Annual Population Survey, October 2014 - September 2015

<P>Abstract copyright UK Data Service and data collection copyright owner.</P><p>The&nbsp;<em>Annual Population Survey</em>&nbsp;(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&nbsp;<em>Labour Force Survey</em>&nbsp;(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.</p><p>For further detailed information about methodology, users should consult the&nbsp;<em>Labour Force Survey User Guide</em>, 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&nbsp;<a title="Labour Force Survey - User Guidance" href="https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/methodologies/labourforcesurveyuserguidance" target="_blank" rel="noopener">Labour Force Survey - User Guidance</a>&nbsp;webpages.</p><p><strong>Occupation data for 2021 and 2022<br></strong>The 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:&nbsp;<a title="Revision of miscoded occupational data in the ONS Labour Force Survey, UK: January 2021 to September 2022" href="https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/articles/revisionofmiscodedoccupationaldataintheonslabourforcesurveyuk/january2021toseptember2022">Revision of miscoded occupational data in the ONS Labour Force Survey, UK: January 2021 to September 2022</a></p><p><strong>APS Well-Being Datasets</strong><br>From 2012-2015, the ONS published separate APS datasets aimed at providing initial estimates of subjective well-being, based on the&nbsp;<em>Integrated Household Survey</em>. 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.&nbsp;Further information on the transition can be found in the&nbsp;<a title="Personal well-being in the UK: 2015 to 2016" href="https://www.ons.gov.uk/peoplepopulationandcommunity/wellbeing/bulletins/measuringnationalwellbeing/2015to2016" target="_blank" rel="noopener">Personal well-being in the UK: 2015 to 2016</a>&nbsp;article on the ONS website.<br><br><strong>APS disability variables<br></strong>Over 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&nbsp;<a href="https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/methodologies/analysisofthediscontinuityinthelabourforcesurveydisabilitydataapriltojune2017tojulytoseptember2017" target="_blank" rel="noopener">ONS Methodology</a>&nbsp;webpage.&nbsp;</p><div><strong>End User Licence and Secure Access APS data<br></strong>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:</div><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><p>

</p><p>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.</p><p></p><br><b>Latest Edition Information</b><br>For the eighth edition (November 2019), a new version of the data file
was deposited, with the 2018 person and well-being weighting variables
included.<br><br><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. Many of the variables included in the survey are the same as those in the LFS.<br>

<P>摘要版权归英国数据服务（UK Data Service）及数据收集版权所有者所有。</P><p>《年度人口调查》（Annual Population Survey，APS）是一项重要的调查系列，旨在提供可在地方当局层面生成可靠估计的数据。调查涵盖的关键主题包括教育、就业、健康和种族。APS包含劳动力调查（Labour Force Survey，LFS）的关键变量、所有相关的LFS增强调查及APS增强调查。APS旨在为英格兰提供增强版年度数据，目标样本量为每个单一管理区（Unitary Authority，UA）/地方行政区（Local Authority District，LAD）至少510名经济活动人口，每个大伦敦自治区至少450名。结合地方LFS增强样本，该调查可为英国各地的地方教育当局（Local Education Authority，LEA）层面提供一系列指标的估计值。</p><p>有关方法论的更多详细信息，用户应查阅APS文档中包含的《劳动力调查用户指南》。对于未包含在数据或当前APS文档中的变量和值标签及编码框架，建议用户查阅最新版本的LFS用户指南，该指南可在英国国家统计局（Office for National Statistics，ONS）<a title="Labour Force Survey - User Guidance" href="https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/methodologies/labourforcesurveyuserguidance" target="_blank" rel="noopener">劳动力调查 - 用户指南</a>网页上获取。</p><p><strong>2021年和2022年职业数据<br></strong>英国国家统计局（ONS）发现其多项调查中2021年和2022年数据文件的部分职业数据收集存在问题。尽管整体影响估计较小，但这将影响部分详细（四位标准职业分类（Standard Occupational Classification，SOC））职业分类的准确性及其衍生数据。除直接源自职业数据的统计外，ONS的所有 headline 统计数据均未受影响，您可继续信赖其准确性。受影响的数据集现已更新。更多信息可在ONS于2023年7月11日发布的文章中找到：<a title="Revision of miscoded occupational data in the ONS Labour Force Survey, UK: January 2021 to September 2022" href="https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/articles/revisionofmiscodedoccupationaldataintheonslabourforcesurveyuk/january2021toseptember2022">英国ONS劳动力调查中错误编码职业数据的修订：2021年1月至2022年9月</a></p><p><strong>APS幸福感数据集<br></strong>2012-2015年，ONS基于综合家庭调查（Integrated Household Survey）发布了单独的APS数据集，旨在提供主观幸福感的初步估计。2015年这些数据集停止发布。从A11M12起，一组单独的幸福感变量及相应的权重变量已被添加到4月-3月的APS个人数据集中。有关过渡的更多信息可在ONS网站上的<a title="Personal well-being in the UK: 2015 to 2016" href="https://www.ons.gov.uk/peoplepopulationandcommunity/wellbeing/bulletins/measuringnationalwellbeing/2015to2016" target="_blank" rel="noopener">英国个人幸福感：2015至2016年</a>文章中找到。<br><br><strong>APS残疾变量<br></strong>随着时间推移，APS中的残疾变量已有一些更新。一篇解释迄今为止对这些变量进行的质量保证调查的文章可在<a href="https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/methodologies/analysisofthediscontinuityinthelabourforcesurveydisabilitydataapriltojune2017tojulytoseptember2017" target="_blank" rel="noopener">ONS方法论</a>网页上获取。</p><div><strong>终端用户许可和安全访问APS数据<br></strong>用户应注意，每个APS数据集有两个版本：一个可通过标准终端用户许可（End User Licence，EUL）协议获取，另一个是安全访问版本。EUL版本包含政府办公区域地理信息、分组年龄、主要工作、第二工作及最后一份工作的三位SOC和行业部门信息。安全访问版本包含更多详细变量，涉及：</div><ul><li>年龄：单一年龄、出生年月、完成全日制教育的年龄及获得最高学历的年龄、最大受抚养子女的年龄及最小受抚养子女的年龄</li><li>家庭单元及住户：包括多个变量，涉及家庭中按年龄划分的受抚养子女数量、与户主的关系及与家庭户主的关系</li><li>国籍及原籍国</li><li>地理：包括郡、单一管理区/地方当局、工作地点、统计 territorial 单位命名法2（Nomenclature of Territorial Units for Statistics 2，NUTS2）和NUTS3区域，以及是否在同一地方当局区内居住和工作</li><li>健康：包括主要健康问题、当前及过去的健康问题</li><li>教育和学徒制：包括各类资格证书的数量和科目，以及与学徒制相关的变量</li><li>行业：包括主要工作、第二工作及最后一份工作的行业、行业类别和行业组，以及被裁员前的行业</li><li>职业：包括主要工作、第二工作及最后一份工作和被裁员前工作的四位标准职业分类（SOC）</li><li>系统变量：包括访谈进行的周数和地址处的住户数量</li></ul><p>安全访问数据的访问条件比标准EUL下提供的数据更严格。潜在用户需要获得ONS认证研究员身份，完成额外的申请表，并向数据所有者明确证明其为何需要访问额外变量。强烈建议用户首先获取标准EUL版本的数据，以查看其是否满足研究需求。</p><p></p><br><b>最新版本信息</b><br>第八版（2019年11月）中，提交了一个新版本的数据文件，包含2018年个人和幸福感权重变量。<br><br><B>主要主题</B>:<BR>涵盖的主题包括：家庭构成及关系、住房权属、国籍、种族及居住史、就业及培训（包括政府计划）、工作场所及地点、求职、教育背景及资格证书。调查中包含的许多变量与LFS中的变量相同。<br>