Approximately 1.75 million people claimed unemployment benefits in the United Kingdom in the fourth quarter of 2024, one of the lowest claimant counts since the start of the COVID-19 pandemic. The pandemic and subsequent lockdowns played havoc with the UK economy, leading to the sharp rise in jobless claims seen here in the second quarter of 2020.
The expenditure on unemployment benefits in the United Kingdom was one billion British pounds in 2023/24, a decrease when compared with the previous year.
These Alternative Claimant Count statistics measure the number of people claiming unemployment related benefits by modelling what the count would have been if Universal Credit had been in place since 2013.
Lead statistician: Luke Stockham
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 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 2022The 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 2022APS Well-Being DatasetsFrom 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 variablesOver 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. End User Licence and Secure Access APS dataUsers 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. Latest edition informationFor the eighth edition (July 2023), the variable FDPCH16 was added to the study. 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 2020 ADULT EDUCATION AGE ANXIETY APPLICATION FOR EMP... APPOINTMENT TO JOB ATTITUDES BONUS PAYMENTS BUSINESSES CARE OF DEPENDANTS CHRONIC ILLNESS COHABITATION COMMUTING CONDITIONS OF EMPLO... DEBILITATIVE ILLNESS DEGREES DISABILITIES Demography population ECONOMIC ACTIVITY EDUCATIONAL BACKGROUND EDUCATIONAL COURSES EMPLOYEES EMPLOYER SPONSORED ... EMPLOYMENT EMPLOYMENT HISTORY EMPLOYMENT PROGRAMMES ETHNIC GROUPS FAMILIES FAMILY BENEFITS FIELDS OF STUDY FULL TIME EMPLOYMENT FURNISHED ACCOMMODA... FURTHER EDUCATION GENDER HAPPINESS HEADS OF HOUSEHOLD HEALTH HIGHER EDUCATION HOME OWNERSHIP HOURS OF WORK HOUSEHOLDS HOUSING HOUSING BENEFITS HOUSING TENURE INCOME INDUSTRIES JOB CHANGING JOB HUNTING JOB SEEKER S ALLOWANCE LANDLORDS Labour and employment MANAGERS MARITAL STATUS NATIONAL IDENTITY NATIONALITY OCCUPATIONS OVERTIME PART TIME COURSES PART TIME EMPLOYMENT PLACE OF BIRTH PLACE OF RESIDENCE PRIVATE SECTOR PUBLIC SECTOR RECRUITMENT REDUNDANCY REDUNDANCY PAY RELIGIOUS AFFILIATION RENTED ACCOMMODATION RESIDENTIAL MOBILITY SELF EMPLOYED SICK LEAVE SICKNESS AND DISABI... SMOKING SOCIAL HOUSING SOCIAL SECURITY BEN... SOCIO ECONOMIC STATUS STATE RETIREMENT PE... STUDENTS SUBSIDIARY EMPLOYMENT SUPERVISORS SUPERVISORY STATUS TAX RELIEF TEMPORARY EMPLOYMENT TERMINATION OF SERVICE TIED HOUSING TOBACCO TRAINING TRAINING COURSES TRAVELLING TIME UNEMPLOYED UNEMPLOYMENT UNEMPLOYMENT BENEFITS UNFURNISHED ACCOMMO... UNWAGED WORKERS WAGES WELL BEING HEALTH WELSH LANGUAGE WORKING CONDITIONS WORKPLACE vital statistics an...
Some 33 percent of respondents in the United States were satisfied with their fellow citizens’ response to the coronavirus pandemic on May 31, 2020. Are people satisfied with the media’s response to the coronavirus? As of March to May 2020, all over the world, people were watching news coverage more than usual due to the coronavirus outbreak. A lot of respondents seem to want to keep in-line with the latest trends of a pandemic that has effectively crippled many of the world’s biggest economies. Consumers of several age groups between 16 and 64 are watching news with a greater frequency which also means a greater scrutiny for the media outlets. In the U.S., where millions of people have filed for unemployment benefits since the corona outbreak, more than one third of respondents were satisfied with media’s response to COVID-19 as of May 3rd, 2020. However, a considerable share of respondents in the U.S. believe that media has overstated news related to coronavirus outbreak in the U.S. That goes for audiences from both democrat and republican-supporting groups as they believe that the media outlets have either slightly or greatly exaggerated news about COVID-19.
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Denmark is one of the few countries in the world that adjusted well to the challenge of providing an established social security system and a flexible labor market for its citizens. It was one of the first countries to adopt a multi-pillar pension system, comprising a flat-rate residence-based national pension and private occupational pensions based on collective agreements. The first pillar is the state and compulsory pillar, providing universal cover. It consists of two tiers – the first is a residence-based Folkepension (national or social pension), while the second consists of fully funded supplementary schemes. The second pillar is a quasi-mandatory scheme, which includes privately managed fully funded occupational schemes, and the third pillar consists of voluntary, supplementary pension schemes, which are managed by banks or insurance companies. Most branches of the Danish social security system are compulsory, except unemployment insurance, and are financed by taxation. Read More
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Young people from the Chinese (4.5%) and Indian (7.3%) ethnic groups were less likely than the UK average (11.5%) to be not in employment, education or training.
As of the fourth quarter of 2024, the unemployment rate for people of white ethnicity in the United Kingdom was 3.6 percent, the lowest of the provided ethnic groups in this quarter. By contrast, the unemployment rate for people in the Pakistani ethnic group was 10.7 percent.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
In 2022, the highest and lowest rates of economic inactivity were in the combined Pakistani and Bangladeshi (33%) and white 'other’ (15%) ethnic groups.
https://data.gov.uk/dataset/d57a7bef-48f4-4ca8-ad57-571901797672/ward-profile-jan-2020-frognal-and-fitzjohns-ward#licence-infohttps://data.gov.uk/dataset/d57a7bef-48f4-4ca8-ad57-571901797672/ward-profile-jan-2020-frognal-and-fitzjohns-ward#licence-info
This updated profile incorporate the most recent ward data available from population forecasts, from surveys and from administrative data to give the best current view of the local population. They include current population and forecast changes; household income levels and deprivation; local workplace employment levels; levels of welfare claimants and unemployment benefit recipients; life expectancy and crime.
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 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 2022The 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 2022APS Well-Being DatasetsFrom 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 variablesOver 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. End User Licence and Secure Access APS dataUsers 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 third edition (July 2022), the qualification variable QULNOW has been added to the data file. 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 2018 2020 ADULT EDUCATION AGE APPLICATION FOR EMP... APPOINTMENT TO JOB ATTITUDES BONUS PAYMENTS BUSINESSES CARE OF DEPENDANTS CHRONIC ILLNESS COHABITATION COMMUTING CONDITIONS OF EMPLO... DEBILITATIVE ILLNESS DEGREES Demography population ECONOMIC ACTIVITY EDUCATIONAL BACKGROUND EDUCATIONAL COURSES EMPLOYEES EMPLOYER SPONSORED ... EMPLOYMENT EMPLOYMENT HISTORY EMPLOYMENT PROGRAMMES ETHNIC GROUPS FAMILIES FAMILY BENEFITS FIELDS OF STUDY FULL TIME EMPLOYMENT FURNISHED ACCOMMODA... FURTHER EDUCATION GENDER HEADS OF HOUSEHOLD HEALTH HIGHER EDUCATION HOME OWNERSHIP HOURS OF WORK HOUSEHOLDS HOUSING HOUSING BENEFITS HOUSING TENURE INCOME INDUSTRIES JOB CHANGING JOB HUNTING JOB SEEKER S ALLOWANCE LANDLORDS Labour and employment MANAGERS MARITAL STATUS NATIONAL IDENTITY NATIONALITY OCCUPATIONS OVERTIME PART TIME COURSES PART TIME EMPLOYMENT PLACE OF BIRTH PLACE OF RESIDENCE PRIVATE SECTOR PUBLIC SECTOR QUALIFICATIONS RECRUITMENT REDUNDANCY REDUNDANCY PAY RELIGIOUS AFFILIATION RENTED ACCOMMODATION RESIDENTIAL MOBILITY SELF EMPLOYED SICK LEAVE SICKNESS AND DISABI... SOCIAL HOUSING SOCIAL SECURITY BEN... SOCIO ECONOMIC STATUS STATE RETIREMENT PE... STUDENTS SUBSIDIARY EMPLOYMENT SUPERVISORS SUPERVISORY STATUS TAX RELIEF TEMPORARY EMPLOYMENT TERMINATION OF SERVICE TIED HOUSING TRAINING TRAINING COURSES TRAVELLING TIME UNEMPLOYED UNEMPLOYMENT UNEMPLOYMENT BENEFITS UNFURNISHED ACCOMMO... UNWAGED WORKERS WAGES WELSH LANGUAGE WORKING CONDITIONS WORKPLACE vital statistics an...
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Uganda’s social security system only covers a small portion of the population. Most of the workers and their families are not covered under the country’s social security system; however, the government plans to introduce new social security benefits. The government is planning to include maternity and unemployment benefits; health insurance; funeral grants; and school fees for the children of workers. The two important formal social security schemes in Uganda are the National Social Security Fund (NSSF) and the Public Service Pension Scheme. Uganda has three pillar pension system. First pillar is made for means-tested individuals and for public sector workers, second pillar comprised of mandatory DC plans to the individuals while the third pillar involves voluntary DC pension schemes. Read More
In 2023/24 the UK government is expected to spend approximately 258.4 billion British pounds on benefits, compared with the previous year when benefit expenditure was 242.5 billion pounds.
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The social security system plays an important role in providing employee benefits to the people of Croatia. The benefits are provided in terms of retirement, death, disability, work injuries and occupational diseases, maternity and paternity, sickness, and unemployment. The Croatian social security system typically covers employees, self-employed persons, unemployed persons, and dependent family members of deceased employees. Contributions to the Croatian social security system are made by employees, employers, self-employed individuals, and public authorities, and contributions made to each benefit category vary. Read More
Abstract copyright UK Data Service and data collection copyright owner.
The Opinions and Lifestyle Survey (formerly known as the ONS Opinions Survey or Omnibus) is an omnibus survey that began in 1990, collecting data on a range of subjects commissioned by both the ONS internally and external clients (limited to other government departments, charities, non-profit organisations and academia).
Data are collected from one individual aged 16 or over, selected from each sampled private household. Personal data include data on the individual, their family, address, household, income and education, plus responses and opinions on a variety of subjects within commissioned modules.
The questionnaire collects timely data for research and policy analysis evaluation on the social impacts of recent topics of national importance, such as the coronavirus (COVID-19) pandemic and the cost of living, on individuals and households in Great Britain.
From April 2018 to November 2019, the design of the OPN changed from face-to-face to a mixed-mode design (online first with telephone interviewing where necessary). Mixed-mode collection allows respondents to complete the survey more flexibly and provides a more cost-effective service for customers.
In March 2020, the OPN was adapted to become a weekly survey used to collect data on the social impacts of the coronavirus (COVID-19) pandemic on the lives of people of Great Britain. These data are held in the Secure Access study, SN 8635, ONS Opinions and Lifestyle Survey, Covid-19 Module, 2020-2022: Secure Access.
From August 2021, as coronavirus (COVID-19) restrictions were lifting across Great Britain, the OPN moved to fortnightly data collection, sampling around 5,000 households in each survey wave to ensure the survey remains sustainable.
The OPN has since expanded to include questions on other topics of national importance, such as health and the cost of living. For more information about the survey and its methodology, see the ONS OPN Quality and Methodology Information webpage.
Secure Access Opinions and Lifestyle Survey data
Other Secure Access OPN data cover modules run at various points from 1997-2019, on Census religion (SN 8078), cervical cancer screening (SN 8080), contact after separation (SN 8089), contraception (SN 8095), disability (SNs 8680 and 8096), general lifestyle (SN 8092), illness and activity (SN 8094), and non-resident parental contact (SN 8093). See Opinions and Lifestyle Survey: Secure Access for details.
Abstract copyright UK Data Service and data collection copyright owner.The Opinions and Lifestyle Survey (formerly known as the ONS Opinions Survey or Omnibus) is an omnibus survey that began in 1990, collecting data on a range of subjects commissioned by both the ONS internally and external clients (limited to other government departments, charities, non-profit organisations and academia).Data are collected from one individual aged 16 or over, selected from each sampled private household. Personal data include data on the individual, their family, address, household, income and education, plus responses and opinions on a variety of subjects within commissioned modules. The questionnaire collects timely data for research and policy analysis evaluation on the social impacts of recent topics of national importance, such as the coronavirus (COVID-19) pandemic and the cost of living, on individuals and households in Great Britain. From April 2018 to November 2019, the design of the OPN changed from face-to-face to a mixed-mode design (online first with telephone interviewing where necessary). Mixed-mode collection allows respondents to complete the survey more flexibly and provides a more cost-effective service for customers. In March 2020, the OPN was adapted to become a weekly survey used to collect data on the social impacts of the coronavirus (COVID-19) pandemic on the lives of people of Great Britain. These data are held in the Secure Access study, SN 8635, ONS Opinions and Lifestyle Survey, Covid-19 Module, 2020-2022: Secure Access. From August 2021, as coronavirus (COVID-19) restrictions were lifting across Great Britain, the OPN moved to fortnightly data collection, sampling around 5,000 households in each survey wave to ensure the survey remains sustainable. The OPN has since expanded to include questions on other topics of national importance, such as health and the cost of living. For more information about the survey and its methodology, see the ONS OPN Quality and Methodology Information webpage.Secure Access Opinions and Lifestyle Survey dataOther Secure Access OPN data cover modules run at various points from 1997-2019, on Census religion (SN 8078), cervical cancer screening (SN 8080), contact after separation (SN 8089), contraception (SN 8095), disability (SNs 8680 and 8096), general lifestyle (SN 8092), illness and activity (SN 8094), and non-resident parental contact (SN 8093). See Opinions and Lifestyle Survey: Secure Access for details. Main Topics:Each month's questionnaire consists of two elements: core questions, covering demographic information, are asked each month together with non-core questions that vary from month to month. The non-core questions for this month were: Local Authority Tenants (Module 186): this module was asked on behalf of the Department of Environment, Transport and the Regions (DETR), and only applied to those respondents renting from local authorities in England and Wales. It combined a repeat of the 'Tenant's Charter' module run in 1991/2 and 1992/3 with questions based on ones from the 1994 module 'Information for LA Tenants' and the Survey of English Housing. Withheld Deposits (Module 193): this module was asked on behalf of the DETR and would have been included in the Survey of English Housing, but no space was available. It was asked in England only, to help the DETR compile a sample of respondents who had at some time in the past three years had a deposit that they had paid prior to moving into privately rented accommodation withheld when they left. Second Homes (Module 4): this module was asked on behalf of the DETR. It has appeared in previous Omnibus surveys in a slightly different form. The module queried respondents on ownership of a second home by any member of the household and reasons for having the second home. Attitudes to Disability Benefits (Module 191): this module was asked on behalf of the Department of Social Security. The questions focus on three different sorts of benefit claimants, the disabled, who can claim Income Replacement Benefit, people injured at work and carers. Alcohol brought into the United Kingdom (UK) from European Union (EU) countries (Module 164): this module was asked on behalf of Customs and Excise, and aimed to assess the extent of cross-border shopping since the Single European Market was introduced. It is only concerned with alcohol bought in other EU countries in outlets other than duty-free shops. Attitudes to in-work subsidies and unemployment benefit (Module 194): this module was asked on behalf of the DSS and focuses on attitudes to top-up benefits for low-paid workers with jobs, attitudes to unemployment benefit, and attitudes to unemployed couples with and without children. Lone Mothers (Module 184): this module was asked on behalf of the DSS. The questions were taken from a British attitudes survey and compare attitudes towards mothers living in couples with children of varying ages with attitudes towards lone mothers. Contraception (Module 170): the Special Licence version of this module is held under SN 6476. PEPs and TESSAs (Module 185): this module was asked on behalf of the Inland Revenue, to gain more information about the distribution of PEPs and TESSAs and in particular the extent to which the two groups overlap. Vulnerable consumers of financial products (Module 195): this module was asked on behalf of the Office for Fair Trading, who were conducting an enquiry into vulnerable consumers of financial services such as banking, savings and investments, credit and insurance. Multi-stage stratified random sample Face-to-face interview 1998 AGE ALCOHOL USE ALCOHOLIC DRINKS ATTITUDES BANK ACCOUNTS BEREAVEMENT CARE OF DEPENDANTS CHILD BENEFITS CHILD CARE CHILD DAY CARE CHRONIC ILLNESS CLEANING COHABITATION COMPREHENSION COSTS CREDIT CREDIT CARD USE Consumption and con... DAMAGE DEBILITATIVE ILLNESS DISABLED PERSONS DISEASES ECONOMIC ACTIVITY ECONOMIC VALUE EDUCATIONAL BACKGROUND EDUCATIONAL COURSES EMPLOYEES EMPLOYMENT EMPLOYMENT HISTORY EMPLOYMENT PROGRAMMES ENDOWMENT ASSURANCE ETHNIC GROUPS EUROPEAN UNION EXPORTS AND IMPORTS FAMILY MEMBERS FINANCIAL SERVICES FINANCIAL SUPPORT FULL TIME EMPLOYMENT FURNISHED ACCOMMODA... Family life and mar... GENDER GOVERNMENT DEPARTMENTS GRANTS HEADS OF HOUSEHOLD HEALTH CONSULTATIONS HOLIDAYS HOME CONTENTS INSUR... HOME OWNERSHIP HOME SELLING HOUSEHOLD BUDGETS HOUSEHOLDS HOUSING FINANCE HOUSING POLICY HOUSING TENURE HUMAN SETTLEMENT Health behaviour Housing INCOME INCOME TAX INDUSTRIES INFORMATION INFORMATION MATERIALS INFORMATION SOURCES INHERITANCE INSURANCE INTEREST FINANCE INVESTMENT Income JOB HUNTING JUDGMENTS LAW LANDLORDS LARGE SHOPS LEGAL PROCEDURE LOANS LOCAL GOVERNMENT LOCAL GOVERNMENT SE... MANAGERS MARITAL STATUS MARRIAGE DISSOLUTION MASS MEDIA MEDICAL CENTRES MEDICAL PRESCRIPTIONS MONEY MORTGAGES MOTHERS MOTOR VEHICLES ONE PARENT FAMILIES PARENTS PART TIME EMPLOYMENT PAYMENTS PENSIONS PERFORMANCE PLACE OF RESIDENCE PRESCHOOL CHILDREN PRIVATE PERSONAL PE... PUBLIC HOUSES PUBLIC INFORMATION PUBLIC OPINION PUBLIC SERVICES PURCHASING QUALIFICATIONS REDUNDANCY RENTED ACCOMMODATION RENTS REPORTS RESIDENTIAL MOBILITY RESTAURANTS RETAIL TRADE RETIREMENT RIGHTS AND PRIVILEGES SAVINGS SCHOOLCHILDREN SECOND HOMES SELF EMPLOYED SHOPS SMALL CLAIMS PROCEDURE SOCIAL HOUSING SOCIAL SECURITY BEN... SPOUSES STANDARDS STATE AID SUPERVISORS Social behaviour an... Specific social ser... TERMINATION OF SERVICE TIED HOUSING TRAINING TRANSPORT TRAVEL UNEMPLOYMENT UNEMPLOYMENT BENEFITS UNFURNISHED ACCOMMO... UNMARRIED MOTHERS UNWAGED WORKERS VOCATIONAL EDUCATIO... WAGES WORKING MOTHERS property and invest...
Abstract copyright UK Data Service and data collection copyright owner.The General Household Survey (GHS), ran from 1971-2011 (the UKDS holds data from 1972-2011). It was a continuous annual national survey of people living in private households, conducted by the Office for National Statistics (ONS). The main aim of the survey was to collect data on a range of core topics, covering household, family and individual information. This information was used by government departments and other organisations for planning, policy and monitoring purposes, and to present a picture of households, families and people in Great Britain. In 2008, the GHS became a module of the Integrated Household Survey (IHS). In recognition, the survey was renamed the General Lifestyle Survey (GLF). The GLF closed in January 2012. The 2011 GLF is therefore the last in the series. A limited number of questions previously run on the GLF were subsequently included in the Opinions and Lifestyle Survey (OPN). Secure Access GHS/GLF The UKDS holds standard access End User Licence (EUL) data for 1972-2006. A Secure Access version is available, covering the years 2000-2011 - see SN 6716 General Lifestyle Survey, 2000-2011: Secure Access. History The GHS was conducted annually until 2011, except for breaks in 1997-1998 when the survey was reviewed, and 1999-2000 when the survey was redeveloped. Further information may be found in the ONS document An overview of 40 years of data (General Lifestyle Survey Overview - a report on the 2011 General Lifestyle Survey) (PDF). Details of changes each year may be found in the individual study documentation. EU-SILC In 2005, the European Union (EU) made a legal obligation (EU-SILC) for member states to collect additional statistics on income and living conditions. In addition, the EU-SILC data cover poverty and social exclusion. These statistics are used to help plan and monitor European social policy by comparing poverty indicators and changes over time across the EU. The EU-SILC requirement was integrated into the GHS/GLF in 2005. After the closure of the GLF, EU-SILC was collected via the Family Resources Survey (FRS) until the UK left the EU in 2020.Reformatted GHS data 1973-1982 - Surrey SPSS Files SPSS files were created by the University of Surrey for all GHS years from 1973 to 1982 inclusive. The early files were restructured and the case changed from the household to the individual with all of the household information duplicated for each individual. The Surrey SPSS files contain all the original variables as well as some extra derived variables (a few variables were omitted from the data files for 1973-76). In 1973 only, the section on leisure was not included in the Surrey SPSS files. This has subsequently been made available, however, and is now held in a separate study, General Household Survey, 1973: Leisure Questions (SN 3982). Records for the original GHS 1973-1982 ASCII files have been removed from the UK Data Archive catalogue, but the data are still preserved and available upon request. Main Topics:The main GHS consisted of a household questionnaire, completed by the Household Reference Person (HRP), and an individual questionnaire, completed by all adults aged 16 and over resident in the household. A number of different trailers each year covering extra topics were included in later (post-review) surveys in the series from 2000.The household questionnaire covered the following topics: household information, accommodation type, housing tenure/costs, and consumer durables including vehicle ownership.The individual questionnaire included data from the household dataset, and additional sections on migration/citizenship/national identity/ethnicity, employment, pensions, education, health, child care, smoking, drinking, family information, financial situation, and income. Multi-stage stratified random sample Face-to-face interview 1980 ABSENTEEISM ADOLESCENTS ADOPTED CHILDREN AGE ALCOHOL USE ALCOHOLIC DRINKS APARTMENTS APPLICATION FOR EMP... APPOINTMENT TO JOB APPRENTICESHIP ASSAULT ATTITUDES BANK ACCOUNTS BEDROOMS BONUS PAYMENTS BOOKS BUILDING MAINTENANCE BURGLARY CARE OF DEPENDANTS CARE OF THE ELDERLY CENTRAL HEATING CEREMONIES CHILD BENEFITS CHILDREN CHIROPODY COHABITATION COLOUR TELEVISION R... COMMERCIAL BUILDINGS CONDITIONS OF EMPLO... CONTACT LENSES COOKING COOKING FACILITIES DISEASES DIVORCE DOMESTIC APPLIANCES DOMESTIC RESPONSIBI... ECONOMIC VALUE EDUCATION EDUCATIONAL BACKGROUND EDUCATIONAL COURSES EDUCATIONAL GRANTS EDUCATIONAL INSTITU... ELDERLY ELEVATORS EMPLOYMENT EMPLOYMENT HISTORY EMPLOYMENT SERVICES ETHNIC GROUPS EXAMINATIONS EXPENDITURE Education FAMILIES FAMILY MEMBERS FAMILY SIZE FATHER S OCCUPATION FATHER S PLACE OF B... FERTILITY FINANCIAL RESOURCES FINANCIAL SUPPORT FOSSIL FUELS FOSTER CHILDREN FURNISHED ACCOMMODA... FURTHER EDUCATION FURTHER TRAINING GARDENING GENDER GENERAL PRACTITIONERS GRANTS General health and ... HEADS OF HOUSEHOLD HEALTH HEALTH CONSULTATIONS HEALTH SERVICES HEALTH VISITORS HEARING AIDS HEARING IMPAIRMENTS HEATING SYSTEMS HIGHER EDUCATION HOLIDAYS HOME BUYING HOME HELP HOME KNITTING HOME OWNERSHIP HOME SEWING HOME SHARING HOME VISITS HOSPITAL OUTPATIENT... HOSPITAL SERVICES HOURS OF WORK HOUSEHOLDS HOUSEWIVES HOUSEWORK HOUSING HOUSING AGE HOUSING FACILITIES HOUSING FINANCE HOUSING IMPROVEMENT HOUSING TENURE Health care service... Housing IMMIGRATION INCOME INCOME TAX INDUSTRIES INJURIES INSURANCE INTEREST FINANCE INVESTMENT INVESTMENT RETURN JOB CHANGING JOB HUNTING JOB SATISFACTION KITCHENS LANDLORDS LAVATORIES LEAVE LEISURE TIME ACTIVI... LICENCES LISTENING LOANS Labour and employment MARITAL HISTORY MARITAL STATUS MARRIAGE MARRIAGE DISSOLUTION MARRIED WOMEN WORKERS MEALS MEALS ON WHEELS MEDICAL TRAINING MOBILE HOMES MORTGAGES MOTHER S PLACE OF B... MOTOR PROCESSES MOTOR VEHICLES MUSIC NURSES OCCUPATIONAL PENSIONS OCCUPATIONAL QUALIF... OCCUPATIONAL STATUS OCCUPATIONS OLD PEOPLE S CLUBS OVERTIME PATIENTS PERSONAL HYGIENE PHYSICAL DISABILITIES PHYSICIANS PLACE OF BIRTH POLICE SERVICES PREGNANCY PRIVATE EDUCATION PRIVATE SCHOOLS PRIVATE SECTOR PROFESSIONAL CONSUL... PROFITS PUBLIC TRANSPORT QUALIFICATIONS RADIO LISTENING READING ACTIVITY RECRUITMENT REDUNDANCY RENTED ACCOMMODATION RENTS RESIDENTIAL MOBILITY RETIREMENT ROOM SHARING ROOMS SAVINGS SCHOOL LEAVING AGE SECOND HOMES SECONDARY EDUCATION SECONDARY SCHOOLS SELF EMPLOYED SHOPPING SICK LEAVE SICK PAY SMOKING SOCIAL ACTIVITIES L... SOCIAL CLASS SOCIAL HOUSING SOCIAL SECURITY BEN... SOCIAL SECURITY CON... SOCIAL SERVICES SOCIAL SUPPORT SOCIO ECONOMIC STATUS SPECIAL EDUCATION SPECTACLES SPORT SPOUSES STAIRS STATE RETIREMENT PE... STRIKES STUDENTS SUBSIDIARY EMPLOYMENT Social conditions a... Specific social ser... TELEPHONES TELEVISION RECEIVERS TELEVISION VIEWING TERMINATION OF SERVICE TIED HOUSING TOBACCO UNEMPLOYED UNEMPLOYMENT UNEMPLOYMENT BENEFITS UNFURNISHED ACCOMMO... VISION IMPAIRMENTS VISITS PERSONAL WAGES WALKING WASHING FACILITIES WIDOWED WOMEN
In the fourth quarter of 2024, approximately 81.9 percent of people born in the European Union but living in the UK were employed, compared with 74.7 percent for UK nationals and 74.4 percent for people outside the EU and UK. Since 2006, the employment rate for people born in the EU has consistently been higher than UK nationals and non-EU nationals.
In January 2021, approximately 9.58 million jobs in Europe's three largest economies were being supported by temporary employment schemes, with the UK's job retention scheme supporting approximately 4.88 million jobs, France's Chômage partiel scheme 2.1 million, while 2.6 million workers were on Germany's Kurzarbeit system. Although some of these partial employment mechanisms were already in place before the COVID-19 pandemic, their usage accelerated considerably after the first Coronavirus lockdowns in Spring 2020. How much will this cost European governments? Early on in the pandemic, European governments moved swiftly to limit the damage that the Coronavirus pandemic would cause to the labor market. The spectre of mass unemployment, which would put a huge strain on European benefit systems anyway, was enough to encourage significant government spending and intervention. To this end, the European Union made 100 billion Euros of loans available through it's unemployment support fund (SURE). As of March 2021, Italy had received 20.95 billion Euros in loans from the SURE mechanism, and is set to be loaned 27.4 billion Euros overall. Spain and Poland will receive the second and third highest amount from the plan, at 21.3 billion, and 15.06 billion Euros respectively. What about the UK? The United Kingdom is not involved in the European Union's SURE scheme, but has also paid substantial amounts of money to keep unemployment at bay. As of January 31, 2021, there had been more than 11.2 million jobs furloughed on the UK's job retention scheme. By this date, the expenditure of this measure had reached 53.8 billion British pounds, with this figure expected to increase further, following the extension of the scheme to September 2021.
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Approximately 1.75 million people claimed unemployment benefits in the United Kingdom in the fourth quarter of 2024, one of the lowest claimant counts since the start of the COVID-19 pandemic. The pandemic and subsequent lockdowns played havoc with the UK economy, leading to the sharp rise in jobless claims seen here in the second quarter of 2020.