Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
The Labour Force Survey (LFS) is a survey of the population of private households, student halls of residence and NHS accommodation.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Labour market indicators for UK countries and regions, including employment, unemployment and economic inactivity, rolling three-monthly figures published monthly, seasonally adjusted. Labour Force Survey. These are official statistics in development.
Official statistics are produced impartially and free from political influence.
Official statistics are produced impartially and free from political influence.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Labour market status by ethnic group, UK, published quarterly, non-seasonally adjusted. Labour Force Survey. These are official statistics in development.
Introducing Job Posting Datasets: Uncover labor market insights!
Elevate your recruitment strategies, forecast future labor industry trends, and unearth investment opportunities with Job Posting Datasets.
Job Posting Datasets Source:
Indeed: Access datasets from Indeed, a leading employment website known for its comprehensive job listings.
Glassdoor: Receive ready-to-use employee reviews, salary ranges, and job openings from Glassdoor.
StackShare: Access StackShare datasets to make data-driven technology decisions.
Job Posting Datasets provide meticulously acquired and parsed data, freeing you to focus on analysis. You'll receive clean, structured, ready-to-use job posting data, including job titles, company names, seniority levels, industries, locations, salaries, and employment types.
Choose your preferred dataset delivery options for convenience:
Receive datasets in various formats, including CSV, JSON, and more. Opt for storage solutions such as AWS S3, Google Cloud Storage, and more. Customize data delivery frequencies, whether one-time or per your agreed schedule.
Why Choose Oxylabs Job Posting Datasets:
Fresh and accurate data: Access clean and structured job posting datasets collected by our seasoned web scraping professionals, enabling you to dive into analysis.
Time and resource savings: Focus on data analysis and your core business objectives while we efficiently handle the data extraction process cost-effectively.
Customized solutions: Tailor our approach to your business needs, ensuring your goals are met.
Legal compliance: Partner with a trusted leader in ethical data collection. Oxylabs is a founding member of the Ethical Web Data Collection Initiative, aligning with GDPR and CCPA best practices.
Pricing Options:
Standard Datasets: choose from various ready-to-use datasets with standardized data schemas, priced from $1,000/month.
Custom Datasets: Tailor datasets from any public web domain to your unique business needs. Contact our sales team for custom pricing.
Experience a seamless journey with Oxylabs:
Effortlessly access fresh job posting data with Oxylabs Job Posting Datasets.
http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence
Unemployment numbers and rates for those aged 16 or over. The unemployed population consists of those people out of work, who are actively looking for work and are available to start immediately.
Unemployed numbers and rates also shown for equalities groups, by age, sex, ethnic group, and disability. Economic inactivity rates and numbers for regions.
The data are taken from the Labour Force Survey and Annual Population Survey, produced by the Office for National Statistics.
The data are produced monthly on a rolling quarterly basis. The month shown is the month the quarter ends on.
International Labour Organization define unemployed people as: without a job, want a job, have actively sought work in the last 4 weeks and are available to start work in the next 2 weeks, or, out of work, have found a job and are waiting to start it in the next 2 weeks.
The figures in this dataset are adjusted to compensate for seasonal variations in employment (Seasonally adjusted).
Data by equalities groups has a longer time lag and is only available quarterly from the Annual Population Survey, which is not seasonally adjusted.
Click http://www.ons.gov.uk/ons/rel/subnational-labour/regional-labour-market-statistics/index.html">here for Regional labour market statistics from the Office for National Statistics
Click http://www.ons.gov.uk/ons/rel/lms/labour-market-statistics/index.html">here for Labour market statistics from the Office for National Statistics
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
Monitoring and assessing the Employment Insurance (EI) program helps provide a clear understanding of its impact on the Canadian economy and its effectiveness in addressing the needs of Canadian workers, their families and their employers. These files include data from Annex 1 Key Labour Market Statistics Data Tables.
http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence
Contains the latest data for employment, economic activity, economic inactivity, unemployment, claimant count, average earnings, productivity, unit wage costs, vacancies and labour disputes.
Source agency: Office for National Statistics
Designation: National Statistics
Language: English
Alternative title: LMS
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).
http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence
Labour Market Statistics for Northern Ireland (employment, unemployment).
Source agency: Finance and Personnel (Northern Ireland)
Designation: National Statistics
Language: English
Alternative title: Labour Force Survey Quarterly Supplement
Attribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
License information was derived automatically
This file contains data dictionaries for the following datasets within LMIP (http://lmip.gov.au/):
Summary Data Employment by Industry Employment by Industry Time Series Employment Projections by Industry Employment by occupation Unemployment Rate, Participation Rate & Employment Rate Time Series for States/Territories Unemployment Duration Population by Age Group Population by Age Group Time Series Population by Labour Force Status
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset presents data on the summary statistics of employment and population for metropolitan areas following the Greater Capital City Statistical Area (GCCSA) regions as of December 2020. The boundaries for this dataset follow the 2016 edition of the Australian Statistical Geography Standard (ASGS).
The Australian Department of Education, Skills and Employment publishes a range of labour market data on its Labour Market Information Portal. 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.
AURIN has spatially enabled the original data. Data Source: ABS Labour Force Survey. All statistics are 12-month averages of original data, December 2020. The ABS advises that analysis of regional labour force estimates should typically be based on annual averages, which are important for understanding the state of the labour market and providing medium and long-term signals. The application of annual averages, however, is unlikely to accurately or quickly detect turning points in the regional data during periods of significant change (such as during the onset of the COVID-19 pandemic). Original data at the ABS Statistical Area 4 (SA4) level can be found in Table 16
Number of persons in the labour force (employment and unemployment), unemployment rate, participation rate and employment rate by province, gender and age group. Data are presented for 12 months earlier, previous month and current month, as well as year-over-year and month-to-month level change and percentage change. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Labour force status by Labour market region (ASGS) and Sex, as described by the Australian Bureau of Statistics.https://www.abs.gov.au/statistics/labour/employment-and-unemployment/labour-force-australia-detailed/latest-release#labour-market-regions-sa4-
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Employment by industry and sex, UK, published quarterly, non-seasonally adjusted. Labour Force Survey. These are official statistics in development.
This analysis uses longitudinal data from the Labour Force Survey (LFS) to show the movement, or flow, between employment, unemployment and inactivity from one quarter to the next. These flows show the underlying movements which sit behind published headline labour market rates which, in contrast, take a snapshot of the Labour Market at a point in time. Flows are also used to calculate the probability that an individual will change labour market status over the quarter.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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 7 July 2025: The figures of 2024 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.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
This report provides a back series of some of the Labour Force Survey’s key variables. It contains data spanning a period of over 20 years and examines trends over time and changes in the NI labour market structure.
Source agency: Northern Ireland Statistics and Research Agency
Designation: National Statistics
Language: English
Alternative title: LFS Historical Supplement
Number and percentage of residents aged 16-64 who are in employment by sex (000's) (seasonally adjusted), for rolling quarters since 1992 by region and country. The figures in this dataset are adjusted to compensate for seasonal variations in employment. Figures are released every month for rolling quarters. Data from ONS Table HI00. The data are taken from the Labour Force Survey and Annual Population Survey, produced by the Office for National Statistics. Click here to visit the Regional labour market statistics pages from the Office for National Statistics Note: From 17 December 2024, the Office for National Statistics (ONS) reweighted Labour Force Survey (LFS) estimates, affecting data from January to March 2019 onwards. This reweighting, based on updated 2022 population projections, creates a discontinuity with data prior to January - March 2019. To mitigate this, ONS has modelled seasonally adjusted UK employment, unemployment, and economic inactivity rates and levels by sex and age band back to 2011, ensuring comparability for key measures.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
The Labour Force Survey (LFS) is a survey of the population of private households, student halls of residence and NHS accommodation.