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  dtd-version="1.2" article-type="abstract">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">IJPDS</journal-id>
      <journal-title-group>
        <journal-title>International Journal of Population Data Science</journal-title>
        <abbrev-journal-title>IJPDS</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="epub">2399-4908</issn>
      <publisher>
        <publisher-name>Swansea University</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.23889/ijpds.v10i3.3152</article-id>
      <article-id pub-id-type="publisher-id">10:3:123</article-id>
      <title-group>
        <article-title>Exploring Pathways to Children Missing from Education in Wales: A
          Longitudinal Linked Data Approach</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Whiffen</surname>
            <given-names initials="T">Tony</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>French</surname>
            <given-names initials="R">Robert</given-names>
          </name>
          <xref ref-type="aff" rid="affil-2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Helliwell</surname>
            <given-names initials="K">Kathryn</given-names>
          </name>
          <xref ref-type="aff" rid="affil-3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Barlett</surname>
            <given-names initials="S">Sophie</given-names>
          </name>
          <xref ref-type="aff" rid="affil-2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>O'Donovan</surname>
            <given-names initials="L">Lowri</given-names>
          </name>
          <xref ref-type="aff" rid="affil-2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Huxley</surname>
            <given-names initials="K">Katy</given-names>
          </name>
          <xref ref-type="aff" rid="affil-2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Sandu</surname>
            <given-names initials="A">Alex</given-names>
          </name>
          <xref ref-type="aff" rid="affil-2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Keating</surname>
            <given-names initials="J">Jen</given-names>
          </name>
          <xref ref-type="aff" rid="affil-2">2</xref>
        </contrib>
      </contrib-group>
      <aff id="affil-1"><label>1</label><institution>Welsh Government, Cardiff, United Kingdom</institution></aff>
      <aff id="affil-2"><label>2</label><institution>Cardiff University, Cardiff, United Kingdom</institution></aff>
      <aff id="affil-3"><label>3</label><institution>Welsh Government, Cardiff, United Kingdom</institution></aff>
      <pub-date date-type="pub" publication-format="electronic">
        <day>01</day>
        <month>06</month>
        <year>2025</year>
      </pub-date>
      <pub-date date-type="collection" publication-format="electronic">
        <year>2025</year>
      </pub-date>
      <volume>8</volume>
      <issue>4</issue>
      <elocation-id>3152</elocation-id>
      <permissions>
        <license license-type="open-access"
          xlink:href="https://creativecommons.org/licences/by/4.0/">
          <license-p>This work is licenced under a Creative Commons Attribution 4.0 International
            License.</license-p>
        </license>
      </permissions>
      <self-uri xlink:href="https://ijpds.org/article/view/3152">This article is available from the
        IJPDS website at: https://ijpds.org/article/view/3152</self-uri>
    </article-meta>
  </front>
  <body>
    <sec>
      <title>Objectives</title>
      <p>Children missing from state education is a significant policy concern, particularly since
        COVID-19. This study extends previous work by considering repeated cross sections of
        national child populations to show change over time and a cohort-based approach to better
        understand the longitudinal determinants of missingness from the state education system. </p>
    </sec>
    <sec>
      <title>Methods</title>
      <p>We link routine health and education administrative datasets in the SAIL Databank,
        including GP- and school registered children living in Wales along with those educated
        outside mainstream schooling (Educated Other Than At School, EOTAS). Using both
        cross-sectional and longitudinal approaches we assess for which years children were resident
        in Wales, and for which of those they were in state education. We use recorded low-level
        geography codes to determine whether that young person lived at a residential property or a
        communal establishment/institution (e.g. boarding school) and whether they are still
        resident in Wales.</p>
    </sec>
    <sec>
      <title>Results</title>
      <p>Initial analysis indicated that approximately 24,000 (6.0%) of children were estimated to
        be missing from state education in 2021, describing the variation by age (4.5% to 8.1%), and
        local authority. That work has now been updated with the most recent data to show the change
        in the pre-COVID to post COVID era. Furthermore, we have extended that cross sectional
        approach to establish a cohort for those expected to complete schooling in 2021 and to
        examine educational missingness longitudinally. Findings provide evidence on the importance
        of absence and exclusions as pathways to becoming children missing from state education.</p>
    </sec>
    <sec>
      <title>Conclusion</title>
      <p>Linking education to health records provides a robust estimate of children missing from
        education. Triangulating the cross-sectional approach with the updated cross section and
        cohort approaches enables more robust evidence of the determinants of children missing from
        education at the national and individual levels.</p>
    </sec>
  </body>
</article>