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August 30, 2026Longitudinal and Life Course Studies0 citations

Patterns and Determinants of Childhood Residential Mobility Using Electronic Health Records

Characterising residential mobility during childhood in the United Kingdom: a longitudinal study using linked electronic health records

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Authors

NFNicola FirmanLNLaura NorthJLJane Lyons

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Overview

Longitudinal study uncovers high residential mobility rates in young children, highlighting how household composition and age drive family relocation.

Key Points

  • To assess how residential mobility varies across childhood age groups, family sizes, and household compositions using routine electronic health record data.
  • Conducted a longitudinal cohort study following 240,509 children (51.0% male) in north-east London and 398,959 children (51.3% male) in Wales aged 0–13 years on January 1, 2015, through December 31, 2019.
  • Identified residential mobility via address changes in linked electronic health records and estimated adjusted odds ratios (OR) with 95% confidence intervals (CI) across demographic strata.
  • Overall residential mobility was 20.6% in north-east London and 32.1% in Wales, peaking among children aged 0–4 years (25.3% in London and 40.1% in Wales).
  • Living with a single adult compared to two working-age adults increased mobility risk for children aged 10–13 years in north-east London (OR: 1.15; 95% CI: 1.07–1.25) and Wales (OR: 1.82; 95% CI: 1.73–1.91).
  • Households with four or more children had higher mobility rates among 10–13-year-olds in London (OR: 1.31; 95% CI: 1.18–1.46) and Wales (OR: 1.68; 95% CI: 1.56–1.82) compared to single-child households.
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Firman et al. (2026) studied this question.

synapsesocial.com/papers/6a93f00a6c1a8fb52e79c18chttps://doi.org/10.1332/17579597y2026d000000088
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