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Project details

Housing Wealth and Community Health: Explanations for the Spatial Polarisation of Life Chances in Britain
Award No. L128251009

Contact:
Professor Daniel Dorling
School of Geography
University of Leeds
Leeds LS2 9JT
Tel: +44 (0)113 233 3347
Fax: +44 (0)113 233 3308
Click to email

Principal Researchers:
Professor Daniel Dorling
Dr. Mary Shaw
Ms. Nicola Brimblecombe


Duration of Research
January 1997 - October 1999

Research areas: Area inequalities/influences; Housing
Project Plan Project Summary

Background return to top
The 1980s saw an increase in the regional differences in mortality rates in Britain. At the same time, inequalities in death rates within areas of cities like Bolton, Brighton and Bristol also became more pronounced. These trends have focused attention on the spatial polarisation of mortality and whether it is connected to the widening variations in health between rich and poor in Britain.

Changes in access to owner-occupied and rented accommodation may have contributed to the spatial polarisation of mortality during the 1980s. This was a decade in which the supply of council housing declined sharply, with the result that medical factors may have become a more important criterion for the allocation of council housing. Poor health may also have acted as a barrier to owner-occupation. As housing choices become more dependent on both health and wealth, it is possible that poorer people in poorer health move to high-mortality areas and regions while richer people in better health move to lower-mortality areas and regions. Such a process would contribute to the geographical polarisation of health. Additionally, the area in which people live may have a subsequent effect on their physical or mental health.

Aims and Objectives
This project will investigate:

  • whether the spatial polarisation of mortality has continued through to 1994-1995, and whether it applies to all sex and age groups and for all main causes of death;
  • how closely the spatial divergence in mortality rates by area reflects the divergence in wealth;
  • the mechanisms underlying the observed patterns in mortality rates, and in particular, the impact of social policy and social changes over the last two decades.

It will thus contribute answers to the wider question of why there are persisting and widening socio-economic variations in health in Britain.

Study Design
The study will draw on a number of sources of data to shed light on the nature and causes of the spatial polarisation of mortality. These include regional and area data on mortality and data from the British Household Panel Study (BHPS). The Office for National Statistics will also be commissioned to carry out an analysis of longitudinal data on tenure and health from the Longitudinal Study.

In addition, interviews with council tenants, owner occupiers, mortgage lenders and those responsible for local authority housing allocation will be conducted to elicit the nature of the relationship between access to housing and the spatial polarisation of health.
As differences in health by area are likely to have far reaching implications for individuals, families and communities, in addition to searching for causes, the project will also look at effects. This will be done by conducting life history interviews, providing details of the experiences of those people often only represented in statistics. These interviews will be carried out with individuals from areas with high and with low mortality rates.

Policy Implications
The results of this research will be of interest to policy makers, housing and health practitioners, government advisers as well as other members of the academic community and the public in general and will have implications for policy concerning health, housing and the personal social services. The results will be disseminated in a variety of formats, ranging from newspaper articles to a series of papers in academic and practitioner journals, conferences and meetings with user groups. A full report will be made publicly available and a book covering all aspects of the research will be published upon completion of the project.

Project Summaryreturn to top
Geographical inequalities in health, and between richer and poorer areas in particular, are recognised to be an enduring feature of health inequalities in the UK. Tackling these geographical inequalities is central to the UK's broader strategy to reduce health inequalities. In February 2001, the government set two national targets to reduce health inequalities. One of these was to reduce the gap in life expectancy between areas with the lowest life expectancy and the population as a whole by at least 10% by 2010.

The project focused on recent trends in geographical inequalities in health (for analyses of historical trends in geographical inequalities see Southall's project). It examined the spatial polarisation of mortality in Britain in the 1990s at national and local levels. It also investigated the mechanisms which underlie it. The objectives were addressed through analyses of mortality data and census data. In addition, two local studies (Oxford and Brighton) were undertaken to shed light on the processes producing local variations in mortality. Particular attention was given to the contribution of housing to variations in health between areas.

Key findings

  • The spatial polarisation of mortality which began in the late 1970s/early 1980s has continued into the late 1990s.
  • Geographical inequalities in premature mortality now stand at the highest levels yet recorded.
  • Regions of Britain now have some of the highest mortality in the European Union. The highest SMRs are found in regions in Northern England and the industrial belt of Scotland. The geographical polarisation observed within Britain is also apparent within the wider European context: inequalities may, to a large extent, be driven by the increasing inequality within Britain.
  • Policies which have produced increased income inequality and poverty have helped to drive the polarisation of mortality. The geographical polarisation of health chances has been precipitated by a polarisation of life chances, in terms of employment opportunities, income and living standards. The health gap is now such that, in the period 1994-1997 in Britain, 24% of deaths of people aged 15-64 would not have occurred had the mortality rates of the least deprived decile of the population applied nationally; almost one quarter of all deaths can now be attributed to unfavourable socio-economic circumstances.
  • Housing wealth is strongly related to greater life expectancy. At the extremes, the homeless have death rates which are 25 times the national average. The death rates of bed and breakfast residents are four to five times those of the housed population; death rates for hostel residents are seven times greater; and the death rates for rough sleepers are 25 times greater than the death rates of the housed population. At the extremes, people living in the most salubrious housing in Britain (those holding over £100,000 of equity in their properties) can expect to live, on average, more than twice as long as those sleeping rough on the streets.
  • The migration of people moving out of declining areas and into booming areas has contributed to the spatial polarisation of mortality. Places where the size of the total population has shrunk have higher mortality on average than places where the population has grown. This suggests that people react to economic decline: those people who can leave are less likely to be living in poverty than those who remain.
  • The two case studies (Oxford and Brighton) provided evidence of high rates of morbidity and mortality in those who fall outside the normal tenure categories - those who are homeless and vulnerably housed. Postcode mapping established that deaths among young adults were clustered at the locations of hostels for the homeless.
return to top
Newsletter articles: Explaining geographical inequalities in health
Findings: Housing wealth and community health: exploring the role of migration
Web links: Social-medicine.com

 

 
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