This data collection supplies standard monthly labor force data for the week prior to the survey. Comprehensive information is given on the employment status, occupation, and industry of persons 14 years old and older. Additional data are available concerning weeks worked and hours per week worked, reason not working full-time, total income and income components, and residence. Supplemental data focus on occupational mobility, job training, and length of time at current job, and length of time worked continuously for the present employer. Information is also furnished on whether specific skills or training were required to obtain or retain the current job. If so, types of educational or training programs are identified and additional data regarding these programs are included. Information on demographic characteristics such as, age, sex, race, marital status, veteran status, household relationship, educational background, and Hispanic origin, is available for each person in the household enumerated.

Supplementary information on involuntary job loss and occupational training programs is provided in this collection, in addition to standard monthly Current Populaion Survey data on labor force activity. Workers who lost a job within the previous five years due to operating decisions of their employer were surveyed. Data include the reasons for job displacement, industry and occupation, job tenure and earnings, and health and unemployment benefits. The occupational training portion of the collection contains data on training program attended within the past two years, including the number, length, and type of programs attended, as well as the source of payment. The monthly labor force information includes data for persons age 14 and older on employment status, occupation, and industry. Demographic data such as age, sex, race, marital status, veteran status, education, household relationship, and Spanish origin are also provided. (Source: ICPSR, retrieved 06/23/2011)

This data collection supplies standard monthly labor force data for the week prior to the survey. Comprehensive information is given on the employment status, occupation, and industry of persons 14 years old and older. Additional data are available concerning weeks worked and hours per week worked, reason not working full-time, total income and income components, and residence. Besides the CPS core questions, this survey also gathered supplemental data on job tenure and occupational mobility for employed persons aged 16 and older, including items such as occupation and labor force status a year ago, length of time with present employer, length of time in the same occupation, and reasons for changing occupation. Also included in this data file is information on residence one year earlier and education since January 1980. Information on demographic characteristics, such as age, sex, race, marital status, veteran status, educational attainment, household relationship, and Hispanic origin, is available for each person in the household enumerated. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR -- https://doi.org/10.3886/ICPSR08115.v3. We highly recommend using the ICPSR version as they made this dataset available in multiple data formats.

This data collection is comprised of responses from two sets of survey questionnaires, the basic Current Population Survey (CPS) and a survey administered as a supplement to the January CPS questionnaire on the topic of Displaced Workers, Employee Tenure, and Occupational Mobility in the United States. The CPS, administered monthly, collects labor force data about the civilian noninstitutional population living in the United States. Moreover, the CPS provides current estimates of the economic status and activities of this population which includes estimates of total employment (both farm and nonfarm), nonfarm self-employed persons, domestics, and unpaid helpers in nonfarm family enterprises, wage and salaried employees, and estimates of total unemployment. Data from the CPS are provided for the week prior to the administration of the survey. All persons eligible for the labor force items of the basic CPS were also eligible for the supplement. The supplement was designed to be a proxy response supplement, meaning a single respondent could provide answers for all eligible household members, provided the respondent was a household member 15 years of age or older. Persons 20 years of age and older, who lost or left a job involuntarily within the last three years (based on operating decisions of a firm, plant, or business in which the worker was employed) were eligible for the first part of the supplement, which consisted of the Displaced Workers items. Persons 15 years of age and older who were employed during the reference week were eligible for the second part of the supplement, which consisted of the Employee Tenure and Occupational Mobility items. Respondents were queried on reasons for job displacement, industry and occupation of the former job, group health insurance coverage, job tenure, and weekly earnings. Additional data refer to periods of unemployment as well as number of jobs held, use of unemployment benefits, whether residence was changed to seek work in another area, current health insurance coverage, and current weekly earnings. Although the main purpose of the survey was to collect information on an individual's employment situation, a very important secondary purpose was to collect information on demographic characteristics such as age, sex, race, Hispanic origin, marital status, veteran status, educational attainment, family relationship, occupation, and income.

The Current Population Survey Tobacco Use Supplement data collection from January 2015 is comprised of responses from two sets of survey questionnaires, the basic Current Population Survey (CPS) and a Tobacco Use Supplement (TUS) survey. The TUS 2014-2015 Wave consists of three collections: July 2014, January 2015, and May 2015. The CPS, administered monthly, is the source of the official government statistics on employment and unemployment. From time to time, additional questions are included on health, education, and previous work experience. The Tobacco Use Supplement to the CPS is a National Cancer Institute sponsored survey of tobacco use that has been administered as part of the US Census Bureau's CPS approximately every 3-4 years since 1992-1993. Similar to other CPS supplements, the Tobacco Use Supplement was designed for both proxy and self-respondents. All CPS household members age 18 and older who completed CPS core items in January 2015 were eligible for the supplement items. A new feature for the 2014-2015 cycle included random selection of self-interviewed respondents in larger households to reduce respondent burden. If the household had only 1 supplement eligible member then that person was selected for self-interview. If the household had only 2 supplement eligible members, then both of them were selected for self-interview. If the household had 3 or 4 supplement eligible members, then 2 of them were randomly selected for self-interview and the remaining were interviewed by proxy. If the household had more than 4 supplement eligible members, then 3 of them were randomly selected for self-interview and the rest of the eligible respondents were interviewed by proxy. Those selected for self-interview were eligible for the entire supplement, whereas proxy respondents were only eligible for an abbreviated interview. Occasionally, those persons to be interviewed by proxy, if available for self- interview, were interviewed directly but asked the abbreviated proxy path questions. Both proxy and self-respondents were asked about their smoking status and the use of other tobacco products. For self-respondents only, different questions were asked depending on their tobacco use status: for former/current smokers, questions were asked about type of cigarettes smoked, measures of addiction, attempts to quit smoking, methods and treatments used to quit smoking, and if they were planning to quit in the future. All self-respondents were asked about smoking policy at their work place and their attitudes towards smoking in different locations. Demographic information within this collection includes age, sex, race, Hispanic origin, marital status, veteran status, immigration status, educational background, employment status, occupation, and income.

This data collection is comprised of responses from two sets of survey questionnaires, the basic Current Population Survey (CPS) and a survey administered as a supplement to the January CPS questionnaire on the topic of displaced workers, employee tenure, and occupational mobility in the United States.The CPS, administered monthly, collects labor force data about the civilian noninstitutional population living in the United States. Moreover, the CPS provides current estimates of the economic status and activities of this population which includes estimates of total employment (both farm and nonfarm), nonfarm self-employed persons, domestics, and unpaid helpers in nonfarm family enterprises, wage and salaried employees, and estimates of total unemployment. Data from the CPS are provided for the week prior to the administration of the survey.All persons eligible for the labor force items of the basic CPS were also eligible for the supplement. The supplement was designed to be a proxy response supplement, meaning a single respondent could provide answers for all eligible household members, provided the respondent was a household member 15 years of age or older. Persons 20 years of age and older, who lost or left a job in the last 3 years for selected reasons, were eligible for the first part of the supplement, which consists of the displaced workers items. Employed persons 15 years of age and older were eligible for the second part of the supplement, which consists of the employee tenure and occupational mobility items.Respondents were queried on involuntary job loss within the last three years based on operating decisions of a firm, plant, or business, reasons for job displacement, industry and occupation of the former job, group health insurance coverage, job tenure, and weekly earnings. Additional data refer to periods of unemployment as well as number of jobs held, use of unemployment benefits, whether residence was changed to seek work in another area, and current health insurance coverage.Demographic variables include age, sex, race, Hispanic origin, marital status, veteran status, educational attainment, family relationship, occupation, and income.

This file provides data on labor force activity for the week prior to the survey. Comprehensive data are provided on the employment status, occupation, and industry of persons 14 years and over. Characteristics such as age, sex, race, marital status, household relationship, education background, and Spanish origin are shown for each perosn in the households enumerated. Data are also provided on occupational mobility and job tenure. This data include working or doing some type of work a year ago, as well as occupation and industry one year ago. Data are also available concerning year (and month if year is 1977) started working at present job or business.

The Current Population Survey Civic Engagement and Volunteering (CEV) Supplement is the most robust longitudinal survey about volunteerism and other forms of civic engagement in the United States. Produced by AmeriCorps in partnership with the U.S. Census Bureau, the CEV takes the pulse of our nation’s civic health every two years. The data on this page was collected in September 2021. The CEV can generate reliable estimates at the national level, within states and the District of Columbia, and in the largest twelve Metropolitan Statistical Areas to support evidence-based decision making and efforts to understand how people make a difference in communities across the country. Click on "Export" to download and review an excerpt from the 2021 CEV Analytic Codebook that shows the variables available in the analytic CEV datasets produced by AmeriCorps. Click on "Show More" to download and review the following 2021 CEV data and resources provided as attachments: 1) 2021 CEV Dataset Fact Sheet – brief summary of technical aspects of the 2021 CEV dataset. 2) CEV FAQs – answers to frequently asked technical questions about the CEV 3) Constructs and measures in the CEV 4) 2021 CEV Analytic Data and Setup Files – analytic dataset in Stata (.dta), R (.rdata), SPSS (.sav), and Excel (.csv) formats, codebook for analytic dataset, and Stata code (.do) to convert raw dataset to analytic formatting produced by AmeriCorps. These files were updated on January 16, 2025 to correct erroneous missing values for the ssupwgt variable. 5) 2021 CEV Technical Documentation – codebook for raw dataset and full supplement documentation produced by U.S. Census Bureau 6) Nonresponse Bias Analysis produced by U.S. Census Bureau 7) 2021 CEV Raw Data and Read In Files – raw dataset in Stata (.dta) format, Stata code (.do) and dictionary file (.dct) to read ASCII dataset (.dat) into Stata using layout files (.lis)

The Current Population Survey Civic Engagement and Volunteering (CEV) Supplement is the most robust longitudinal survey about volunteerism and other forms of civic engagement in the United States. Produced by AmeriCorps in partnership with the U.S. Census Bureau, the CEV takes the pulse of our nation’s civic health every two years. The data on this page was collected in September 2023. The next wave of the CEV will be administered in September 2025.

The CEV can generate reliable estimates at the national level, within states and the District of Columbia, and in the largest twelve Metropolitan Statistical Areas to support evidence-based decision making and efforts to understand how people make a difference in communities across the country.

Click on "Export" to download and review an excerpt from the 2023 CEV Analytic Codebook that shows the variables available in the analytic CEV datasets produced by AmeriCorps.

Click on "Show More" to download and review the following 2023 CEV data and resources provided as attachments:

1) 2023 CEV Dataset Fact Sheet – brief summary of technical aspects of the 2023 CEV dataset. 2) CEV FAQs – answers to frequently asked technical questions about the CEV 3) Constructs and measures in the CEV 4) 2023 CEV Analytic Data and Setup Files – analytic dataset in Stata (.dta), R (.rdata), SPSS (.sav), and Excel (.csv) formats, codebook for analytic dataset, and Stata code (.do) to convert raw dataset to analytic formatting produced by AmeriCorps. These files were updated on January 16, 2025 to correct erroneous missing values for the ssupwgt variable. 5) 2023 CEV Technical Documentation – codebook for raw dataset and full supplement documentation produced by U.S. Census Bureau 6) 2023 CEV Raw Data and Read In Files – raw dataset in Stata (.dta) format, Stata code (.do) and dictionary file (.dct) to read ASCII dataset (.dat) into Stata using layout files (.lis)

This data collection is comprised of responses from two sets of survey questionnaires, the basic Current Population Survey (CPS) and a survey on the topic of displaced workers, employee tenure, and occupational mobility in the United States, which was administered as a supplement to the January CPS questionnaire. The CPS, administered monthly, is a labor force survey providing current estimates of the economic status and activities of the population of the United States. Specifically, the CPS provides estimates of total employment (both farm and nonfarm), nonfarm self-employed persons, domestics, and unpaid helpers in nonfarm family enterprises, wage and salaried employees, and estimates of total unemployment. Data from the CPS are provided for the week prior to the survey. All persons eligible for the labor force items of the basic CPS were also eligible for the supplement. The supplement was designed to be a proxy response supplement, meaning a single respondent could provide answers for all eligible household members, provided the respondent was a household member 15 years of age or older. Persons 20 years of age and older, who lost or left a job in the last three years for selected reasons, were eligible for the first part of the supplement, which consists of the displaced workers items. Employed persons 15 years of age and older were eligible for the second part of the supplement, which consists of the employee tenure and occupational mobility items. Respondents were queried on involuntary job loss within the last three years based on operating decisions of a firm, plant, or business, reasons for job displacement, industry and occupation of the former job, group health insurance coverage, job tenure, and weekly earnings. Additional data refer to periods of unemployment as well as number of jobs held, use of unemployment benefits, whether residence was changed to seek work in another area, and current health insurance coverage. Near the conclusion of the supplement, the household was asked a few questions about job losses due to Hurricane Katrina, which struck the Gulf Coast area in August 2005. Demographic variables include age, sex, race, Hispanic origin, marital status, veteran status, educational attainment, occupation, and income.

Abstract (en): This data collection is comprised of responses from two sets of survey questionnaires, the basic Current Population Survey (CPS) and a survey administered as a supplement to the January 2009 CPS questionnaire on the topic of Unbanked and Underbanked Households. This is the first time this particular supplement was administered.The CPS, administered monthly, collects labor force data about the civilian noninstitutionalized population living in the United States. Moreover, the CPS provides current estimates of the economic status and activities of this population which includes estimates of total employment (both farm and nonfarm), nonfarm self-employed persons, domestics, and unpaid helpers in nonfarm family enterprises, wage and salaried employees, and estimates of total unemployment. Data from the CPS are provided for the week prior to the administration of the survey. The Federal Deposit Insurance Corporation (FDIC) sponsored the supplement survey as part of its efforts to bring unbanked and underbanked consumers into the economic mainstream. The FDIC plans to use the results to better inform policy-making on issues related to economic inclusion. The supplement questions were asked of all interviewed households, as appropriate. Respondents were queried on their households banking status, use of financial services, and use of alternative financial services like payday lending. The Unbanked/Underbanked supplement was conducted at the household level.Demographic variables include age, sex, race, Hispanic origin, marital status, veteran status, educational background, occupation, industry, and income. The following description pertains to the CPS supplement variables. Item HES1 determined if anyone in the household had a checking or savings account. Items HES1b and HES2 established how knowledgeable the interviewee was regarding the household finances. Those who responded as having no knowledge of or did not specify their level of involvement in the household finances were not asked any further questions. Items HES4-HES6 and HES7a, HES8a, HES9a, and HES10a were asked to those households that were previously banked, but closed their deposit account with a mainstream financial institution. Items HES7b, HES8b, HES9b, and HES10b related to reasons why the household never had an account in a mainstream financial institution. Items HES11-HES13 applied to all unbanked households (except for those who responded yes to HES5) and asked about the likelihood of them opening an account. HES14-HES31 applied to all households, regardless of their banking status. These questions asked about the use of certain financial products and services that were most commonly used by the unbanked and underbanked population. The questions also asked about frequency of use and reasons why the household chose to use alternative financial service providers or products, as opposed to mainstream financial institutions. The basic CPS data contain seven weight variables: Household Weight -- HWHHWGT -- Used for tallying household characteristics.; Family Weight -- PWFMWGT -- Used only for tallying family characteristics.; Longitudinal Weight -- PWLGWGT -- Found only on adult records matched from month to month (used for gross flows analysis).; Outgoing Rotation Weight -- PWORWGT -- Used for tallying information collected only in outgoing rotations.; Final Weight -- PWSSWGT -- Used for most tabulations, controlled to independent estimates for (1) States; (2) Origin, Sex, and Age; and (3) Age, Race, and Sex.; Veteran's Weight -- PWVETWGT -- Used for tallying veteran's data only.; Composited Final Weight -- PWCMPWGT -- Used to create BLS's published labor force statistics.; There are also two weights associated with the January 2009 supplement, a household supplement weight (HHSUPWGT) and a person supplement weight (PWSUPWGT). Users are strongly encouraged to refer to the User Guide for detailed information on how to use all of the weights, as well as how they were derived. The basic CPS universe consists of all persons aged 16 years and older in the civilian noninstitutionalized population living in households of the United States. The January 2009 supplement universe represented the full CPS sample comprised of all interviewed CPS households. A multistage probability sample, based on the results of the most recent decennial census with coverage in all 50 states and the District of Columbia, was selected to represent the universe of approxima...

Analysis of ‘Tobacco Use Supplement to the Current Population Survey (TUS-CPS) Data’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/2fa8dff5-d821-4b5a-a95c-7372bddc02cd on 28 January 2022.

--- Dataset description provided by original source is as follows ---

1992-1993, 1995-1996, 1998-1999, 2001-2002, 2003, 2006-2007, 2010-2011, 2014-2015. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. TUS-CPS Survey Data. The Current Population Survey is a monthly survey of about 50,000 households conducted by the Bureau of the Census for the Bureau of Labor Statistics. The survey has been conducted for more than 50 years. Estimates obtained from the CPS include employment, unemployment, earnings, hours of work, and other indicators. Supplemental surveys include questions about a variety of topics, including an annual social and economic supplement, school enrollment, work schedules, voting and registration, job tenure and occupational mobility, food security, and tobacco use.

The data for the STATE System were obtained through the Tobacco Use Supplement to the Current Population Survey (TUS-CPS). Tobacco topics included are cigarette smoking status, cigarette smoking prevalence by demographics, cigarette smoking frequency, cigarette consumption, quit attempts, cigar use, pipe use, smokeless tobacco use, and smokefree rules/policies in homes and worksites.

--- Original source retains full ownership of the source dataset ---

Data are provided in this collection on labor force activity for the week prior to the survey. Comprehensive data are available on the employment status, occupation, and industry of persons 15 years old and older. Also shown are personal characteristics such as age, sex, race, marital status, veteran status, household relationship, educational background, and Hispanic origin. In addition to providing these core data, this survey also contains a special supplement on tobacco use for all persons surveyed. This supplement includes information on cigarette smoking and use of other tobacco products such as pipes, cigars, chewing tobacco, and snuff. Respondents answered a set of detailed questions tailored to their smoking status, such as how many cigarettes they smoked per day, and whether respondents had smoked everyday for the past six months. Additionally, respondents were asked whether the medical community had advised them to quit smoking or if they were planning to quit in the near future. Detailed questions on smoking policies in the respondents' workplace and smoking at home were also asked.

The Census Bureau has six regional offices to facilitate data collection, data dissemination and geographic operations within their boundary. The surveys these office collect information for include the American Community Survey (ACS), the Consumer Expenditure Survey, the Current Population Survey, the National Crime Victimization Survey, the National Health Interview Survey and the Survey of Construction.

Survey data files: Current Population Survey Basic Monthly data aggregated from January 2005 till August 2014 from the Early Effects of the 2010 Affordable Care Act on Labor Market Outcomes project

Abstract copyright UK Data Service and data collection copyright owner.

The Annual Population Survey (APS) household datasets are produced annually and are available from 2004 (Special Licence) and 2006 (End User Licence). They allow production of family and household labour market statistics at local areas and for small sub-groups of the population across the UK. The household data comprise key variables from the Labour Force Survey (LFS) and the APS 'person' datasets. The APS household datasets include all the variables on the LFS and APS person datasets, except for the income variables. They also include key family and household-level derived variables. These variables allow for an analysis of the combined economic activity status of the family or household. In addition, they also include more detailed geographical, industry, occupation, health and age variables.

For further detailed information about methodology, users should consult the Labour Force Survey User Guide, included with the APS documentation. For variable and value labelling and coding frames that are not included either in the data or in the current APS documentation, users are advised to consult the latest versions of the LFS User Guides, which are available from the ONS Labour Force Survey - User Guidance webpages.

Occupation data for 2021 and 2022
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. None of ONS' headline statistics, other than those directly sourced from occupational data, are affected and you can continue to rely on their accuracy. Further information can be found in the ONS article published on 11 July 2023: Revision of miscoded occupational data in the ONS Labour Force Survey, UK: January 2021 to September 2022

End User Licence and Secure Access APS data
Users should note that there are two versions of each APS dataset. One is available under the standard End User Licence (EUL) agreement, and the other is a Secure Access version. The EUL version includes Government Office Region geography, banded age, 3-digit SOC and industry sector for main, second and last job. The Secure Access version contains more detailed variables relating to:

• age: single year of age, year and month of birth, age completed full-time education and age obtained highest qualification, age of oldest dependent child and age of youngest dependent child
• family unit and household: including a number of variables concerning the number of dependent children in the family according to their ages, relationship to head of household and relationship to head of family
• nationality and country of origin
• geography: including county, unitary/local authority, place of work, Nomenclature of Territorial Units for Statistics 2 (NUTS2) and NUTS3 regions, and whether lives and works in same local authority district
• health: including main health problem, and current and past health problems
• education and apprenticeship: including numbers and subjects of various qualifications and variables concerning apprenticeships
• industry: including industry, industry class and industry group for main, second and last job, and industry made redundant from
• occupation: including 4-digit Standard Occupational Classification (SOC) for main, second and last job and job made redundant from
• system variables: including week number when interview took place and number of households at address

The Secure Access data have more restrictive access conditions than those made available under the standard EUL. Prospective users will need to gain ONS Accredited Researcher status, complete an extra application form and demonstrate to the data owners exactly why they need access to the additional variables. Users are strongly advised to first obtain the standard EUL version of the data to see if they are sufficient for their research requirements.
For the second edition (July 2015) an updated version of the data was deposited, weighted to 2014 population figures (based on Census 2011). The new weighting variable is PHHWTA14. An updated APS user guide is also available.
Main Topics:
Topics covered include: household composition and relationships, housing tenure, nationality, ethnicity and residential history, employment and training (including government schemes), workplace and location, job hunting, educational background and qualifications.

The Current Population Survey Civic Engagement and Volunteering (CEV) Supplement is the most robust longitudinal survey about volunteerism and other forms of civic engagement in the United States. Produced by AmeriCorps in partnership with the U.S. Census Bureau, the CEV takes the pulse of our nation’s civic health every two years. The data on this page was collected in September 2017. The CEV can generate reliable estimates at the national level, within states and the District of Columbia, and in the largest twelve Metropolitan Statistical Areas to support evidence-based decision making and efforts to understand how people make a difference in communities across the country. This page was updated on January 16, 2025 to ensure consistency across all waves of CEV data. Click on "Export" to download and review an excerpt from the 2017 CEV Analytic Codebook that shows the variables available in the analytic CEV datasets produced by AmeriCorps. Click on "Show More" to download and review the following 2017 CEV data and resources provided as attachments: 1) CEV FAQs – answers to frequently asked technical questions about the CEV 2) Constructs and measures in the CEV 3) 2017 CEV Analytic Data and Setup Files – analytic dataset in Stata (.dta), R (.rdata), SPSS (.sav), and Excel (.csv) formats, codebook for analytic dataset, and Stata code (.do) to convert raw dataset to analytic formatting produced by AmeriCorps. 4) 2017 CEV Technical Documentation – codebook for raw dataset and full supplement documentation produced by U.S. Census Bureau 5) 2017 CEV Raw Data and Read In Files – raw dataset in Stata (.dta) format, Stata code (.do) and dictionary file (.dct) to read ASCII dataset (.dat) into Stata using layout files (.lis)

This dataset from the Bureau of Labor Statistics provides monthly estimates regarding total employment and unemployment, which together comprise the labor force. The unemployment rate is the percentage of people in the labor force who are unemployed. Our data extract lists all data published for North Carolina’s counties from January 2019 to the present. This dataset is a comprehensive nationwide representation using estimates derived from the national Current Population Survey (CPS) and American Community Survey 5-year estimates. No disaggregations by demographic or worker characteristics are included in the unemployment rate estimate. Time series reports for each variable (employment, unemployment, and labor force) are available for each geography (county) using the BLS multi-screen data tool. Preliminary estimates are released within 30 days of each month and finalized within another 30 days, resulting in a 2-month data lag. The data is available for a variety of geographic areas, including states, MSAs, counties, cities and towns, and other census regions.

Abstract (en): Using recent results in the measurement error literature, we show that the official US unemployment rate substantially underestimates the true level of unemployment, due to misclassification errors in the labor force status in the Current Population Survey. During the period from January 1996 to August 2011, the corrected monthly unemployment rates are between 1 and 4.4 percentage points (2.1 percentage points on average) higher than the official rates, and are more sensitive to changes in business cycles. The labor force participation rates, however, are not affected by this correction.

The Annual Population Survey (APS) is a major survey series, which aims to provide data that can produce reliable estimates at the local authority level. Key topics covered in the survey include education, employment, health and ethnicity. The APS comprises key variables from the Labour Force Survey (LFS), all its associated LFS boosts and the APS boost. The APS aims to provide enhanced annual data for England, covering a target sample of at least 510 economically active persons for each Unitary Authority (UA)/Local Authority District (LAD) and at least 450 in each Greater London Borough. In combination with local LFS boost samples, the survey provides estimates for a range of indicators down to Local Education Authority (LEA) level across the United Kingdom.

For further detailed information about methodology, users should consult the Labour Force Survey User Guide, included with the APS documentation. For variable and value labelling and coding frames that are not included either in the data or in the current APS documentation, users are advised to consult the latest versions of the LFS User Guides, which are available from the ONS Labour Force Survey - User Guidance webpages.

Occupation data for 2021 and 2022
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. None of ONS' headline statistics, other than those directly sourced from occupational data, are affected and you can continue to rely on their accuracy. The affected datasets have now been updated. Further information can be found in the ONS article published on 11 July 2023: Revision of miscoded occupational data in the ONS Labour Force Survey, UK: January 2021 to September 2022

APS Well-Being Datasets
From 2012-2015, the ONS published separate APS datasets aimed at providing initial estimates of subjective well-being, based on the Integrated Household Survey. In 2015 these were discontinued. A separate set of well-being variables and a corresponding weighting variable have been added to the April-March APS person datasets from A11M12 onwards. Further information on the transition can be found in the Personal well-being in the UK: 2015 to 2016 article on the ONS website.

APS disability variables
Over time, there have been some updates to disability variables in the APS. An article explaining the quality assurance investigations on these variables that have been conducted so far is available on the ONS Methodology webpage.

• age: single year of age, year and month of birth, age completed full-time education and age obtained highest qualification, age of oldest dependent child and age of youngest dependent child
• family unit and household: including a number of variables concerning the number of dependent children in the family according to their ages, relationship to head of household and relationship to head of family
• nationality and country of origin
• geography: including county, unitary/local authority, place of work, Nomenclature of Territorial Units for Statistics 2 (NUTS2) and NUTS3 regions, and whether lives and works in same local authority district
• health: including main health problem, and current and past health problems
• education and apprenticeship: including numbers and subjects of various qualifications and variables concerning apprenticeships
• industry: including industry, industry class and industry group for main, second and last job, and industry made redundant from
• occupation: including 4-digit Standard Occupational Classification (SOC) for main, second and last job and job made redundant from
• system variables: including week number when interview took place and number of households at address

The Secure Access data have more restrictive access conditions than those made available under the standard EUL. Prospective users will need to gain ONS Accredited Researcher status, complete an extra application form and demonstrate to the data owners exactly why they need access to the additional variables. Users are strongly advised to first obtain the standard EUL version of the data to see if they are sufficient for their research requirements.

Latest edition information

For the second edition (June 2025) updated versions of the weighting variables NPWT22, PIWTA22 and PWTA22 were added to the study. The reason for the adjustment is an issue ONS identified during a recent review of the weighting method, related to the application of the non-response adjustment for boost cases. In addition, the variable YLESS20 was also updated, and DIFFHR6 was replaced with DIFFHR20. Previously missing imputed values for 'IOUTCOME=6' cases have been added.