Abstract copyright UK Data Service and data collection copyright owner.

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...

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

The number of unemployed persons in Norway increased to 77452 in February of 2025 from 77437 in January of 2025. This dataset provides - Norway Unemployed Persons - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Abstract copyright UK Data Service and data collection copyright owner.The National Readership Surveys are conducted quarterly either by the British Market Research Bureau or by Research Services Ltd. (1956 - 1959 Research Services Ltd; 1960 - 1967 British Market Research Bureau; 1968 - 1973 Research Services Ltd; 1974 - 1976 British Market Research Bureau; from 1977 onwards Research Services Ltd.). These surveys are designed principally to provide detailed information about the newspaper and magazine reading habits of the British people. The sponsors are virtually all the leading newspaper proprietors and advertising agencies in the country; many leading manufacturers were also consulted over the plan of the surveys. All surveys are substantially the same in form and content. Further details are available from the Archive upon application. Main Topics: Variables Region and polling district; town size; % Labour to Conservative in constituency; % jurors to electorate in polling district; classification of informant & household; social grade of household; household composition; age; age when finished full-time education; type of school/college last attended; qualifications obtained; accent of informant; whether informant occupied; occupation of informant/head of household; smoking habits; drinking habits; camera usage; use of cosmetics; monthly general magazine readership; monthly women's magazine readership; national Sunday newspaper - detailed reading habits (where read, who pays, no. times read in week); daily national newspaper - detailed reading habits (where read, who pays, no. times read in day); cinema visiting; TV viewing; Radio Luxembourg listening; national morning newspaper readership; provincial morning newspaper readership; evening newspaper readership; Sunday national newspaper readership; household composition (detailed); no. electors in household/institution; home tenure; description of dwelling; household status of informant; sex and marital status; occupational details (i.e. industry, social grade etc.); income cohort; whether has PO savings or bank account; ownership of stocks shares or holdings in a unit trust; ownership of selected durable goods; car ownership; whether informant buys most petrol; selected publications, detailed reading habits (who pays, where read, no. times read); whether informant DIY person; ownership of household pets (cats, dogs, birds); holiday away from home; holiday abroad; Sunday provincial newspaper readership. earlier surveys only.

A Polling District is a geographical subdivision of an electoral area such as an electoral Ward within which a polling place is designated. The Representation of the People Act 1983 places a duty on LA to divide the local authority area into polling districts based on ward boundaries, and to designate a polling place for each district. LAs also have a duty to keep these polling arrangements under review. The Electoral Administration Act 2006 introduced amendments to the 1983 Act (which in turn has been superseded by The Electoral Administration Act 2013). Now local authorities must conduct a full review (with public consultation) of its polling districts and polling places every four years, however adjustments to the boundaries of polling districts and the designation of polling places within LA wards can be proposed at any time in response to changes in ward boundaries or to the availability of premises that can be reasonably designated as polling places. The Fifth Review of Electoral Arrangements concluded in May 2016 when the LGBCS made recommendations to Scottish Ministers for the number of Councillors and the electoral ward boundaries in each of Scotland's 32 local authorities. The review recommended changes in 30 LA areas of which all but 5 were accepted and came into force on 30th Sept 2016. As a result, ward boundaries (and therefore polling districts and possibly polling places) were changed after this date in time for the May 2017 elections. The following fields are now MANDATORY fields for this dataset. "district_code" - The polling district code linked to the polling place "UPRN" - The Unique Property Reference Number for the Corporate Address Gazeteer record of the polling place "polling_place" - The name and/or address of the polling place (based on the Corporate Address Gazeteer record)

Abstract copyright UK Data Service and data collection copyright owner.The Scottish Young People Survey (SYPS), a cohort series, began in 1984, subsuming the Scottish Qualified School Leavers Surveys, (GN 33237). It is a postal survey in which questionnaires are initially sent to young people approximately nine months after they have left school or have completed their 4th year in secondary school. Each survey cycle comprises two studies; a longitudinal survey of a school-year-group cohort and a cross-sectional survey of school leavers. The sample and design of the two studies overlap. The Cohort constituent of each cycle, chosen every two years, takes in a sample of students in their 4th year at school who then receive questionnaires the following Spring as part of the Spring Survey. Each cohort is then surveyed after an interval of two years six months. The School Leavers constituent of each cycle is a cross-sectional survey of school leavers. It takes place in the Spring at two-yearly intervals, and has been conducted since 1977 in its present form, though a study of qualified school leavers started back in 1962 (see GN: 33237). The 1983/84 Cohort began in 1985. The two study groups were: - a school-year group of people who were in their last compulsory year (4th year) in Session 1983-84 - a school-leaver group of people who left from any school year (3rd, 4th, 5th or 6th) in Session 1983-84 People who left school from 4th year in 1983-84 were represented in both samples. A second sweep of the school-year group cohort was carried out in 1986. The 1985/86 Cohort began in 1987. The two study groups were: - a school-year group of people who were in their last compulsory year (4th year) in Session 1985-86 - a school-leaver group of people who left from any school year (3rd, 4th, 5th or 6th) in Session 1985-6 People who left school from 4th year in 1985-86 were represented in both samples. A second sweep of the school-year group cohort was carried out in Autumn 1989 The 1987/88 Cohort began in 1989. The two study groups were: - a school-year-group of people who were in their last compulsory year (4th year) in Session 1987-88 - a school-leaver group of people who left from any school year (3rd, 4th, 5th or 6th) in Session 1987-88 People who left school from 4th year in 1987-88 were represented in both samples. A second sweep of the school-year group cohort was carried out in 1991. The 1989/90 cohort began in 1991. The two study groups were: - a school-year group of people who were in their last compulsory year (4th year) in Session 1989-90 - a school-leaver group of people who left from any school year (3rd, 4th, 5th or 6th) in Session 1989-90 People who left school from 4th year in 1989-90 were represented in both samples. Following a review of the use made of the findings by the Scottish Office Education Department, the survey was redesigned in 1991 and became the Scottish School Leavers Survey (SSLS) (GN: 33266). Main Topics: The Questionnaires In order to make the questions pertinent to the respondents' experiences and to reduce the overall number they are required to answer, the questionnaires are divided into several different types and targeted according to the status of the respondent. (i.e. the stage of leaving). The following topics were covered in the series: education; post-school destinations; entry to labour market; employment; unemployment; training; YTS/employment schemes; further and higher education; attainment and aspirations of young people; attitudes to training/education; attitudes to school and after; social background. For topics pertaining to particular studies please see description for each individual study. The topics covered in the 1987/88 School Leavers survey were post-school destinations; employment; unemployment; further education; attitudes to training/education.

Energy projects are being implemented in humanitarian contexts across the globe. These excel spreadsheets include all known past and present energy projects that have taken place in refugee camps, IDP communities, and other crisis-affected populations throughout the world, and were collected by the Global Alliance for Clean Cookstoves on behalf of the Safe Access to Fuel & Energy (SAFE) Humanitarian Working Group. To view full descriptions of the projects represented here, please visit www.safefuelandenergy.org/where-we-work.

This project listing was created as part of an effort to enhance coordination of activities, encourage collaboration, and share knowledge between organizations working on Safe Access to Fuel and Energy (SAFE) in humanitarian settings. Projects included in this database are those that improve access to fuel or energy for cooking, lighting, heating, or powering among crisis-affected populations. By crisis-affected populations we mean refugees, internally displaced people (IDPs), or those affected by natural disaster or prolonged conflict.

Examples of applicable energy interventions include providing solar lighting, manufacturing and/or distributing cookstoves and fuels, setting up mini grids for camp electrification, establishing and managing woodlots for fuel provision and environmental protection, improving protection mechanisms for women during firewood collection, and many others, provided they take place among crisis-affected populations.

The SAFE Humanitarian Working Group is a consortium of partners including UNHCR, FAO, WFP, the Global Alliance for Clean Cookstoves, the Women's Refugee Commission, International Lifeline Fund, Mercy Corps, UNICEF, and other agencies.

If you know of additional energy projects that are not shown here, please contact us at info@safefuelandenergy.org.