Annual Population Survey Two-Year Longitudinal Dataset, January 2022 - December 2023

<p>The <i>Annual Population Survey</i> (APS) is a major survey series, which aims to provide data that can produce reliable estimates at local authority level. Key topics covered in the survey include education, employment, health and ethnicity. The APS comprises key variables from the<a href="https://beta.ukdataservice.ac.uk/datacatalogue/series/series?id=2000026"> </a><i><a href="https://beta.ukdataservice.ac.uk/datacatalogue/series/series?id=2000026">Labour Force Survey</a></i> (LFS), all its associated LFS boosts and the APS boost.</p><p>The APS allows for analysis to be carried out on detailed subgroups and below regional level. In recent years (particularly with the sample size of the LFS 5 quarter dataset reducing) there has been some interest in producing a two year APS longitudinal dataset to look at any trends that may occur over a year. The APS Two-Year Longitudinal Datasets, covering 2012/13 onwards, have been deposited as a result of this work. <a href="https://beta.ukdataservice.ac.uk/datacatalogue/series/series?id=200002#!/access-data">Person- and Household-level APS</a> datasets are also available.</p><p> </p><p>For further detailed information about methodology, users should consult the <i>Labour Force Survey User Guide</i>, included with the APS documentation.</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. 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><br></p><p></p> <p><span style="font-weight: bold;">Latest edition information</span></p><p>For the second edition (August 2024), a revised version of the data was deposited with additional education variables added, including HIQUAL221, HIQUAL222, HIQUL22D1, HIQUL22D2, LEVQUL221 and  LEVQUL222.</p>

<p>年度人口调查（Annual Population Survey, APS）是一项核心调查序列，旨在提供可在地方当局层面生成可靠估算值的统计数据。该调查涵盖教育、就业、健康与族裔等核心议题。APS整合了<a href="https://beta.ukdataservice.ac.uk/datacatalogue/series/series?id=2000026">劳动力调查（Labour Force Survey, LFS）</a>的核心变量、所有配套LFS增补样本及APS增补样本。</p><p>APS支持对细分子群体及区域以下层级开展分析。近年来，尤其是随着LFS五季度数据集的样本量缩减，学界开始关注构建两年期APS纵向数据集，以观测年度间可能出现的趋势。本项工作产出了2012/13年度起的APS两年期纵向数据集，已完成归档。同时还提供了个人与家庭层面的APS数据集。</p><p> </p><p>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（Labour Force Survey User Guide）》。</p><p><strong>2021年与2022年职业数据</strong><br>英国国家统计局（Office for National Statistics, ONS）发现其多项调查2021年及2022年数据文件中的部分职业数据采集存在问题。尽管该局估算整体影响较小，但这将影响部分细分（四位标准职业分类（Standard Occupational Classification, SOC））职业的分项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未受影响，用户仍可信赖其准确性。更多详情可参阅英国国家统计局2023年7月11日发布的文章：<a title="英国2021年1月至2022年9月劳动力调查中编码错误的职业数据修订" href="https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/articles/revisionofmiscodedoccupationaldataintheonslabourforcesurveyuk/january2021toseptember2022">《英国2021年1月至2022年9月劳动力调查中编码错误的职业数据修订》</a><br></p><p></p><p><strong>最新版本信息</strong></p><p>2024年8月发布的第二版数据已完成归档修订，新增了HIQUAL221、HIQUAL222、HIQUL22D1、HIQUL22D2、LEVQUL221及LEVQUL222等教育相关变量。</p>

搜集汇总

背景与挑战

背景概述

该数据集是英国国家统计局编制的年度人口调查两年纵向数据集，覆盖2022年1月至2023年12月，用于追踪人口变化趋势。第二版于2024年8月更新，增加了教育相关变量，如HIQUAL221和LEVQUL222等，以支持更深入的社会经济分析。数据通过英国数据服务提供，需注册访问，适合用于纵向研究和政策评估。