Annual Population Survey Three-Year Pooled Dataset, January 2022 - December 2024

<p>The <em>Annual Population Survey</em> (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 <em>Labour Force Survey</em> (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 <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 <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> 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: <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 <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. Further information on the transition can be found in the <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> 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 <a href="https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/methodologies/analysisofthediscontinuityinthelabourforcesurveydisabilitydataapriltojune2017tojulytoseptember2017" target="_blank" rel="noopener">ONS Methodology</a> webpage. </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> <p><span style="font-weight: bold;">Latest edition information</span></p><p>For the second edition (December 2025), smoking variables were added to the dataset.</p>

《年度人口调查（Annual Population Survey, APS）》是一项核心调查系列，旨在提供可用于地方当局层面可靠估算的数据。该调查涵盖教育、就业、健康与种族等核心主题，其数据包含来自《劳动力调查（Labour Force Survey, LFS）》的关键变量、所有配套LFS增补样本及APS增补样本。APS旨在为英格兰提供优化后的年度数据，目标样本量为：每个单一管理区（Unitary Authority, UA）/地方当局辖区（Local Authority District, LAD）至少包含510名经济活动人口，每个大伦敦自治市至少包含450名经济活动人口。结合地方LFS增补样本，该调查可在全英范围内为地方教育当局（Local Education Authority, LEA）层面的多项指标提供估算值。

如需了解方法学的详细信息，用户可参阅随APS文档一同提供的《劳动力调查用户指南》。对于数据或当前APS文档中未涵盖的变量、值标签及编码框架，建议用户查阅最新版LFS用户指南，可从英国国家统计局（Office for National Statistics, ONS）官网的《劳动力调查用户指南》网页获取，相关链接：https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/methodologies/labourforcesurveyuserguidance

**2021年及2022年职业数据**
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，部分职业数据采集存在问题。尽管估算显示整体影响较小，但该问题将影响部分细分（四位数字标准职业分类（Standard Occupational Classification, SOC））职业的分类准确性，以及由此衍生的数据。除直接源自职业数据的核心统计指标外，ONS的所有核心统计数据均未受影响，用户可继续信赖其准确性。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：《英国2021年1月至2022年9月劳动力调查中错误编码职业数据的修订》，相关链接：https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/articles/revisionofmiscodedoccupationaldataintheonslabourforcesurveyuk/january2021toseptember2022

**APS福祉数据集**
2012年至2015年，ONS基于《综合住户调查（Integrated Household Survey）》发布了独立的APS数据集，用于提供主观福祉的初步估算值。2015年该类数据集停止发布。自A11M12批次起，4月至次年3月的APS个人数据集新增了一套独立的福祉变量及对应的权重变量。关于此次转型的更多信息，可参阅ONS官网发布的《英国个人福祉：2015至2016年》文章，相关链接：https://www.ons.gov.uk/peoplepopulationandcommunity/wellbeing/bulletins/measuringnationalwellbeing/2015to2016

**APS残疾变量**
随着时间推移，APS中的残疾变量经历了多次更新。一篇解释迄今为止针对这些变量开展的质量保证调查的文章，可在ONS方法学子网页查阅，相关链接：https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/methodologies/analysisofthediscontinuityinthelabourforcesurveydisabilitydataapriltojune2017tojulytoseptember2017

**最终用户许可与安全访问版APS数据**
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（End User Licence, EUL）协议发布，另一个为安全访问版。标准EUL版本包含政府办公室区域地理信息、分档年龄、主/副/末份工作的3位数字SOC及行业分类。安全访问版则包含更多详细变量，涵盖以下类别：
1. 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及最短受抚养子女年龄
2. 家庭单元与住户：包含多项与家庭中受抚养子女数量（按年龄划分）、与户主及家庭首脑的亲属关系相关的变量
3. 国籍与原产国
4. 地理信息：包含郡、单一/地方当局、工作地点、统计区域命名第二级（Nomenclature of Territorial Units for Statistics 2, NUTS2）与第三级（NUTS3）区域，以及是否在同一地方当局辖区内居住与工作
5. 健康状况：包含主要健康问题、当前与既往健康问题
6. 教育与学徒制：包含各类资质的数量与科目、与学徒制相关的变量
7. 行业：包含主/副/末份工作及被裁员时所在行业的行业、行业类别与行业组别
8. 职业：包含主/副/末份工作及被裁员时所在工作的四位数字标准职业分类（SOC）
9. 系统变量：包含访谈周数及住址内的住户数量

安全访问版数据的访问限制比标准EUL版本更为严格。潜在用户需获得ONS认证研究员身份，填写额外申请表，并向数据所有者充分说明其需要访问额外变量的原因。强烈建议用户先获取标准EUL版本的数据，确认其是否满足研究需求。

**最新版本信息**
第二版（2025年12月）新增了吸烟相关变量。