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September 5, 2025International Journal for Population Data ScienceOpen Access

Characterising residential mobility during childhood: comparing north-east London and Wales using linked electronic health records

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Authors

LNLaura NorthNFNicola FirmanJLJane Lyons

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Overview

Observational analysis reveals household characteristics influence residential mobility in children from Wales and north-east London, suggesting important sociodemographic implications.

Key Points

  • 32.1% of children in Wales experienced residential mobility, compared to 21.6% in north-east London over a five-year period.
  • Younger children showed higher residential mobility rates; for example, 40.1% of 0-4 year-olds in Wales experienced mobility compared to 25.3% in NEL.
  • Children living with four or more siblings had increased odds of moving; 5-9 year-olds in Wales had an odds ratio of 1.21.
  • The study highlights how different household compositions affect mobility, emphasizing the need for tailored support for families.

Cite This Study

North et al. (2025) studied this question.

synapsesocial.com/papers/68bb3d622b87ece8dc9567e2https://doi.org/10.23889/ijpds.v10i4.3192
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Characterising residential mobility during childhood in the United Kingdom: a longitudinal study using linked electronic health records2026
  2. 2Residential mobility amongst children and young people in Wales: A longitudinal study using linked administrative records2024
  3. 3Residential mobility and receipt of measles, mumps and rubella vaccination: analysis of linked primary care electronic health records in a disadvantaged London region2024
  4. 4Persisting social disadvantage and intercensal social mobility in Northern Ireland: an examination of morbidity and all-cause mortality using three waves of the Northern Ireland Longitudinal Study (NILS).2024
  5. 5Does change in area-level deprivation, change health outcomes? A latent class growth analysis of population data2025