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The impact of limiting long term illness on internal migration in England and Wales

New evidence from census microdata

Bibliographic Data

ID4590735
AuthorsSam Wilding (0000-0003-4184-2821, University of Southampton, corresponding author), David Martins (0000-0003-0397-0769, University of Southampton), David Martin (0000-0002-2914-8063), Graham Moon (0000-0002-7256-8397, University of Southampton)
Year2016
Volume167
Pages107-115
Publication date2016-10-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSocial Science & Medicine (JOURNAL)
Journal identifiersISSN: 0277-9536 • E-ISSN: 1873-5347
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.socscimed.2016.08.046
PMID27619754
OpenAlexW2509167122
LanguageEN
Citations received9
References cited63

Previous research has suggested that poor health is associated with reduced migration; this knowledge stems from models based on past censuses, or longitudinal studies which imply that the factors influencing migration are the same between those in good and poor health. This paper addresses these issues by utilising health-stratified analyses on the 2011 Census Individual Secure Sample for England and Wales. Multilevel models predict the odds of moving for working age adults, controlling for key predictors of migration, estimating the effect of health status on the odds of moving and the destination-specific variance in migration. We find that those in poor health are less likely to move, after controlling for individual level characteristics. In contrast with expectations, economic inactivity, marriage and being in African, Caribbean, Black, Other or Mixed ethnic groups were not significant predictors of migration among the unhealthy sample, but were for the healthy sample. We conclude that migration is health-selective and propose implications for understanding area level concentrations of poor health in England and Wales

Census · Environmental health · Ethnic group · Geography · Health equity · Health Survey for England · Internal migration · Logistic regression · Microdata (statistics · Multilevel model · Odds · Population · Public health · Sample (material · Sociology · Demography · Employment and Welfare Studies · Global Health Care Issues · Health disparities and outcomes · Medicine

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Unique citing works9
Citations per year1
Citation span2017 - 2023 (7)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 9

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