Annual Population Survey, July 2021 - June 2022

<p>The <i>Annual Population Survey</i> (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 <i>Labour Force Survey</i> (LFS) (held at the UK Data Archive under GN 33246), all 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 <i>Local Labour Force Survey</i> (LLFS), the <i>Welsh Labour Force Survey</i> (WLFS), the <i>Scottish Labour Force Survey</i> (SLFS) and the <i>Annual Population Survey Boost Sample</i> (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 Archive. For further detailed information about methodology, users should consult the <i>Labour Force Survey User Guide</i>, selected volumes of which have been included with the APS documentation for reference purposes (see 'Documentation' table below).<br> <br> 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.<br><br><span style="font-weight: bold;">2022 Reweighting: Revision of Grossing Factors to be done<br></span>Over the last year, the LFS team have been working on reweighting datasets to account for newly delivered RTI tax information, adjusting Northern Ireland non-responses, and fixing the grossing factors where England and Wales had been combined (rather than doing them separately). This culminated in the ongoing release of datasets, notably Annual Population Survey datasets released on 20 July (UKDS editions were released in August 2022).</p><p>It has since been identified that while two of these issues were revised, the grossing factors for England and Wales were not fully revised. This means that error remains in the calculation of some of the population weights in the Annual Population Survey and therefore the age breakdown of the population in both England and Wales remains affected to a small extent. The most recent datasets (Oct2020-Sep2021 and onwards) are not affected, and breakdowns for the UK as a whole would be largely unaffected. The affected annual datasets are for Apr2019-Mar2020 to Jul2020-Jun2021 inclusive, and these datasets will need to be revised. ONS anticipate this will be done in the labour market statistics release due on 13 September 2022. Further information will be released in due course.</p><div><b>End User Licence and Secure Access APS data</b><br></div><p> 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:</p><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="https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/methodologies/labourforcesurveyuserguidance" title="Labour Force Survey - User Guidance" target="_blank">Labour Force Survey - User Guidance</a> webpages.<br> <br> <b>APS Well-Being Datasets</b><br> From 2012-2015, the ONS published separate APS datasets aimed at providing initial estimates of subjective well-being, based on the <i>Integrated Household Survey</i>. 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. <b>Users should no longer use the bespoke well-being datasets (SNs 6994, 6999, 7091, 7092, 7364, 7365, 7565 and 7566, but should now use the variables included on the April-March APS person datasets instead</b>. Further information on the transition can be found on the <a href="https://www.ons.gov.uk/peoplepopulationandcommunity/wellbeing/bulletins/measuringnationalwellbeing/2015to2016" title="Personal well-being in the UK: 2015 to 2016" target="_blank">Personal well-being in the UK: 2015 to 2016</a><br> <br> <b>Disability variables from 2013 onwards - LFS and APS</b><br> ONS have provided some information on changes since 2013 to the disability variables available on the LFS and APS. The Disability Discrimination Act (DDA) disabled (current disability) category within the historic DISCURR variable no longer corresponds with the advised legal definition of 'current disability'. DISCURR should only be available on LFS microdata from Spring 1998 to January-March 2013 (JM13); beyond that point users should ignore or delete it. In addition, the same 'DDA disabled (current disability)' category within variable DISCURR13 is also not the most appropriate variable to use because a) it is not comparable to the corresponding category in variable DISCURR due to question changes, and b) it no longer measures either the DDA definition of disability or the latest Equality Act definition of disability. However, DISCURR13 is available from the April-March 2013 quarter (AJ13) onwards and was introduced to demonstrate that the variables used to compile DISCURR had also changed from that quarter. Therefore, users are advised to use the disability variable DISEA from AJ13 onwards, which reflects the Equality Act 2010 legal definition of 'disabled', measured according to the <a href="http://www.ons.gov.uk/ons/guide-method/harmonisation/primary-set-of-harmonised-concepts-and-questions/long-lasting-health-conditions-and-illnesses--impairments-and-disability.pdf" title="GSS Harmonised Standard" target="_blank">GSS Harmonised Standard</a> on health conditions and illnesses. The harmonised disability variables DISEA and DISCURR13 should both be present on the APS person microdata from April 2013-March 2014 (A13M14) onwards. This ensures that APS users have a complete 12 months' data on which to base analysis of the variables. DISCURR should only be present on APS microdata up to and including April 2012-March 2013 (A12M13).<br> <br> <b>Variables DISEA and LNGLST</b><br> 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. <br> <br> An article explaining the quality assurance investigations that have been conducted so far is available on the <a href="https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/methodologies/analysisofthediscontinuityinthelabourforcesurveydisabilitydataapriltojune2017tojulytoseptember2017" target="_blank">ONS Methodology</a> webpage. For any queries about Dataset A08 please email [e-mail].<p></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> <p><span style="font-weight: bold;">Latest edition information</span></p><p>For the second edition (February 2023), education variables HIQUAL22, HIQUL22D, LEVQUL22 and QUAL21_1 to QUAL21_39 have been replaced in the data file, with previous miscalculations corrected.<br></p>

<p><i>年度人口调查</i>（Annual Population Survey, APS）是一项核心调查系列，旨在提供地方当局层面的可靠估计数据。调查涵盖的关键主题包括教育、就业、健康与种族。APS包含<em>劳动力调查</em>（Labour Force Survey, LFS）的核心变量（英国数据档案库编号GN 33246）、所有相关LFS增强样本及APS增强样本。因此，APS整合了五个来源的结果：LFS（第1波与第5波）、英格兰<em>地方劳动力调查</em>（Local Labour Force Survey, LLFS）、威尔士<em>地方劳动力调查</em>（Welsh Labour Force Survey, WLFS）、苏格兰<em>地方劳动力调查</em>（Scottish Labour Force Survey, SLFS）及<em>年度人口调查增强样本</em>（Annual Population Survey Boost Sample, APS(B)——该样本于2005年12月底停止使用，故2006年1月起的APS数据不含此样本）。用户需注意，LLFS、WLFS、SLFS与APS(B)未在档案库单独存档。如需方法论详情，用户应查阅《劳动力调查用户指南》，其中部分卷册已纳入APS文档作为参考（见下文“文档”表）。</p><p>APS旨在为英格兰提供强化的年度数据，目标样本为每个单一管理区（Unitary Authority, UA）/地方行政区（Local Authority District, LAD）至少510名经济活动人口，及大伦敦各行政区至少450名经济活动人口。结合WLFS与SLFS等地方LFS增强样本，调查可提供英国各地教育当局（Local Education Authority, LEA）层面的一系列指标估计值。</p><p><span style="font-weight: bold;">2022年重新加权：需修订总量因子<br></span>过去一年，LFS团队致力于重新加权数据集，以纳入新交付的实时信息（Real Time Information, RTI）税收数据、调整北爱尔兰无响应情况，并修正英格兰与威尔士合并计算的总量因子（改为单独计算）。此项工作的成果体现为持续发布的数据集，尤其是2022年7月发布的APS数据集（英国数据服务版于2022年8月发布）。</p><p>此后发现，尽管两项问题已修正，但英格兰与威尔士的总量因子未完全修订。这意味着APS中部分人口权重计算存在误差，导致英格兰与威尔士人口年龄细分受轻微影响。最新数据集（2020年10月-2021年9月及以后）不受影响，英国整体细分数据基本不受影响。受影响的年度数据集为2019年4月-2020年3月至2020年7月-2021年6月（含），这些数据集需重新修订。英国国家统计局（Office for National Statistics, ONS）预计将在2022年9月13日发布的劳动力市场统计中完成修订，后续将公布更多信息。</p><div><b>终端用户许可与安全访问APS数据</b><br></div><p>用户需注意，每个APS数据集包含两个版本：标准终端用户许可（End User Licence, EUL）版与安全访问版。EUL版包含政府办公区域地理信息、年龄分组、主要/次要/最后一份工作的3位标准职业分类（Standard Occupational Classification, SOC）及行业部门。安全访问版包含更详细的变量：</p><ul><li>年龄：单年龄、出生年月、完成全日制教育年龄、获得最高学历年龄、最年长/最年幼受抚养子女年龄</li><li>家庭单位与住户：含受抚养子女数量（按年龄划分）、与户主关系、与家庭户主关系等变量</li><li>国籍与原籍国</li><li>地理：含郡、单一管理区/地方当局、工作地点、欧盟统计领土单位命名法2（Nomenclature of Territorial Units for Statistics 2, NUTS2）与NUTS3区域、是否在同一地方行政区居住与工作</li><li>健康：含主要健康问题、当前与过往健康问题</li><li>教育与学徒制：含各类资格证书数量与科目、学徒制相关变量</li><li>行业：含主要/次要/最后一份工作及被裁员前的行业、行业类别与行业组</li><li>职业：含主要/次要/最后一份工作及被裁员前的4位标准职业分类（SOC）</li><li>系统变量：含访谈周数、地址住户数量</li></ul>安全访问版的访问条件比标准EUL版更严格。潜在用户需获得英国国家统计局（Office for National Statistics, ONS）认证研究员身份、填写额外申请表，并向数据所有者明确说明需访问额外变量的原因。强烈建议用户先获取标准EUL版数据，确认是否满足研究需求。<br><br><b>文档与编码框架</b><br>APS由LFS中的变量编译而成。若数据或当前APS文档未包含变量标签与编码框架（如教育、行业及地理变量的编码框架，见《LFS用户指南第5卷：分类》），用户应查阅最新版《LFS用户指南》，可通过ONS <a href="https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/methodologies/labourforcesurveyuserguidance" title="劳动力调查用户指南" target="_blank">劳动力调查用户指南</a>网页获取。<br><br><b>APS幸福感数据集</b><br>2012-2015年，ONS基于<em>综合住户调查</em>发布独立APS幸福感数据集，2015年终止发布。从A11M12起，4月-3月APS个人数据集新增独立幸福感变量及相应权重变量。<b>用户不应再使用定制幸福感数据集（编号SNs 6994、6999、7091、7092、7364、7365、7565、7566），而应使用4月-3月APS个人数据集的变量</b>。过渡详情见<a href="https://www.ons.gov.uk/peoplepopulationandcommunity/wellbeing/bulletins/measuringnationalwellbeing/2015to2016" title="英国个人幸福感：2015-2016" target="_blank">英国个人幸福感：2015-2016</a><br><br><b>2013年起的残疾变量——LFS与APS</b><br>ONS提供了2013年起LFS与APS残疾变量的变更信息。历史变量DISCURR中的《残疾歧视法案》（Disability Discrimination Act, DDA）残疾（当前残疾）类别不再符合“当前残疾”的建议法律定义。DISCURR仅在1998年春季至2013年1-3月（JM13）的LFS微观数据中可用，此后应忽略或删除。此外，变量DISCURR13中的同一类别也不适用：a）因问题变更，与DISCURR对应类别不可比；b）不再测量DDA或最新《平等法案》定义的残疾。但DISCURR13从2013年4-3月季度（AJ13）起可用，用于说明该季度起编译DISCURR的变量已变更。因此，建议用户从AJ13起使用DISEA变量，该变量反映《2010年平等法案》的“残疾”法律定义，基于<a href="http://www.ons.gov.uk/ons/guide-method/harmonisation/primary-set-of-harmonised-concepts-and-questions/long-lasting-health-conditions-and-illnesses--impairments-and-disability.pdf" title="GSS协调标准" target="_blank">政府统计服务（GSS）协调标准</a>测量健康状况与疾病。协调残疾变量DISEA与DISCURR13从2013年4月-2014年3月（A13M14）起纳入APS个人微观数据，确保用户拥有完整12个月数据用于变量分析。DISCURR仅在2012年4月-2013年3月（A12M13）及之前的APS微观数据中可用。<br><br><b>变量DISEA与LNGLST</b><br>ONS因2017年4-6月与7-9月间明显不连续而暂停的数据集A08（残疾人劳动力市场状况）现已恢复可用。由于该不连续及当前调查无结论，比较2017年4-6月与后续时期需谨慎。但需注意，估计值未季节性调整，部分季度变化可能源于季节性。2018年11月ONS发布2018年7-9月估计值时，将提供历史比较建议。<br><br>关于已开展质量保证调查的文章见<a href="https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/methodologies/analysisofthediscontinuityinthelabourforcesurveydisabilitydataapriltojune2017tojulytoseptember2017" target="_blank">ONS方法论</a>网页。查询数据集A08请发邮件至[e-mail]。<p></p><p><span style="font-weight: bold;">2021与2022年数据文件的职业数据</span><br></p><p>ONS发现2021与2022年多项调查中部分职业数据收集存在问题。尽管整体影响估计较小，但会影响部分详细（4位SOC）职业细分及衍生数据的准确性。除直接来自职业数据的统计外，ONS的头条统计不受影响，可继续依赖其准确性。更多信息见：<a href="https://www.ons.gov.uk/news/statementsandletters/occupationaldatainonssurveys">https://www.ons.gov.uk/news/statementsandletters/occupationaldatainonssurveys</a>。</p><p><span style="font-weight: bold;">最新版本信息</span></p><p>第二版（2023年2月）中，数据文件替换了教育变量HIQUAL22、HIQUL22D、LEVQUL22及QUAL21_1至QUAL21_39，修正了之前的计算错误。<br></p>