. Between 1984 and 1991 the survey was carried out annually and consisted of a quarterly survey conducted throughout the year and a 'boost' survey in the spring quarter (data were then collected seasonally). From 1992 quarterly data were made available, with a quarterly sample size approximately equivalent to that of the previous annual data. The survey then became known as the Quarterly Labour Force Survey (QLFS). From December 1994, data gathering for Northern Ireland moved to a full quarterly cycle to match the rest of the country, so the QLFS then covered the whole of the UK (though some additional annual Northern Ireland LFS datasets are also held at the UK Data Archive). Further information on the background to the QLFS may be found in the documentation.

Longitudinal data
The LFS retains each sample household for five consecutive quarters, with a fifth of the sample replaced each quarter. The main survey was designed to produce cross-sectional data, but the data on each individual have now been linked together to provide longitudinal information. The longitudinal data comprise two types of linked datasets, created using the weighting method to adjust for non-response bias. The two-quarter datasets link data from two consecutive waves, while the five-quarter datasets link across a whole year (for example January 2010 to March 2011 inclusive) and contain data from all five waves. A full series of longitudinal data has been produced, going back to winter 1992. Linking together records to create a longitudinal dimension can, for example, provide information on gross flows over time between different labour force categories (employed, unemployed and economically inactive). This will provide detail about people who have moved between the categories. Also, longitudinal information is useful in monitoring the effects of government policies and can be used to follow the subsequent activities and circumstances of people affected by specific policy initiatives, and to compare them with other groups in the population. There are however methodological problems which could distort the data resulting from this longitudinal linking. The ONS continues to research these issues and advises that the presentation of results should be carefully considered, and warnings should be included with outputs where necessary.

New reweighting policy
Following the new reweighting policy ONS has reviewed the latest population estimates made available during 2019 and have decided not to carry out a 2019 LFS and APS reweighting exercise. Therefore, the next reweighting exercise will take place in 2020. These will incorporate the 2019 Sub-National Population Projection data (published in May 2020) and 2019 Mid-Year Estimates (published in June 2020). It is expected that reweighted Labour Market aggregates and microdata will be published towards the end of 2020/early 2021.

LFS Documentation
The documentation available from the Archive to accompany LFS datasets largely consists of the latest version of each user guide volume alongside the appropriate questionnaire for the year concerned. However, volumes are updated periodically by ONS, so users are advised to check the latest documents on the ONS Labour Force Survey - User Guidance pages before commencing analysis. This is especially important for users of older QLFS studies, where information and guidance in the user guide documents may have changed over time.

Additional data derived from the QLFS
The Archive also holds further QLFS series: End User Licence (EUL) quarterly data; Secure Access datasets; household datasets; quarterly, annual and ad hoc module datasets compiled for Eurostat; and some additional annual Northern Ireland datasets.

Variables DISEA and LNGLST
Dataset A08 (Labour market status of disabled people) which ONS suspended due to an apparent discontinuity between April to June 2017 and July to September 2017 is now available. As a result of this apparent discontinuity and the inconclusive investigations at this stage, comparisons should be made with caution between April to June 2017 and subsequent time periods. However users should note that the estimates are not seasonally adjusted, so some of the change between quarters could be due to seasonality. Further recommendations on historical comparisons of the estimates will be given in November 2018 when ONS are due to publish estimates for July to September 2018.

An article explaining the quality assurance investigations that have been conducted so far is available on the ONS Methodology webpage. For any queries about Dataset A08 please email Labour.Market@ons.gov.uk.

Occupation data for 2021 and 2022 data files

The ONS has identified an issue with the collection of some occupational data in 2021 and 2022 data files in a number of their surveys. While they estimate any impacts will be small overall, this will affect the accuracy of the breakdowns of some detailed (four-digit Standard Occupational Classification (SOC)) occupations, and data derived from them. Further information can be found in the ONS article published on 11 July 2023: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/articles/revisionofmiscodedoccupationaldataintheonslabourforcesurveyuk/january2021toseptember2022" style="background-color: rgb(255, 255, 255);">Revision of miscoded occupational data in the ONS Labour Force Survey, UK: January 2021 to September 2022.

2022 Weighting

The population totals used for the latest LFS estimates use projected growth rates from Real Time Information (RTI) data for UK, EU and non-EU populations based on 2021 patterns. The total population used for the LFS therefore does not take into account any changes in migration, birth rates, death rates, and so on since June 2021, and hence levels estimates may be under- or over-estimating the true values and should be used with caution. Estimates of rates will, however, be robust.

Latest edition information

For the second edition (February 2025), the data file was resupplied with the 2024 weighting variable included (LGWT24).

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This table presents data on the labour income share and the components used to calculate it. The labour income share is a measure of the distribution of earned income between providers of labour (employees and the self-employed) and providers of capital. Data available from: 1995. Status of the figures: Data from 1995 up to and including 2021 are final. Data of 2022 and 2023 are provisional. Changes as of June 24th 2024: This is a new table. Statistics Netherlands has carried out a revision of the national accounts. The Dutch national accounts are recently revised. New statistical sources, methods and concepts are implemented in the national accounts, in order to align the picture of the Dutch economy with all underlying source data and international guidelines for the compilation of the national accounts. This table contains revised data. For further information see section 3. When will new figures be published? Provisional data are published 6 months after the end of the reporting year. Final data are released 18 months after the end of the reporting year.

Abstract

The Labour Force Survey (LFS) is a statistical study of the households selected by the appropriate method. The objective of the survey is providing information on not only well-known employment and unemployment as well as providing comprehensive information on other standard indicators characterizing the country labour market.

Geographic coverage

National

Analysis unit

• Households
• Individuals

Kind of data

Sample survey data [ssd]

Sampling procedure

A two stage stratified sample by regions (marzes) has been designed to conduct the survey. The method of systematic probability sampling was used to frame the sample. Yerevan and all marzes with rural and urban settlements were covered by sample population with proportion of all HH available in these strata.

Based on the administrative and territorial division of RA at the first stage of sampling, the preliminary sampling units, i.e. enumeration areas were selected. 2001 Armenian Population Census results were used to calculate the mentioned proportions for 2014 LFS and 2011 Census results for 2015 LFS.

At the second stage of sampling the primary sampling units, that are HHs to be surveyed, were randomly selected. As a result, during the 2014 year have been surveyed 7680 HHs, of which 5 160 urban and 2520 rural areas. During the 2015 have been surveyed 7788 HHs, of which 4 752 urban and 3 036 rural areas.

At the same time a reserve sample was selected by the same steps, because it was anticipated that in most cases the questionnaire may not be completed due to household's refusal to participate in the survey, absence from the republic or other reasons. As a result, the HHs not participated in the survey were replaced from the reserve sample. The selection of households (HH) has been done monthly by the rotation principle.

Mode of data collection

Face-to-face [f2f]

Research instrument

The design of the questionnaire, used concepts, set of indicators and calculation methodology, sampling method basically comply with the definitions and concepts recommended by the ILO and Eurostat, while taking into account the peculiarities of their application in Armenia to the extent possible, at the same time, by providing the comparability with the international similar indicators.

Laos Employment: Own Account Worker: Children 10 to 14 Years data was reported at 9,271.000 Person in 2005. Laos Employment: Own Account Worker: Children 10 to 14 Years data is updated yearly, averaging 9,271.000 Person from Mar 2005 (Median) to 2005, with 1 observations. Laos Employment: Own Account Worker: Children 10 to 14 Years data remains active status in CEIC and is reported by Lao Statistics Bureau. The data is categorized under Global Database’s Laos – Table LA.G012: Labour Force Survey: Age 10 and Over: Employment by Work Status.

This table provides information on labour price developments, i.e. the development of wage costs per hour worked by employees, corrected for changes in the personnel structure. The labor price index divides the total increase in wage costs per hour worked into a price component and a structural effect. Data available from: 2001 Status of the figures: Data from 2001 up to and including 2022 are final. The figures concerning 2023 and 2024 are provisional. Changes as of January 31st 2025: Compared to the previous version the figures for the reference period '2024 January - 2024 December' are added and the figures are adjusted for the period '2023 October - 2024 September'. When will new figures become available? New figures are published three to four months after the end of the reference period.

This table contains yearly figures on the attachment of people to the labour market for the special municipalities Bonaire, St. Eustatius and Saba (the Caribbean Netherlands). The population of 15 to 74 years of age (excluding the institutionalized population) is divided into the employed labour force and the non-employed labour force. The employed labour force is subdivided on the basis of whether they want to work more or not. The non-employed labour force is subdivided into the unemployed and those not in the labour force. Those not in the labour force are subdivided based on the search and availability criteria. A division by sex, age and level of education is available.

Data available from: 2012

Status of the figures: The figures in this table are final.

Changes as of 28 June 2023: The figures of 2022 are added.

Changes as of 26 April 2019: The figures of 2018 are added Because of a programming error the figures about wanting to work more hours, and not wanting to work more hours in the previous version of this table were incorrect. Too little people were wrongly assigned to the group who wants to work more hours. This is corrected in this version of the table. The figures about the highest level of education have been revised. The revision concerns people who attended common years of education (avo). Where they previously had an intermediate level of education, they now receive a low level of education, following the format used for the European Netherlands.

When will new figures be published? New figures will be published every two years.

The Australian Government Department of Jobs and Small Business publishes a range of labour market data on its Labour Market Information Portal website (lmip.gov.au). The link below provides data from the Labour Force Survey conducted by the Australian Bureau of Statistics. The boundaries used in this survey are known as Statistical Area 4 regions. The data provided includes unemployment rate, employment rate, participation rate, youth unemployment rate, unemployment duration, population by age group and employment by industry and occupation.

Thailand Emp: WK: NM: Own Account data was reported at 7,420.800 Person th in Jul 2018. This records a decrease from the previous number of 7,764.800 Person th for Jun 2018. Thailand Emp: WK: NM: Own Account data is updated monthly, averaging 7,398.300 Person th from Jan 2014 (Median) to Jul 2018, with 55 observations. The data reached an all-time high of 7,931.600 Person th in Aug 2014 and a record low of 6,968.700 Person th in Apr 2017. Thailand Emp: WK: NM: Own Account data remains active status in CEIC and is reported by National Statistical Office. The data is categorized under Global Database’s Thailand – Table TH.G022: Labour Force Survey: Age 15 and Over: Employment by Work Status.

This dataset presents aggregated data regarding employee jobs and median employee income per job, classified by industry subdivision at Statistical Area Level 2 (SA2). The data spans over the 2014-15 financial year and is aggregated to the 2016 SA2 boundaries.

Jobs in Australia provide aggregate statistics and are sourced from the Linked Employer-Employee Dataset (LEED). It provides new information about filled jobs in Australia, the people who hold them, and their employers. An 'employee Job' refers to a job for which the occupant receives remuneration in wages, salary, payment in kind, or piece rates. This excludes self-employment jobs held by Owner-Managers of Unincorporated Enterprises (OMUE).

The job counts in this release differ from the filled job estimates from other sources such as the Australian Labour Account and the Labour Force Australia. The Jobs in Australia release provides insights into all jobs held throughout the year, while the Labour Account data provides the number of filled jobs at a point-in-time each quarter (and annually for the financial year reference period), and Labour Force Survey data measures the number of people employed each month.

For more information on the release please visit the Australian Bureau of Statistics

This release provides statistics on the number and nature of jobs, the people who hold them, and their employers. These statistics can be used to understand regional labour markets or to identify the impact of major changes in local communities. The release also provides new insights into the number of jobs people hold, the duration of jobs, and the industries and employment income of concurrent jobs.

The scope of these data includes individuals who submitted an individual tax return to the Australian Taxation Office (ATO), individuals who had a Pay As You Go (PAYG) payment summary issued by an employer and their employers.

AURIN has spatially enabled the original data. The following additional changes were made:

• Where data was not published for confidential reasons, "np" in the original data, the records have been set to null.

• Total values may be higher than the sum of the published components due to this confidentialisation.

This dataset presents aggregated data regarding employed persons within the relevant statistical regions, including the number of employee jobs and median employee income per job by sex, classified by Greater Capital City Statistical Area (GCCSA). The data spans from 2011-12 to 2017-18 financial year and is aggregated to the 2016 GCCSA boundaries.

Jobs in Australia provide aggregate statistics and are sourced from the Linked Employer-Employee Dataset (LEED). It provides new information about filled jobs in Australia, the people who hold them, and their employers. Employee person refers to any person with one or more job. Employed persons in this publication can be employees, owner-managers of unincorporated enterprises, or both. Employed persons are persons who have employment income in the reference year, excluding those whose employment income is made up entirely of an employment termination payment. Employed persons have one or more jobs on the job file.

The job counts in this release differ from the filled job estimates from other sources such as the Australian Labour Account and the Labour Force Australia. The Jobs in Australia release provides insights into all jobs held throughout the year, while the Labour Account data provides the number of filled jobs at a point-in-time each quarter (and annually for the financial year reference period), and Labour Force Survey data measures the number of people employed each month.

For more information on the release please visit the Australian Bureau of Statistics

This release provides statistics on the number and nature of jobs, the people who hold them, and their employers. These statistics can be used to understand regional labour markets or to identify the impact of major changes in local communities. The release also provides new insights into the number of jobs people hold, the duration of jobs, and the industries and employment income of concurrent jobs.

The scope of these data includes individuals who submitted an individual tax return to the Australian Taxation Office (ATO), individuals who had a Pay As You Go (PAYG) payment summary issued by an employer and their employers.

AURIN has spatially enabled the original data. The following additional changes were made:

• Where data was not published for confidential reasons, "np" in the original data, the records have been set to null.

• Total values may be higher than the sum of the published components due to this confidentialisation.