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Title:	Quarterly Labour Force Survey Household Dataset, October - December, 2014
Keywords:	ACADEMIC ACHIEVEMENT ADVANCED LEVEL EXAMINATIONS ADVANCED SUPPLEMENTARY LEVEL EXAMINATIONS AGE ALLERGIES APPLICATION FOR EMPLOYMENT APPRENTICESHIP ATTITUDES BUSINESS AND TECHNOLOGY EDUCATION COUNCIL AWARDS BUSINESSES CARDIOVASCULAR DISEASES CARE OF DEPENDANTS CERTIFICATE OF SECONDARY EDUCATION CERTIFICATE OF SIXTH YEAR STUDIES CHILD BENEFITS CHILDREN CHRONIC ILLNESS CITY AND GUILDS OF LONDON INSTITUTE AWARDS COHABITATION COMMUTING CONDITIONS OF EMPLOYMENT DEBILITATIVE ILLNESS DEGREES DEPRESSION DIABETES DIGESTIVE SYSTEM DISORDERS DISABILITIES DISABLED PERSONS DISMISSAL DOMESTIC RESPONSIBILITIES ECONOMIC ACTIVITY EDUCATIONAL BACKGROUND EDUCATIONAL CERTIFICATES EDUCATIONAL COURSES EDUCATIONAL INSTITUTIONS EDUCATIONAL OPPORTUNITIES EMPLOYEES EMPLOYER-SPONSORED TRAINING EMPLOYMENT EMPLOYMENT HISTORY EMPLOYMENT PROGRAMMES EMPLOYMENT SERVICES ENDOCRINE DISORDERS EPILEPSY ETHNIC GROUPS FAMILIES FAMILY MEMBERS FIELDS OF STUDY FULL-TIME EMPLOYMENT FURNISHED ACCOMMODATION GENDER GENERAL CERTIFICATE OF SECONDARY EDUCATION GENERAL NATIONAL VOCATIONAL QUALIFICATION GENERAL SCOTTISH VOCATIONAL QUALIFICATION HEADS OF HOUSEHOLD HEALTH HEARING IMPAIRMENTS HIGHER EDUCATION HIGHER NATIONAL CERTIFICATE/DIPLOMA HOME OWNERSHIP HOUSEHOLDS HOUSING TENURE IMMIGRATION IN-SERVICE TRAINING INDUSTRIES JOB CHANGING JOB HUNTING JOB SEEKER'S ALLOWANCE LABOUR FORCE LANDLORDS LEARNING DISABILITIES LEAVE MANAGERS MARITAL STATUS MATERNITY LEAVE MENTAL DISORDERS MORTGAGES MOTOR VEHICLES MUSCULOSKELETAL DISEASES NATIONAL VOCATIONAL QUALIFICATION NATIONALITY NERVOUS SYSTEM DISEASES OCCUPATIONAL QUALIFICATIONS OCCUPATIONAL TRAINING OCCUPATIONS ORDINARY LEVEL EXAMINATIONS ORDINARY NATIONAL CERTIFICATE/DIPLOMA OVERTIME PART-TIME COURSES PART-TIME EMPLOYMENT PATERNITY LEAVE PHOBIAS PLACE OF BIRTH PLACE OF RESIDENCE PRIVATE SECTOR PUBLIC SECTOR QUALIFICATIONS RECRUITMENT REDUNDANCY RELIGIOUS AFFILIATION RENTED ACCOMMODATION RESIDENTIAL MOBILITY RESPIRATORY TRACT DISEASES ROYAL SOCIETY OF ARTS AWARDS SANDWICH COURSES SCOTTISH CERTIFICATE OF EDUCATION SCOTTISH VOCATIONAL EDUCATION COUNCIL AWARDS SCOTTISH VOCATIONAL QUALIFICATION SEASONAL EMPLOYMENT SELF-EMPLOYED SHIFT WORK SICK LEAVE SICK PERSONS SKIN DISEASES SMALL BUSINESSES SOCIAL CLASS SOCIAL HOUSING SOCIO-ECONOMIC STATUS SPEECH IMPAIRMENTS SPOUSES STUDENTS SUBSIDIARY EMPLOYMENT SUPERVISORS SUPERVISORY STATUS TEACHER QUALIFICATIONS TEMPORARY EMPLOYMENT TERMINATION OF SERVICE TIED HOUSING TRAINING TRAINING CENTRES TRAINING COURSES UNEMPLOYED UNEMPLOYMENT UNFURNISHED ACCOMMODATION UNWAGED WORKERS VISION IMPAIRMENTS VOCATIONAL EDUCATION VOCATIONAL EDUCATION CERTIFICATES WORKING CONDITIONS HOURS OF WORK WORKPLACE EDUCATIONAL LEVELS FURTHER EDUCATION LONGTERM UNEMPLOYMENT FAMILY BENEFITS INTERNET USE HOUSING BENEFITS SICKNESS AND DISABILITY BENEFITS OCCUPATIONAL STATUS SOCIAL SECURITY BENEFITS EVENING SCHOOLS UNEMPLOYMENT BENEFITS REDUNDANCY PAY WELSH (LANGUAGE) LABOUR AND EMPLOYMENT HOLIDAY LEAVE TRAVELLING TIME SOCIAL SECURITY CONTRIBUTIONS MATERNITY PAY DISTANCE LEARNING STATE RETIREMENT PENSIONS HOME-BASED WORK EARLY RETIREMENT NATIONAL IDENTITY RECREATIONAL EDUCATION 2014
Description:	<P>Abstract copyright UK Data Service and data collection copyright owner.</P><p><strong>Background</strong><br>The&nbsp;<em>Labour Force Survey</em> (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 <em>Quarterly Labour Force Survey</em> (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.<br><br><strong>Household datasets</strong><br>Up to 2015, the LFS household datasets were produced twice a year (April-June and October-December) from the corresponding quarter's individual-level data. From January 2015 onwards, they are now produced each quarter alongside the main QLFS. The household datasets include all the usual variables found in the individual-level datasets, with the exception of those relating to income, and are intended to facilitate the analysis of the economic activity patterns of whole households. It is recommended that the existing individual-level LFS datasets continue to be used for any analysis at individual level, and that the LFS household datasets be used for analysis involving household or family-level data. From January 2011, a pseudonymised household identifier variable (HSERIALP) is also included in the main quarterly LFS dataset instead.<br><br><strong>Change to coding of missing values for household series</strong><br>From 1996-2013, all missing values in the household datasets were set to one '-10' category instead of the separate '-8' and '-9' categories. For that period, the ONS introduced a new imputation process for the LFS household datasets and it was necessary to code the missing values into one new combined category ('-10'), to avoid over-complication. This was also in line with the Annual Population Survey household series of the time. The change was applied to the back series during 2010 to ensure continuity for analytical purposes. From 2013 onwards, the -8 and -9 categories have been reinstated.<br><br><strong>LFS Documentation</strong><br>The documentation available from the Archive to accompany LFS datasets largely consists of the latest version of each volume alongside the appropriate questionnaire for the year concerned. However, LFS volumes are updated periodically by ONS, so users are advised to check the ONS <a title="Labour Force Survey User Guidance" href="https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/methodologies/labourforcesurveyuserguidance">LFS User Guidance</a> page before commencing analysis.<br><br><strong>Additional data derived from the QLFS</strong><br>The Archive also holds further QLFS series: End User Licence (EUL) quarterly datasets; Secure Access datasets (see below); two-quarter and five-quarter longitudinal datasets; quarterly, annual and ad hoc module datasets compiled for Eurostat; and some additional annual Northern Ireland datasets.<br><br><strong>End User Licence and Secure Access QLFS Household datasets</strong><br>Users should note that there are two discrete versions of the QLFS household datasets. One is available under the standard End User Licence (EUL) agreement, and the other is a Secure Access version. Secure Access household datasets for the QLFS are available from 2009 onwards, and include additional, detailed variables not included in the standard EUL versions. Extra variables that typically can be found in the Secure Access versions but not in the EUL versions relate to: geography; date of birth, including day; education and training; household and family characteristics; employment; unemployment and job hunting; accidents at work and work-related health problems; nationality, national identity and country of birth; occurrence of learning difficulty or disability; and benefits. For full details of variables included, see data dictionary documentation. The Secure Access version (see SN 7674) has 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.<br><br><strong>Changes to variables in QLFS Household EUL datasets</strong><br>In order to further protect respondent confidentiality, ONS have made some changes to variables available in the EUL datasets. From July-September 2015 onwards, 4-digit industry class is available for main job only, meaning that 3-digit industry group is the most detailed level available for second and last job.<br><br><strong>Review of imputation methods for LFS Household data - changes to missing values</strong><br>A review of the imputation methods used in LFS Household and Family analysis resulted in a change from the January-March 2015 quarter onwards. It was no longer considered appropriate to impute any personal characteristic variables (e.g. religion, ethnicity, country of birth, nationality, national identity, etc.) using the LFS donor imputation method. This method is primarily focused to ensure the 'economic status' of all individuals within a household is known, allowing analysis of the combined economic status of households. This means that from 2015 larger amounts of missing values ('-8'/-9') will be present in the data for these personal characteristic variables than before. Therefore if users need to carry out any time series analysis of households/families which also includes personal characteristic variables covering this time period, then it is advised to filter off 'ioutcome=3' cases from all periods to remove this inconsistent treatment of non-responders.</p><p> </p><p><strong>Occupation data for 2021 and 2022 data files<br></strong>The ONS have 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. For further information on this issue, please see:&nbsp;<a href="https://www.ons.gov.uk/news/statementsandletters/occupationaldatainonssurveys">https://www.ons.gov.uk/news/statementsandletters/occupationaldatainonssurveys</a>.</p> For the fourth edition (July 2019), 2018 weighting variables were added to the study.<br><br> <B>Main Topics</B>:<BR>The LFS household datasets cover:<ul><li>characteristics of the household: number of people of working age; number of people over working age; number of children aged 0 to 4; number of children aged 5 to 15; number of dependent children (i.e. those in full-time education) aged 16 to 18</li><li>economic activity in the household: number of people in employment; number of people in full-time employment; number of people in part-time employment; unemployed; economically inactive; students; sick or disabled; economically inactive but would like to work and are not seeking work because they do not believe there is work available ('discouraged workers'); care of dependants</li></ul>
URI:	https://t2-4.bsc.es/jspui/handle/123456789/62457
Other Identifiers:	10.5255/UKDA-SN-7687-3 7687 http://doi.org/10.5255/UKDA-SN-7687-3
Appears in Collections:	Cessda

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