Annual Population Survey, April 2022 - March 2023

<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><p><span style="font-weight: bold;">Latest edition information</span></p><p>For the second edition (August 2023) the previous IDREF variable was replaced with an updated version.<br></p><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>本摘要版权归英国数据服务中心（UK Data Service）及数据采集版权所有者所有。</P><p><em>年度人口调查（Annual Population Survey，以下简称APS）</em>是一项核心调查系列，旨在提供可生成地方当局层面可靠估计值的调查数据。本调查涵盖教育、就业、健康与族裔等核心主题。APS整合了<em>劳动力调查（Labour Force Survey，以下简称LFS）</em>及其所有关联LFS补充样本与APS补充样本的关键变量。其目标是为英格兰提供优化后的年度调查数据，要求各单一行政当局（Unitary Authority，简称UA）/地方当局辖区（Local Authority District，简称LAD）的目标样本量不低于510名经济活跃人口，各大伦敦自治市镇的目标样本量不低于450名。结合地方LFS补充样本，本调查可针对全英范围内的地方教育当局（Local Education Authority，简称LEA）层面的一系列指标生成可靠估计值。</p><p>如需了解方法学的详细细节，用户可参阅APS文档中附带的《<em>劳动力调查用户指南</em>》。若数据或当前APS文档未包含变量、值标签与编码框架，请用户查阅英国国家统计局（Office for National Statistics，简称ONS）最新版LFS用户指南，可从其官方网页<a title="劳动力调查用户指南" 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>获取。</p><p><strong>2021年与2022年职业数据</strong><br></p><p>英国国家统计局（ONS）发现其多项调查的2021年与2022年数据文件中，部分职业数据的采集存在问题。尽管ONS估算整体影响较小，但这将影响部分细分（四位代码标准职业分类（Standard Occupational Classification，简称SOC））职业的细分数据及其衍生数据的准确性。除直接源自职业数据的统计指标外，ONS的核心统计数据均不受影响，用户仍可信赖其准确性。受影响的数据集现已完成更新。更多信息可参阅ONS于2023年7月11日发布的文章：<a title="英国国家统计局劳动力调查（2021年1月至2022年9月）中编码错误职业数据的修订" href="https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/articles/revisionofmiscodedoccupationaldataintheonslabourforcesurveyuk/january2021toseptember2022">《英国国家统计局劳动力调查（2021年1月至2022年9月）中编码错误职业数据的修订》</a></p><p><strong>APS幸福感数据集</strong><br></p><p>2012年至2015年，ONS发布了独立的APS幸福感数据集，旨在基于<em>综合家庭调查（Integrated Household Survey）</em>提供主观幸福感的初步估计值。该数据集于2015年停更。自A11M12批次起，幸福感相关变量及对应的权重变量已被加入4月至次年3月的APS个人数据集。关于此次转型的更多信息，可参阅ONS官网发布的<a title="英国个人幸福感：2015年至2016年" href="https://www.ons.gov.uk/peoplepopulationandcommunity/wellbeing/bulletins/measuringnationalwellbeing/2015to2016" target="_blank" rel="noopener">《英国个人幸福感：2015年至2016年》</a>文章。<br><br></p><p><strong>APS残疾相关变量</strong><br></p><p>随着时间推移，APS中的残疾相关变量经历了多次更新。一篇阐述目前已完成的此类变量质量保证调查的文章可在ONS方法学子网页<a href="https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/methodologies/analysisofthediscontinuityinthelabourforcesurveyydisabilitydataapriltojune2017tojulytoseptember2017" target="_blank" rel="noopener">ONS 方法学子网页</a>获取。&nbsp;</p><div><strong>最终用户许可协议与安全访问版APS数据</strong><br></div><p>用户需注意，每份APS数据集均包含两个版本：一个遵循标准最终用户许可协议（End User Licence，简称EUL），另一个为安全访问版。标准EUL版本包含政府办公区地理信息、分组年龄、主/副/末职的3位代码SOC与行业分类。安全访问版则包含更多详细变量，涉及：</p><ul><li>年龄：单一年龄、出生年份与月份、完成全日制教育的年龄、获得最高学历的年龄、最长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：包含多项与家庭中受抚养子女数量（按年龄分组）、与户主/家庭首脑的亲属关系相关的变量</li><li>国籍与原籍国</li><li>地理信息：包含郡、单一行政当局/地方当局、工作地点、二级区域统计单位（Nomenclature of Territorial Units for Statistics 2，简称NUTS2）与三级区域统计单位（Nomenclature of Territorial Units for Statistics 3，简称NUTS3），以及是否在同一地方当局辖区内居住与工作</li><li>健康：包含主要健康问题、当前与既往健康问题</li><li>教育与学徒制：包含各类资质的数量与学科，以及与学徒制相关的变量</li><li>行业：包含主/副/末职以及被裁员时所在行业的行业名称、行业类别与行业分组</li><li>职业：包含主/副/末职以及被裁员时所在岗位的四位代码标准职业分类（SOC）</li><li>系统变量：包含访谈周次与住址内的住户数量</li></ul><p>安全访问版数据的访问限制严于标准EUL版本。潜在用户需获得ONS认证研究员资质，填写额外申请表，并向数据所有者明确说明其需要访问额外变量的理由。我们强烈建议用户先获取标准EUL版本的数据，以确认其是否满足研究需求。</p><p><span style="font-weight: bold;">最新版本信息</span></p><p>2023年8月发布的第二版中，原IDREF变量已替换为更新版本。<br></p><br><p><strong>核心主题</strong><br>涵盖家庭构成与亲属关系、住房保有形式、国籍、族裔与居住史、就业与培训（含政府扶持项目）、工作场所与地点、求职、教育背景与资质。本调查包含的多数变量与LFS一致。<br></p>