Annual Population Survey, October 2011 - September 2012

<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> <b>Latest Edition Information</b><br>For the fourth edition (November 2019), a new version of the data file was deposited, with the 2018 person and well-being weighting variables included.<br><br>

<p><em>年度人口调查（Annual Population Survey, APS）</em>是一项核心调查系列，旨在提供可用于地方当局层面生成可靠估算数据的调查项目。该调查涵盖的核心议题包括教育、就业、健康与族裔。APS整合了<em>劳动力调查（Labour Force Survey, LFS）</em>的核心变量、所有配套LFS增补样本以及APS自身增补样本的数据。本调查旨在为英格兰提供优化后的年度数据，目标样本量为：每个单一管理局（Unitary Authority, UA）/地方当局辖区（Local Authority District, LAD）至少覆盖510名经济活动人口，大伦敦自治市则至少覆盖450名。结合地方LFS增补样本，该调查可针对全英国范围内的地方教育当局（Local Education Authority, LEA）层级的一系列指标提供估算结果。</p><p>如需了解方法论的详细信息，使用者可参阅随APS文档一同提供的《劳动力调查用户指南》。若数据或当前APS文档中未包含变量、数值标签及编码框架，请参考最新版的LFS用户指南，该指南可在英国国家统计局（Office for National Statistics, ONS）的<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>网页获取。</p><p><strong>2021年与2022年职业数据</strong><br>英国国家统计局（ONS）发现，其多项调查的2021年及2022年数据文件中存在部分职业数据采集问题。尽管评估显示整体影响有限，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））职业的细分数据及其衍生数据的准确性。除直接源自职业数据的核心统计指标外，ONS的其他核心统计数据均不受影响，使用者可继续信赖其准确性。受影响的数据集现已完成更新。更多详细信息可参阅ONS于2023年7月11日发布的文章：<a title="英国ONS劳动力调查中编码错误的职业数据修订：2021年1月至2022年9月" href="https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/articles/revisionofmiscodedoccupationaldataintheonslabourforcesurveyuk/january2021toseptember2022">《英国ONS劳动力调查中编码错误的职业数据修订：2021年1月至2022年9月》</a></p><p><strong>APS幸福感数据集</strong><br>2012年至2015年间，英国国家统计局（ONS）基于<em>综合家庭调查（Integrated Household Survey）</em>发布了独立的APS数据集，用于提供主观幸福感的初步估算结果。2015年该系列数据集停止更新。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幸福感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><strong>APS残疾变量</strong><br>随着时间推移，APS中的残疾变量历经多次更新。一篇介绍迄今为止针对此类变量开展的质量保证调查的文章，可在英国国家统计局（ONS）的<a href="https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/methodologies/analysisofthediscontinuityinthelabourforcesurveydisabilitydataapriltojune2017tojulytoseptember2017" target="_blank" rel="noopener">方法论</a>网页获取。</p><div><strong>终端用户许可与安全访问版APS数据</strong><br>使用者需注意，每份APS数据集均包含两个版本：其一为遵循标准终端用户许可（End User Licence, EUL）协议的公开版本，其二为安全访问版本。标准EUL版本包含政府办公区域地理信息、分组年龄、主/副/末职的3位SOC职业编码及行业分类。安全访问版本则包含更多细化变量，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、获得最高学历的年龄、最长依赖子女年龄与最小依赖子女年龄</li><li>家庭单元与住户：涵盖多项与家庭内依赖子女数量（按年龄分组）、与户主及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：涵盖郡、单一管理/地方当局、工作地点、欧盟领土统计单位命名法2（Nomenclature of Territorial Units for Statistics 2, NUTS2）与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：涵盖主要健康问题、当前与既往健康问题</li><li>教育与学徒培训：涵盖各类资质的数量与科目，以及与学徒培训相关的变量</li><li>行业：涵盖主/副/末职以及被裁员时所在行业的行业分类、行业大类与行业组别</li><li>职业：涵盖主/副/末职以及被裁员时所在岗位的四位数字标准职业分类（SOC）编码</li><li>系统变量：涵盖访谈周数与住址内的住户数量</li></ul><p>安全访问数据的访问限制严于标准EUL版本。潜在使用者需获得ONS认证研究人员资质，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具体原因。我们强烈建议使用者先获取标准EUL版本的数据，确认其是否满足研究需求。</p><p><strong>最新版本信息</strong><br>第四版（2019年11月）已更新数据文件版本，新增了2018年个人及幸福感权重变量。<br><br></p>