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An investigation into the impact of deprivation on demographic inequalities in adults

Published online by Cambridge University Press:  05 May 2020

Les Mayhew Open the ORCID record for Les Mayhew [Opens in a new window] ,
Gillian Harper  and
Andrés M. Villegas
Les Mayhew*
Affiliation:
Faculty of Actuarial Science and Insurance Cass Business School, City University, University of London, UK
Gillian Harper
Affiliation:
Institute of Population Health Sciences Queen Mary, University of London, UK
Andrés M. Villegas
Affiliation:
School of Risk and Actuarial Studies and ARC Centre of Excellence in Population Ageing Research (CEPAR), UNSW Business School, UNSW Sydney, Australia
*
*Corresponding author. E-mail: [email protected]
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Abstract

This research investigates the impact of deprivation on demographic inequalities in England and Wales among adults. Using demographic measures including the modal age at death, life expectancy, lifespan variation and mortality, it shows a negative correlation with deprivation as measured by the 2015 Index of Multiple Deprivation. Although it finds that life expectancy is increasing overall and the gap between men and women is lessening, improvements are slower paced in more deprived areas such that the gap between rich and poor is slowly worsening over time. Men are more adversely impacted by deprivation than women with the gap in period life expectancy at age 30 in 2015 between the top and bottom 1% of deprived neighbourhoods at 10.9 years for men and 8.4 years for women. Between 2001 and 2015 inequalities in male mortality rates at age 44 were 4.4 times greater in the most deprived 10% of neighbourhoods than those in the 10% least deprived and were much higher than in intervening deciles. The worst deprivation is concentrated in specific areas. For example, in 22 out of 326 English districts, 25% or more of neighbourhoods are in the most deprived 10% and in 5 districts it is 40% or above.

Keywords

Mortality inequalitiesLifespan variationDeprivation
Type
Paper
Information
Annals of Actuarial Science , Volume 14 , Issue 2 , September 2020 , pp. 358 - 383
Copyright
© Institute and Faculty of Actuaries 2020

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