DSpace JSPUI

1. By-Covid
2. All content
3. Cessda

Title:	Annual Population Survey Household Dataset, January - December, 2015
Keywords:	INCOME RECRUITMENT HOUSING TENURE ECONOMIC ACTIVITY SELF-EMPLOYED COMPANIES WAGES SOCIO-ECONOMIC STATUS IMMIGRATION CARE OF DEPENDANTS SOCIAL SECURITY BENEFITS INDUSTRIES AGE EDUCATIONAL BACKGROUND TEMPORARY EMPLOYMENT JOB HUNTING CONDITIONS OF EMPLOYMENT PART-TIME EMPLOYMENT FAMILIES SHIFT WORK LABOUR FORCE LONGTERM UNEMPLOYMENT JOB CHANGING ETHNIC GROUPS ILL HEALTH TAX RELIEF EDUCATIONAL CERTIFICATES REDUNDANCY RELIGIOUS AFFILIATION UNEMPLOYED APPRENTICESHIP ORGANIZATIONS HOURS OF WORK HEALTH EMPLOYMENT SERVICES QUALIFICATIONS PLACE OF BIRTH WORKING CONDITIONS EMPLOYER-SPONSORED TRAINING CHILD CARE APPOINTMENT TO JOB HIGHER EDUCATION VOCATIONAL EDUCATION OCCUPATIONS CHILDREN APPLICATION FOR EMPLOYMENT OCCUPATIONAL QUALIFICATIONS SICK LEAVE HOUSEHOLDS DISMISSAL NATIONAL IDENTITY EMPLOYMENT HISTORY OCCUPATIONAL STATUS TRAINING MARITAL STATUS ARRANGEMENT OF WORKING TIME OCCUPATIONAL TRAINING FURTHER EDUCATION TERMINATION OF SERVICE DISABILITIES PUBLIC SECTOR LABOUR AND EMPLOYMENT RESIDENTIAL MOBILITY HOME-BASED WORK NATIONALITY SUPERVISORY STATUS HOME OWNERSHIP FULL-TIME EMPLOYMENT WORKPLACE GENDER SMALL BUSINESSES BONUS PAYMENTS PRIVATE SECTOR EMPLOYMENT SEASONAL EMPLOYMENT CHRONIC ILLNESS FIELDS OF STUDY SUBSIDIARY EMPLOYMENT UNEMPLOYMENT DEBILITATIVE ILLNESS EMPLOYEES BUSINESSES BUSINESS OWNERSHIP WELSH (LANGUAGE) EDUCATIONAL COURSES FLEXIBLE WORKING TIME HEALTH STATUS 2015
Description:	<P>Abstract copyright UK Data Service and data collection copyright owner.</P><p>The <i>Annual Population Survey</i> (APS) household datasets are produced annually and are available from 2004 (Special Licence) and 2006 (End User Licence). They allow production of family and household labour market statistics at local areas and for small sub-groups of the population across the UK. The data comprise key variables from the <i>Labour Force Survey</i> (LFS) (held at the UK Data Archive under GN 33246) and the APS 'person' datasets (held under GN 33357). The LFS is a quarterly survey of households living at private addresses in the United Kingdom. The APS person datasets are created by combining individuals in waves one and five from four consecutive LFS quarters with the English, Welsh and Scottish Local Labour Force Surveys (LLFS). The APS household datasets therefore contain results from four different sources.<br> <br> The APS household datasets include all the variables on the LFS and APS person datasets, except for the income variables. They also include key family and household level derived variables. These variables allow for an analysis of the combined economic activity status of the family or household. In addition they also include more detailed geographical, industry, occupation, health and age variables. For information on the APS person datasets, see GNs 33357 and 33376.<br><br><span style="font-weight: bold;">New reweighting policy</span><br>Following the&nbsp;<a href="http://doc.ukdataservice.ac.uk/doc/8343/mrdoc/pdf/biennial_lfs_aps_reweighting_policy.pdf" target="_blank" style="background-color: rgb(255, 255, 255);">new reweighting policy</a>&nbsp;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.<br> <br> <b>End User Licence and Secure Access APS data</b><br> Users should note that there are two versions of each APS dataset. One is available under the standard End User Licence (EUL) agreement, and the other is a Secure Access version. The EUL version includes Government Office Region geography, banded age, 3-digit SOC and industry sector for main, second and last job. The Secure Access version contains more detailed variables relating to:<ul><li>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</li><li>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</li><li>nationality and country of origin</li><li>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</li><li>health: including main health problem, and current and past health problems</li><li>education and apprenticeship: including numbers and subjects of various qualifications and variables concerning apprenticeships</li><li>industry: including industry, industry class and industry group for main, second and last job, and industry made redundant from</li><li>occupation: including 4-digit Standard Occupational Classification (SOC) for main, second and last job and job made redundant from</li><li>system variables: including week number when interview took place and number of households at address</li></ul>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.<br> <br> <b>Documentation and coding frames</b><br> 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 <a href="http://www.ons.gov.uk/ons/guide-method/method-quality/specific/labour-market/labour-market-statistics/index.html" title="Labour Force Survey - User Guidance">Labour Force Survey - User Guidance</a> webpages.</p><p><span style="font-weight: bold;">Occupation data for 2021 and 2022 data files</span><br> </p><p>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: <a href="https://www.ons.gov.uk/news/statementsandletters/occupationaldatainonssurveys">https://www.ons.gov.uk/news/statementsandletters/occupationaldatainonssurveys</a>.</p> For the second edition (October 2019), the 2018 weighting variable and previously unavailable variables HRP and RELHFU were added to the dataset. <B>Main Topics</B>:<BR>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.
URI:	https://t2-4.bsc.es/jspui/handle/123456789/62147
Other Identifiers:	8061 10.5255/UKDA-SN-8061-2 http://doi.org/10.5255/UKDA-SN-8061-2
Appears in Collections:	Cessda

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.