Labour market status of disabled people, UK, published quarterly, non-seasonally adjusted. Labour Force Survey. These are official statistics in development.

Labour force status for adults with disabilities, by disability type and global severity, sex and age group, occasional.

Differences in the type of disabilities (grouped) persons with disabilities have in terms of those employed, unemployed, or not in the labour force, as well as the participation rate, the employment rate and the unemployment rate, between the ages of 25 and 64, Canada, provinces and territories.

This dataset provides Census 2021 estimates that classify usual residents aged 16 years and over in England and Wales by economic activity status, by hours worked and by disability. The estimates are as at Census Day, 21 March 2021.

As Census 2021 was during a unique period of rapid change, take care when using this data for planning purposes. Read more about this quality notice.

Area type

Census 2021 statistics are published for a number of different geographies. These can be large, for example the whole of England, or small, for example an output area (OA), the lowest level of geography for which statistics are produced.

For higher levels of geography, more detailed statistics can be produced. When a lower level of geography is used, such as output areas (which have a minimum of 100 persons), the statistics produced have less detail. This is to protect the confidentiality of people and ensure that individuals or their characteristics cannot be identified.

Coverage

Census 2021 statistics are published for the whole of England and Wales. Data are also available in these geographic types:

• country - for example, Wales
• region - for example, London
• local authority - for example, Cornwall
• health area – for example, Clinical Commissioning Group
• statistical area - for example, MSOA or LSOA

Economic activity status and hours worked

This is a combination of the economic activity and hours worked variables to categorise people who are in employment by the number of hours that they work per week. It also includes those who are unemployed or economically inactive.

Disability - Equality act disabled

People who assessed their day-to-day activities as limited by long-term physical or mental health conditions or illnesses are considered disabled. This definition of a disabled person meets the harmonised standard for measuring disability and is in line with the Equality Act (2010).

This table shows working age population that has a disability and Employment, unemployment, economic activity and inactivity rates by disability (includes Equalities Act Core disabled, DDA & work-limiting disabled) The definition of ‘disability’ under the Equality Act 2010 shows a person has a disability if: - they have a physical or mental impairment - the impairment has a substantial and long-term adverse effect on their ability to perform normal day-to-day activities For the purposes of the Act, these words have the following meanings: - 'substantial' means more than minor or trivial - 'long-term' means that the effect of the impairment has lasted or is likely to last for at least twelve months (there are special rules covering recurring or fluctuating conditions) - 'normal day-to-day activities' include everyday things like eating, washing, walking and going shopping There are additional provisions relating to people with progressive conditions. People with HIV, cancer or multiple sclerosis are protected by the Act from the point of diagnosis. People with some visual impairments are automatically deemed to be disabled. 18/03/2015 Data has been reweighted in line with the latest ONS estimates. 2013 data is not available for disability measures from this survey. Due to changes in the health questions on the Annual Population Survey there is quite a large discontinuity in the estimates from the Apr 2012 to Mar 2013 period onwards. These became available again from the Apr 2013 to March 2014 period as new variables. 95% confidence interval of percent figure (+/-).

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).

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 policyFollowing 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 filesThe 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: Revision of miscoded occupational data in the ONS Labour Force Survey, UK: January 2021 to September 2022.2022 WeightingThe 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. Main Topics:The two-quarter longitudinal datasets include a subset of the most commonly used variables from the Quarterly Labour Force Survey (QLFS), covering the main areas of the survey.

For the fourth edition (May 2012), a new data file has been deposited, weighted to 2010 population figures. A new version of the longitudinal user guide has been added to the documentation.

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.

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.

Abstract

Objectives: The main objective of the survey was to collect data on the problems of disabled people in their working and daily lives, and their expectations from institutions, and based on these data to develop effective policies in the related fields. Based on this study, basic indicators describing the main characteristics (education, health, working status, social services etc.) of disabled individuals, who are in the registered National Disabled People Database created by General Directorate of Services for Disabled Persons and Elderly, have been obtained. Also information on the problems and expectations they face in their daily lives has been obtained. Results of the survey are presented to the users by types of disability, sex, and urban-rural.

Reference Period: Na

Periodicity of Data Collection: Irregular (surveys in 2002 and 2007)

Geographic coverage

Whole country

Analysis unit

Individuals

Universe

Population groups: 15 years and over

Total population covered: Based on the medical report, 280040, disabled individuals are registered in the National Disabled People Database (established and maintained by General Directorate of Services for Disabled Persons and Elderly), and live in private households

Economic activities: All economic activities

Sectors covered: All sectors

Labor force status: Employed persons, unemployed persons, persons outside labour force

Status in Employment: Employees, employers, own-account workers, contributing family workers, members of producers' cooperatives

Establishments: NR

Other limitations:

Classifications: Age, sex, region, type of disability, occupation

Cross-classification: Na

Kind of data

Sample survey data [ssd]

Frequency of data collection

Periodicity of Data collection: Irregular (surveys in 2002 and 2007)

This study was deposited in 2008, as a result of the move from seasonal to calendar quarters for the QLFS, and the reweighting process to 2007-2008 population figures. It combines data from previously-available QLFS seasonal five-quarter longitudinal datasets. The depositor has advised that small revisions to the data may have been made during this process, but they should not be significant.

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.

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.

Attitudinal/Behavioural Questions Labour market history, job search, role of labour market agencies, health and disability, Benefits, material living standards, financial position, family relations, attitudes to unemployment. Background Variables Age, sex, marital status, family size, housing, tenure, ethnicity, educational qualifications. Measurement Scales Area of residence was classified by means of the Acorn system. Occupational data were assessed by means of the Hope-Goldthorpe scale of occupational desirability. The 12-item scale of the General Health Questionnaire was used in the 1981 interview. Many of the items concerning labour market experiences were similar to those used in the MSC/PSI Cohort Study of the Unemployed (SN:1991). Questions on education and health were largely based on GHS items (SN:33090), and questions on housing on the National Dwelling and Housing Survey (SN:1738). Two stage procedure: (a) 200 Benefit Offices drawn with probability proportional to number of Face-to-face interview 1980 1981 ADMINISTRATIVE AREAS AGE ALLERGIES APPLICATION FOR EMP... ARTHRITIS ASTHMA ATTITUDES BOREDOM BRONCHITIS CARDIOVASCULAR DISE... CARE OF DEPENDANTS CAREER DEVELOPMENT CENTRAL HEATING CHILD BENEFITS CHILD CARE CHILDREN CONDITIONS OF EMPLO... CONSTIPATION COSTS DEBTS DECISION MAKING DEPRESSION DIABETES DIGESTIVE SYSTEM DI... DISABLED PERSONS DISEASES DISMISSAL DOMESTIC RESPONSIBI... DRIVING EDUCATIONAL ATTENDANCE EDUCATIONAL BACKGROUND EDUCATIONAL TESTS ELDERLY EMPLOYEES EMPLOYMENT EMPLOYMENT ABROAD EMPLOYMENT HISTORY EMPLOYMENT OPPORTUN... EMPLOYMENT PROGRAMMES EMPLOYMENT SERVICES EXPENDITURE FAMILIES FAMILY COHESION FAMILY MEMBERS FINANCIAL RESOURCES FINANCIAL SUPPORT FOOT DISORDERS FRIENDS FURNISHED ACCOMMODA... GAS SUPPLY GENDER Great Britain HEADS OF HOUSEHOLD HEALTH HEATING SYSTEMS HOLIDAYS HOME OWNERSHIP HOME SHARING HOURS OF WORK HOUSEHOLDS HOUSEWIVES HOUSING HOUSING TENURE IMMIGRATION INDUSTRIES INTERPERSONAL COMMU... INTERVIEWING FOR JOB JOB CHANGING JOB DESCRIPTION JOB HUNTING JOB REQUIREMENTS JOB VACANCIES LEARNING DISABILITIES LEISURE TIME ACTIVI... LICENCES LOANS MARITAL STATUS MENOPAUSE MENSTRUATION MENTAL DISORDERS MORTGAGES MOTOR VEHICLES MUSCULOSKELETAL DIS... NATIONAL BACKGROUND OCCUPATIONAL QUALIF... OCCUPATIONAL TRAINING OCCUPATIONS PAIN PERSONAL CONTACT PLACE OF BIRTH PLACE OF RESIDENCE PRIVATE SECTOR PROMOTION JOB PUBLIC SECTOR QUALIFICATIONS RATES REBATES RECRUITMENT REDUNDANCY REDUNDANCY PAY RENTED ACCOMMODATION RENTS RESIDENTIAL MOBILITY RETIREMENT ROOMS SAVINGS SCHOOL MEALS SICK PERSONS SKIN DISEASES SOCIABILITY SOCIAL HOUSING SOCIAL SECURITY SOCIAL SECURITY BEN... SOCIAL SECURITY CON... SOCIAL SUPPORT SOCIAL WELFARE SPOUSE S ECONOMIC A... SPOUSES STATE AID STATE RETIREMENT PE... STRESS PSYCHOLOGICAL STUDENTS TERMINATION OF SERVICE TRADE UNION MEMBERSHIP TRADE UNIONS TRAINING TRUANCY UNEMPLOYED UNEMPLOYMENT UNEMPLOYMENT BENEFITS UNFURNISHED ACCOMMO... Unemployment WAGES WORK ATTITUDE WORKING CONDITIONS WORKPLACE

This data deposit includes qualitative and quantitative data that help answer the question: Which people do the public think should be classified as 'incapacitated'? How should this be assessed? And should they be threatened with benefit sanctions if they don't do what Jobcentres ask them to do? More people claim out-of-work incapacity benefits than unemployment benefits in the UK, and this has been true throughout the recent recession - but we know little about what the public think about incapacity benefits. The data collection consists of: (1) Quantitative data: includes a comparative YouGov study of the UK and Norway, giving each respondent three pen-portraits ('vignettes') of different sorts of disabled and non-disabled benefit claimant to see which factors influence the public's responses. It also includes a follow-up study in the UK using the NatCen online panel. (2) Qualitative data include the results from six focus groups with the general public in the England in 2016, which also used vignettes but allowed a deeper investigation of how the public debated the situation of each one.Over a million older people claim incapacity benefits in Britain, on the grounds that their health or disability stops them from working - four times as many as those claiming unemployment benefits, despite the downturn. But what does it actually mean to say that someone is 'incapacitated'? Take two people with identical impairments: a London-based graduate and an unskilled person in Merthyr Tydfil. The graduate may have better working conditions, an employer who is more willing to change the job to fit them, or be able to find another job that their health permits them to do. The unskilled worker may have none of these options, particularly if they are older and therefore more likely to have lower qualifications, to be biologically 'slowing down', and to face age-related discrimination. It is these ‘non-medical factors’ that are the focus of this project. The research firstly involves a statistical analysis of working conditions, adjustments and the availability of work in the UK and Europe. It then looks at whether the public and elites think that non-medical factors should be taken into account in assessing incapacity, using both a new survey and a series of workshops with different groups. This data deposit includes three data sources: 1. YouGov UK/Norway survey, sampled from YouGov's opt-in panel 2. NatCen UK survey, sampled from the NatCen online follow-up of the representative British Social Attitudes survey 3. Focus groups from the UK

Abstract copyright UK Data Service and data collection copyright owner. The Annual Population Survey (APS) is a major survey series, which aims to provide data that can produce reliable estimates at 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) (held at the UK Data Archive under GN 33246), all of its associated LFS boosts and the APS boost. Thus, the APS combines results from five different sources: the LFS (waves 1 and 5); the English Local Labour Force Survey (LLFS), the Welsh Labour Force Survey (WLFS), the Scottish Labour Force Survey (SLFS) and the Annual Population Survey Boost Sample (APS(B) - however, this ceased to exist at the end of December 2005, so APS data from January 2006 onwards will contain all the above data apart from APS(B)). Users should note that the LLFS, WLFS, SLFS and APS(B) are not held separately at the UK Data Archive. For further detailed information about methodology, users should consult the Labour Force Survey User Guide, selected volumes of which have been included with the APS documentation for reference purposes (see 'Documentation' table below). 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 such as the WLFS and SLFS, the survey provides estimates for a range of indicators down to Local Education Authority (LEA) level across the United Kingdom. APS Well-Being data Since April 2011, the APS has included questions about personal and subjective well-being. The responses to these questions have been made available as annual sub-sets to the APS Person level files. It is important to note that the size of the achieved sample of the well-being questions within the dataset is approximately 165,000 people. This reduction is due to the well-being questions being only asked of persons aged 16 and above, who gave a personal interview and proxy answers are not accepted. As a result some caution should be used when using analysis of responses to well-being questions at detailed geography areas and also in relation to any other variables where respondent numbers are relatively small. It is recommended that for lower level geography analysis that the variable UACNTY09 is used. As well as annual datasets, three-year pooled datasets are available. When combining multiple APS datasets together, it is important to account for the rotational design of the APS and ensure that no person appears more than once in the multiple year dataset. This is because the well-being datasets are not designed to be longitudinal e.g. they are not designed to track individuals over time/be used for longitudinal analysis. They are instead cross-sectional, and are designed to use a cross-section of the population to make inferences about the whole population. For this reason, the three-year dataset has been designed to include only a selection of the cases from the individual year APS datasets, chosen in such a way that no individuals are included more than once, and the cases included are approximately equally spread across the three years. Further information is available in the 'Documentation' section below. Secure Access APS Well-Being data Secure Access datasets for the APS Well-Being include additional variables not included in either the standard End User Licence (EUL) versions (see under GN 33357) or the Special Licence (SL) access versions (see under GN 33376). Extra variables that typically can be found in the Secure Access version but not in the EUL or SL versions relate to:geography, including:Postcodes Census Area Statistics (CAS) WardsCensus Output AreasNomenclature of Units for Territorial Statistics (NUTS) level 2 and 3 areasLower and Middle Layer Super Output AreasTravel to Work AreasUnitary authority / Local Authority District of place of work (main job)region of place of work for first and second jobsqualifications, education and training including level of highest qualification, qualifications from Government schemes, qualifications related to work, qualifications from school, qualifications from university of college and qualifications gained from outside the UK detailed ethnic group for Scottish respondentsdetailed religious denomination for Northern Irish respondentslength health problem has limited activity learning difficulty or learning disabilityoccupation in apprenticeship or second job number of bedrooms number of dependent children in household aged under 19Prospective users of the Secure Access version of the APS Well-Being will need to fulfil additional requirements, commencing with the completion of an extra application form to demonstrate to the data owners exactly why they need access to the extra, more detailed variables, in order to obtain permission to use that version. Secure Access data users must also complete face-to-face training and agree to the Secure Access User Agreement and Licence Compliance Policy (see 'Access' section below). Therefore, users are encouraged to download and inspect the EUL version of the data prior to ordering the Secure Access (or SL) version. Further details and links to all APS studies available from the UK Data Archive can be found via the APS Key Data series webpage. APS Well-Being Datasets: Information, July 2016 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. Users should no longer use the bespoke well-being datasets (SNs 6994, 6999, 7091, 7092, 7364, 7365, 7565, 7566 and 7961, but should now use the variables included on the April-March APS person datasets instead. Further information on the transition can be found on the Personal well-being in the UK: 2015 to 2016 Documentation and coding frames The APS is compiled from variables present in the LFS. For variable and value labelling and coding frames that are not included either in the data or in the current APS documentation (e.g. coding frames for education, industrial and geographic variables, which are held in LFS User Guide Vol.5, Classifications), 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. May 2018 Update Due to a change in the Travel-to-Work Area coding structure from 2001 to 2011, the variable TTWA9D has been relabelled in the pooled data file for 2012-2015. 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. Many of the variables included in the survey are the same as those in the LFS. Multi-stage stratified random sample Face-to-face interview Telephone interview 2011 2015 ACADEMIC ACHIEVEMENT ADULT EDUCATION ADVANCED LEVEL EXAM... ADVANCED SUPPLEMENT... AGE ANXIETY APPLICATION FOR EMP... APPRENTICESHIP ARMED FORCES ATTITUDES BEDROOMS BUSINESS AND TECHNO... CARE OF DEPENDANTS CERTIFICATE OF SECO... CERTIFICATE OF SIXT... CHILDREN CITY AND GUILDS OF ... COHABITATION Censuses DEBILITATIVE ILLNESS DEGREES DISABILITIES DISABLED PERSONS ECONOMIC ACTIVITY EDUCATIONAL BACKGROUND EDUCATIONAL CERTIFI... EDUCATIONAL COURSES EDUCATIONAL STATUS EMPLOYEES EMPLOYER SPONSORED ... EMPLOYMENT EMPLOYMENT HISTORY EMPLOYMENT PROGRAMMES EMPLOYMENT SERVICES ETHNIC GROUPS FAMILIES FIELDS OF STUDY FULL TIME EMPLOYMENT FURNISHED ACCOMMODA... FURTHER EDUCATION GENDER GENERAL CERTIFICATE... GENERAL NATIONAL VO... GENERAL SCOTTISH VO... HAPPINESS HEADS OF HOUSEHOLD HEALTH HEALTH STATUS HIGHER EDUCATION HIGHER NATIONAL CER... HOURS OF WORK HOUSEHOLDS HOUSING HOUSING TENURE ILL HEALTH INCOME INDUSTRIES JOB CHANGING JOB HUNTING LANDLORDS LEARNING DISABILITIES LONGTERM UNEMPLOYMENT Labour and employment MANAGERS MARITAL STATUS NATIONAL IDENTITY NATIONAL VOCATIONAL... NATIONALITY NURSING EDUCATION OCCUPATIONAL QUALIF... OCCUPATIONS ORDINARY LEVEL EXAM... ORDINARY NATIONAL C... OVERTIME PART TIME COURSES PART TIME EMPLOYMENT PLACE OF BIRTH PLACE OF RESIDENCE PRIVATE SECTOR PUBLIC SECTOR QUALIFICATIONS REDUNDANCY RELIGIOUS AFFILIATION RESIDENTIAL MOBILITY ROYAL SOCIETY OF AR... RURAL AREAS SCOTTISH CERTIFICAT... SCOTTISH VOCATIONAL... SCOTTISH VOCATIONAL... SELF EMPLOYED SICK LEAVE SMOKING SOCIAL SECURITY BEN... SOCIO ECONOMIC STATUS SPOUSES STUDENTS SUBSIDIARY EMPLOYMENT SUPERVISORS SUPERVISORY STATUS TEMPORARY EMPLOYMENT TERMINATION OF SERVICE TIED HOUSING TRAINING TRAINING COURSES UNEMPLOYED UNEMPLOYMENT UNFURNISHED ACCOMMO... UNWAGED WORKERS URBAN AREAS United Kingdom VOCATIONAL EDUCATIO... WAGES WELL BEING SOCIETY WORKING CONDITIONS WORKPLACE

2023 ABSENTEEISM ACADEMIC ACHIEVEMENT ACCIDENTS AT WORK ADULT EDUCATION ADVANCED LEVEL EXAM... ADVANCED SUPPLEMENT... AGE ALLERGIES APPRENTICESHIP ATTITUDES BONUS PAYMENTS BUSINESS AND TECHNO... CARDIOVASCULAR DISE... CARE OF DEPENDANTS CERTIFICATE OF SECO... CERTIFICATE OF SIXT... CHILD BENEFITS CHILD CARE CHILDREN CHRONIC ILLNESS CITY AND GUILDS OF ... COHABITATION CONDITIONS OF EMPLO... COVID 19 DEBILITATIVE ILLNESS DEGREES DEPRESSION DIABETES DIGESTIVE SYSTEM DI... DISABILITIES DISABLED PERSONS DISMISSAL DISTANCE LEARNING DOMESTIC RESPONSIBI... EARLY RETIREMENT ECONOMIC ACTIVITY EDUCATIONAL BACKGROUND EDUCATIONAL CERTIFI... EDUCATIONAL COURSES EDUCATIONAL FEES EDUCATIONAL INSTITU... EDUCATIONAL LEVELS EDUCATIONAL OPPORTU... EMPLOYEES EMPLOYER SPONSORED ... EMPLOYMENT EMPLOYMENT HISTORY EMPLOYMENT PROGRAMMES EMPLOYMENT SERVICES ENDOCRINE DISORDERS EPILEPSY ETHNIC GROUPS FAMILIES FAMILY BENEFITS FAMILY MEMBERS FIELDS OF STUDY FULL TIME EMPLOYMENT FURNISHED ACCOMMODA... FURTHER EDUCATION GENERAL CERTIFICATE... GENERAL NATIONAL VO... GENERAL SCOTTISH VO... HEADS OF HOUSEHOLD HEALTH HEARING IMPAIRMENTS HIGHER EDUCATION HIGHER EDUCATION IN... HIGHER NATIONAL CER... HOLIDAY LEAVE HOME BASED WORK HOME OWNERSHIP HOURS OF WORK HOUSEHOLDS HOUSING BENEFITS HOUSING TENURE IMMIGRATION IN SERVICE TRAINING INCOME INDUSTRIES INVOLUNTARY SHORT T... JOB CHANGING JOB DESCRIPTION JOB HUNTING JOB SEEKER S ALLOWANCE LABOUR AND EMPLOYMENT LABOUR FORCE LANDLORDS LEARNING DISABILITIES LEAVE LONGTERM UNEMPLOYMENT Labour and employment MANAGERS MARITAL STATUS MATERNITY LEAVE MATERNITY PAY MENTAL DISORDERS MUSCULOSKELETAL DIS... NATIONAL IDENTITY NATIONAL VOCATIONAL... NATIONALITY NERVOUS SYSTEM DISE... OCCUPATIONAL QUALIF... OCCUPATIONAL SAFETY OCCUPATIONAL STATUS OCCUPATIONAL TRAINING OCCUPATIONS ORDINARY LEVEL EXAM... ORDINARY NATIONAL C... OVERTIME PART TIME COURSES PART TIME EMPLOYMENT PATERNITY LEAVE PENSIONS PHOBIAS PLACE OF BIRTH PLACE OF RESIDENCE PRIVATE PENSIONS PRIVATE SECTOR PUBLIC HEALTH RISKS PUBLIC SECTOR QUALIFICATIONS REBATES RECRUITMENT REDUNDANCY REDUNDANCY PAY RELIGIOUS AFFILIATION RENTED ACCOMMODATION RESIDENTIAL MOBILITY RESPIRATORY TRACT D... RETIREMENT ROYAL SOCIETY OF AR... SANDWICH COURSES SCOTTISH CERTIFICAT... SCOTTISH VOCATIONAL... SCOTTISH VOCATIONAL... SEASONAL EMPLOYMENT SELF EMPLOYED SEX SHARED HOME OWNERSHIP SHIFT WORK SICK LEAVE SICK PAY SICK PERSONS SICKNESS AND DISABI... SKIN DISEASES SMALL BUSINESSES SOCIAL HOUSING SOCIAL SECURITY BEN... SOCIO ECONOMIC STATUS SPEECH IMPAIRMENTS SPOUSES STATE RETIREMENT PE... STUDENTS SUBSIDIARY EMPLOYMENT SUPERVISORS SUPERVISORY STATUS TAX RELIEF TEACHER QUALIFICATIONS TEMPORARY EMPLOYMENT TERMINATION OF SERVICE TIED HOUSING TRAINING TRAINING CENTRES TRAINING COURSES UNEMPLOYED UNEMPLOYMENT UNEMPLOYMENT BENEFITS UNFURNISHED ACCOMMO... UNWAGED WORKERS VISION IMPAIRMENTS VOCATIONAL EDUCATION VOCATIONAL EDUCATIO... WAGES WELSH LANGUAGE WORKING CONDITIONS WORKPLACE

Statistical concepts and definitions: Unemployed person Person aged 18 and more and has not reached the retirement age, is not employed and not performing any other kind of paid work, capable of work and ready to take full-time employment (or in case he/she is a disabled person— capable and ready to take work comprising no less than a half of working time), not attending school with the exception of schools for adults (or taking extra curriculum exam covering this school curriculum, as well as those studying at the stage II sectoral vocational school and post-secondary school, providing full-time, evening or weekend education) or tertiary schools in part—time programme, registered in the local labour office appropriate for their (permanent or temporary) place of residence, and seeking employment or any other income—generating work, with additional provisions concerning the sources of income, included in the law. Available time series: monthly data Disaggregation: Poland Additional methodological notes Seasonal adjustment by direct method, i.e. separately for individual variables, using the TRAMO/SEATS procedure as part of the JDEMETRA+ 2.2.2. package. Seasonal adjustment consists in elimination of the seasonal effect (annual, regular deviations trend, observed in annual cycle), and in case of series which may be influenced by calendar and working days effect (effects resulting from calendar layout and variability of the number of working days not having a seasonal effect) — elimination also those effects.

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.

This study was deposited in 2008, as a result of the move from seasonal to calendar quarters for the QLFS, and the reweighting process to 2007-2008 population figures. It combines data from previously-available QLFS seasonal two-quarter longitudinal datasets. The depositor has advised that small revisions to the data may have been made during this process, but they should not be significant.

This data set shows the number of persons outside labour force for all states in Malaysia. The statistics is derived from Labour Force Survey (LFS) which is conducted every month using household approach and refers to those between the working age of 15-64 years old.

All persons not classified as employed or unemployed are classified as outside labour force. This category includes housewives, students (including those going for further studies), retired, disabled persons and those not interested in looking for a job.

W.P. Labuan is gazzeted as a Federal Territory in 1984 while W.P. Putrajaya is gazzeted as a Federal Territory in 2001. The statistics for W.P. Putrajaya for 2001-2010 is treated as part of Selangor. Statistics for W.P. Putrajaya is available separately since 2011 onwards.

LFS was not conducted during the years 1991 and 1994.

The dataset consists of self-administered written texts by recruiters on how unemployed jobseeker status or periods of unemployment impact recruitment decisions. The data were collected for a Master's thesis. The writing invitation was aimed at individuals who had experience of recruiting employees as part of their jobs. In the writing guidelines, participants were instructed to write from the recruiter's point of view about the factors that need to be taken into consideration when recruiting unemployed or partially disabled individuals. The guidelines included questions on, for example, whether participants paid attention to periods of unemployment on applicants' CVs, the experiences participants had of assisted employment services, and what could increase interest in recruiting unemployed individuals. Background information included the participant's gender, age group, and the industry of employment for which the participant recruited employees. The data were organised into an easy to use HTML version at FSD. The dataset is available only in Finnish.

This data set shows the number of persons outside labour force by urban and rural strata for all states in Malaysia for year 1982 until 2020. The statistics is derived from Labour Force Survey (LFS) which is conducted every month using household approach and refers to those between the working age of 15-64 years old. All persons not classified as employed or unemployed are classified as outside labour force. This category includes housewives, students (including those going for further studies), retired, disabled persons and those not interested in looking for a job. W.P. Labuan is gazzeted as a Federal Territory in 1984 while W.P. Putrajaya is gazzeted as a Federal Territory in 2001. The statistics for W.P. Putrajaya for 2001-2010 is treated as part of Selangor. Statistics for W.P. Putrajaya is available separately since 2011 onwards. LFS was not conducted during the years 1991 and 1994. More info: https://www.dosm.gov.my No. of Views : 221

The measure shows the percentage of adults receiving secondary mental health services in paid employment at the time of their most recent assessment, formal review or other multidisciplinary care planning meeting. Adults 'in contact with secondary mental health services' is defined as those aged 18 to 69 who are receiving secondary mental health services and who are on the Care Programme Approach (CPA). The measure is focused on 'paid' employment, to be clear that voluntary work is to be excluded for the purposes of this measure. Employment status is recorded using the following categories: Employed Unemployed and Seeking Work Students who are undertaking full (at least 16 hours per week) or part-time (less than16 hours per week) education or training and who are not working or actively seeking work Long-term sick or disabled, those who are receiving Incapacity Benefit, Income Support or both; or Employment and Support Allowance Homemaker looking after the family or home and who are not working or actively seeking work Not receiving benefits and who are not working or actively seeking work Unpaid voluntary work who are not working or actively seeking work Retired ZZ Not Stated (person asked but declined to provide a response) The calculation of the measure was changed in 2013-14 and in 2017-18. Previously, outcome scores were calculated from annual totals from the MHMDS, whereas now the outcome is calculated each month and the ASCOF measure for the year is derived as an average of these monthly scores. In 2017-18 The Mental Health Services Dataset (MHSDS) methodology has also been updated so that only whole numbers are published. Only covers people receiving partly or wholly supported care from their Local Authority and not wholly private, self-funded care. Data Source: Mental Health Minimum Data Set' Data is Powered by LG Inform Plus and automatically checked for new data on the 3rd of each month.