Annual Population Survey, July 2023 - June 2024

<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><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>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><em>年度人口调查（Annual Population Survey，APS）</em>是一项重要调查系列，旨在提供可生成地方当局层面可靠估计值的数据。调查涵盖的核心主题包括教育、就业、健康及族裔。APS包含<em>劳动力调查（Labour Force Survey，LFS）</em>的核心变量、所有相关的LFS增强模块及APS增强模块。APS旨在为英格兰提供增强型年度数据，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。结合地方LFS增强样本，该调查可提供全英国地方教育当局（Local Education Authority，LEA）层面各类指标的估计值。</p><p>如需了解更详细的方法论信息，用户应查阅《劳动力调查用户指南》，该指南包含在APS文档中。对于未包含在数据或当前APS文档中的变量及值标签和编码框架，建议用户查阅最新版LFS用户指南，可从英国国家统计局（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>网页获取。</p><p><strong>2021年及2022年职业数据</strong><br>英国国家统计局（ONS）已发现其多项调查的2021年及2022年数据文件中部分职业数据的收集存在问题。尽管ONS估计整体影响较小，但这将影响部分详细（四位数标准职业分类（Standard Occupational Classification，SOC））职业分类及其衍生数据的细分准确性。除直接源自职业数据的统计外，ONS的所有主要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更新。更多信息可参见ONS于2023年7月11日发布的文章：<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">英国国家统计局劳动力调查中编码错误职业数据的修订：2021年1月至2022年9月</a></p><p><strong>APS幸福感数据集</strong><br>2012-2015年，ONS基于<em>综合家庭调查（Integrated Household Survey）</em>发布了独立的APS数据集，旨在提供主观幸福感的初步估计值。2015年这些数据集停止发布。自A11M12起，一组独立的幸福感变量及对应的权重变量已被添加至4月-3月APS个人数据集。关于过渡的更多信息可在ONS网站的<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残疾相关变量</strong><br>随着时间推移，APS中的残疾相关变量已进行若干更新。关于迄今已开展的这些变量质量保证调查的说明文章可在<a href="https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/methodologies/analysisofthediscontinuityinthelabourforcesurveydisabilitydataapriltojune2017tojulytoseptember2017" target="_blank" rel="noopener">ONS方法论</a>网页获取。&nbsp;</p><div><strong>终端用户许可协议与安全访问APS数据</strong><br>用户需注意，每个APS数据集均有两个版本：一个可通过标准终端用户许可协议（End User Licence，EUL）获取，另一个为安全访问版本。EUL版本包含政府办公区域地理信息、年龄组、三位数SOC及主要工作、第二工作和上一份工作的行业部门信息。安全访问版本包含更详细的变量，涉及：</div><ul><li>年龄：单岁年龄、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及最小受抚养子女年龄</li><li>家庭单元及住户：包括与不同年龄段受抚养子女数量、与户主关系及与家庭户主关系相关的若干变量</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级（Nomenclature of Territorial Units for Statistics 2，NUTS2）及NUTS3区域，以及是否在同一地方行政区居住和工作</li><li>健康：包括主要健康问题、当前及过往健康问题</li><li>教育及学徒制：包括各类资格证书的数量及科目，以及与学徒制相关的变量</li><li>行业：包括主要工作、第二工作和上一份工作的行业、行业类别及行业组，以及被裁员前所在行业</li><li>职业：包括主要工作、第二工作和上一份工作及被裁员前工作的四位数标准职业分类（SOC）</li><li>系统变量：包括访谈所在周数及地址处的住户数量</li></ul><p></p><p>安全访问数据的访问条件比标准EUL版本更严格。潜在用户需获得ONS认证研究员身份、完成额外申请表，并向数据所有者明确说明其需要访问额外变量的原因。强烈建议用户首先获取标准EUL版本的数据，确认其是否满足研究需求。</p><p></p><br><p><br></p><br><B>核心主题</B>:<BR>涵盖主题包括：家庭构成及关系、住房权属、国籍、族裔及居住史、就业及培训（含政府计划）、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>