Annual Population Survey, April 2016 - March 2017

<span style="font-weight: bold;">Latest edition information</span><br>For the fourth edition (February 2019), the values for Sub-Saharan Africa and North Africa contained in the variables CRYOX7_EUL_Sub and NATOX7_EUL_Sub have been corrected.<br>
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>
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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>
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<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>
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<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>
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<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>
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<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>
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<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>
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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].<br>
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<span style="font-weight: bold;">最新版本信息</span><br>针对2019年2月发布的第四版，变量CRYOX7_EUL_Sub与NATOX7_EUL_Sub中包含的撒哈拉以南非洲及北非地区数值已完成修正。<br><br><i>年度人口调查（Annual Population Survey, APS）</i>是一项核心调查系列，旨在提供可在地方当局层面生成可靠估计值的数据。调查涵盖的核心主题包括教育、就业、健康与种族构成。APS整合了<i>劳动力调查（Labour Force Survey, LFS）</i>（英国数据档案馆存档编号GN 33246）的核心变量、所有相关LFS补充样本以及APS补充样本。因此，APS整合了五个不同来源的结果：LFS（第1、5波）、英格兰<i>地方劳动力调查（Local Labour Force Survey, LLFS）</i>、威尔士劳动力调查（Welsh Labour Force Survey, WLFS）、苏格兰劳动力调查（Scottish Labour Force Survey, SLFS）以及<i>年度人口调查补充样本（Annual Population Survey Boost Sample, APS(B)）</i>——该补充样本于2005年12月底停止运行，因此2006年1月及之后的APS数据将不再包含APS(B)的内容。需注意，LLFS、WLFS、SLFS与APS(B)不会在档案馆单独存档。如需了解方法学的详细信息，请参阅<i>劳动力调查用户指南</i>，该指南的部分卷册已随APS文档一并提供供参考（详见下文「文档」表）。<br><br>APS旨在为英格兰提供增强型年度数据，目标样本为每个单一管理局（Unitary Authority, UA）/地方当局辖区（Local Authority District, LAD）至少510名经济活跃人口，大伦敦每个自治市至少450名。结合WLFS、SLFS等地方LFS补充样本，该调查可在全英国范围内为地方教育当局（Local Education Authority, LEA）层面的一系列指标提供估计值。<br><br><b>终端用户许可与安全访问版APS数据</b><br>需注意，每个APS数据集均包含两个版本：一个遵循标准终端用户许可（End User Licence, EUL）协议，另一个为安全访问版。EUL版本包含政府办公室区域地理信息、分组年龄、3位数职业分类标准（Standard Occupational Classification, SOC）以及主要、第二和最后一份工作的行业分类。安全访问版则包含更多详细变量，涵盖：<ul><li>年龄：单一年龄、出生年月、完成全日制教育的年龄、获得最高学历的年龄、最大受抚养子女年龄与最小受抚养子女年龄</li><li>家庭单元与住户：包括按年龄划分的家庭受抚养子女数量、与户主及家庭户主的关系等多项变量</li><li>国籍与原产国</li><li>地理信息：包括郡、单一/地方当局、工作地点、领土单位统计命名2级（NUTS2）与3级（NUTS3）区域，以及是否在同一地方当局辖区内居住与工作</li><li>健康状况：包括主要健康问题、当前与既往健康问题</li><li>教育与学徒培训：包括各类资格证书的数量与科目、与学徒培训相关的变量</li><li>行业：包括主要、第二和最后一份工作以及失业前所在行业的行业类别、行业细分与行业组</li><li>职业：包括主要、第二和最后一份工作以及失业前从事工作的4位数SOC</li><li>系统变量：包括访谈周数与住址住户数量</li></ul>安全访问数据的访问限制严于标准EUL版本。潜在用户需获得英国国家统计局（Office for National Statistics, ONS）认证研究人员资格，填写额外申请表，并向数据所有者明确说明需要访问额外变量的理由。强烈建议用户先获取标准EUL版本的数据，确认是否满足研究需求。<br><br><b>文档与编码框架</b><br>APS的变量源自LFS。对于未包含在数据或当前APS文档中的变量、数值标签与编码框架（例如教育、行业与地理变量的编码框架，存档于《LFS用户指南》第5卷《分类》中），建议用户查阅最新版LFS用户指南，可从英国国家统计局<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，英国国家统计局发布了独立的APS数据集，旨在基于<i>综合住户调查（Integrated Household Survey）</i>提供主观幸福感的初步估计值，2015年该系列停止更新。自A11M12批次起，一套独立的幸福感变量及对应的权重变量已被添加至4月至次年3月的APS个人数据集中。<b>用户不应再使用专属幸福感数据集（序列号SN 6994、6999、7091、7092、7364、7365、7565与7566），而应改用4月至次年3月APS个人数据集中包含的相关变量</b>。关于此次过渡的更多信息可参阅<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>网页。<br><br><b>2013年起的LFS与APS残疾变量</b><br>英国国家统计局提供了2013年以来LFS与APS残疾变量的变更说明。历史变量DISCURR中的「残疾歧视法（Disability Discrimination Act, DDA）残疾（当前残疾）」类别已不再符合当前法定的「当前残疾」定义。DISCURR仅在1998年春季至2013年1-3月（JM13）的LFS微数据中可用，后续版本应忽略或删除该变量。此外，变量DISCURR13中的同一「DDA残疾（当前残疾）」类别也并非最适宜的使用变量，原因在于：a) 由于调查问题变更，该类别与DISCURR中的对应类别不再具有可比性；b) 其既未反映DDA的残疾定义，也未涵盖最新的《平等法》残疾定义。不过，DISCURR13自2013年4-6月批次（AJ13）起可用，其引入用于说明自该批次起用于编制DISCURR的变量已发生变更。因此，建议用户自AJ13批次起使用残疾变量DISEA，该变量符合2010年《平等法》中「残疾」的法定定义，依据<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="政府统计服务协调标准" target="_blank">GSS协调标准</a>中关于健康状况与疾病的标准进行测量。自2013年4月至2014年3月（A13M14）批次起，协调后的残疾变量DISEA与DISCURR13均会出现在APS个人微数据中，以确保APS用户可获取完整的12个月数据用于变量分析。DISCURR仅在2012年4月至2013年3月（A12M13）及更早的APS微数据中存在。<br><br><b>变量DISEA与LNGLST</b><br>因2017年4-6月与2017年7-9月间存在明显数据不连续性，英国国家统计局暂停发布的A08数据集（残疾人士劳动力市场状况）现已恢复可用。鉴于该不连续性及当前阶段调查结果未明确，在2017年4-6月与后续时间段的数据间进行比较时需谨慎。同时需注意，该估算值未经过季节性调整，因此季度间的部分变化可能源于季节性因素。英国国家统计局将于2018年11月发布2018年7-9月的估算值时，就历史估算值的比较提供进一步建议。一篇解释目前已开展的质量保证调查的文章可参阅<a href="https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/methodologies/analysisofthediscontinuityinthelabourforcesurveydisabilitydataapriltojune2017tojulytoseptember2017" target="_blank">英国国家统计局方法论</a>网页。若对A08数据集有任何疑问，请发送邮件至[e-mail]。<br><br>