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  <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.v10i3.3178</article-id>
      <article-id pub-id-type="publisher-id">10:3:141</article-id>
      <title-group>
        <article-title> Delivering analysis in the IDS to inform policy implementation – Child Fuel
          Poverty</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Yule</surname>
            <given-names initials="P">Phil</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Hartley-Binns</surname>
            <given-names initials="J">James</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Brunner</surname>
            <given-names initials="F">Franziska</given-names>
          </name>
          <xref ref-type="aff" rid="affil-2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Wise</surname>
            <given-names initials="T">Tom</given-names>
          </name>
          <xref ref-type="aff" rid="affil-2">2</xref>
        </contrib>
      </contrib-group>

      <aff id="affil-1"><label>1</label><institution>Office for National Statistics, Titchfield,
        United Kingdom</institution></aff>
      <aff id="affil-2"><label>2</label><institution>Office for National Statistics, Newport, United
        Kingdom</institution></aff>
      <pub-date>
        <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>3178</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/3178">This article is available from the
        IJPDS website at: https://ijpds.org/article/view/3178</self-uri>
    </article-meta>
  </front>
  <body>
    <sec>
      <title>Objectives</title>
      <p>Administrative data hold great potential for generating evidence for policy supporting
        issues and government missions. Our initial explorations typically examine whether the
        variables and indexes within the data held on the Integrated Data Service (IDS) provide a
        viable way to link this data, giving new policy insights to address issues.</p>
    </sec>
    <sec>
      <title>Methods</title>
      <p>Within IDS we essentially have three major spines, one <bold>Demographic</bold> index is
        basically a spine of all people in the UK, the <bold>Business</bold> index for businesses
        and the <bold>Address</bold> index covers all UPRN level addresses.</p>
      <p>The interesting part, of course, comes as a result of linking between those spines with
        data like the Census 2011/2021, Births, Labour Force Survey and HMRC’s PAYE RTI to name a
        few.</p>
      <p>This potentially unlocks the answers to policy questions from across government, vis-a-vis,
        household composition, or health and educational outcomes and much, much more.</p>
    </sec>
    <sec>
      <title>Result</title>
      <p>The IDS is a cross-government initiative, designed to transform the way de-identified data
        is made available for vital research and decision-making about our society and economy.
        Working collaboratively and using the power of linked data within the IDS, with key datasets
        acting as the spine of this research, we plan to provide policy makers with robust and
        collaborative evidence, to inform the decisions made across UK to improve people’s lives.
        This is an opportunity to engage with the research community and explore a new approach for
        IDS and ONS’s TRE offering.</p>
      <p>For example, we have recently commenced some fascinating research around child fuel poverty
        and this will accelerate throughout 2025. By the time of the conference, interesting
        insights and analysis will be ready to share with delegates.</p>
    </sec>
    <sec>
      <title>Conclusion</title>
      <p>This project improves understanding of Britain’s fuel poverty, the types of homes and
        households with children affected, economic drivers and geographic areas most impacted.
        Policy interventions, such as social tariffs, to alleviate hardship form part of the
        analysis. In time, health and educational outcomes could form part of iterative research.</p>
    </sec>
  </body>
</article>