The estimation of mortality for ethnic groups at local scale within the United Kingdom☆
Introduction
Two dominant trends affected the UK population in the period since the Second World War. The first was continued population ageing, as a result of declining and low fertility and steady improvement in life expectancy, especially at older ages in recent decades (Dunnell, 2008). Population ageing was delayed and reduced by the baby boom of 1945–1970 but when these cohorts reach old age over the next quarter century ageing will be enhanced. During the 1950s and 1960s, when the smaller cohorts of 1925–1945 entered the work force, labour shortages led to immigration from both other European and extra-European countries. After a hiatus in the 1970s and 1980s, net immigration grew steadily in 1990–2008. The main demographic consequence of sustained international migration into a country is the growth of the population of immigrants and their descendants. If the native population is growing slowly, the ethnic composition of the population will change. This, in turn, leads to changes in national identity and culture. Coleman, 2006a, Coleman, 2006b has labelled this sequence of events the ‘Third Demographic Transition’.
Countries need to have a view of the future ethnic composition of the national population, which is likely to change substantially over the next 50 years. What demographers normally do to explore the future is to carry out projections of the population. These projections take into account the age and sex structure of the population and its spatial distribution at country, region and local levels (ONS, 2008a, ONS & GAD, 2006). Projections of the England and Wales population by ethnicity have been carried out (reviewed later) but are not currently included in the official projection series.
Why might we want to project the population of the UK's ethnic groups? The first reason is that if demographic intensities (rates or probabilities) vary across population sub-groups, then that heterogeneity (for evidence see ONS 2004) needs to be built into projections. The second reason is so that we can monitor equality of opportunity across ethnic groups, assess future labour supply in terms of size and skills and ensure schooling and other public services are adapted to a multi-ethnic population. In health care applications then, if ethnic groups experience different levels of health and are susceptible to different conditions, knowledge of these will inform the provision of local services (see Simpson, 2009 for a discussion). Since ethnic groups vary in their demographic behaviour (Penn, 2000) within a generally ageing population, different groups will be ageing at different rates. This has implications for the provision of formal and informal care, especially as different ethnic groups may have different cultural traditions on living arrangements and care of the sick and elderly. In health research contexts, estimates of populations to date and projections of future populations by age, sex and ethnic group provide denominators in morbidity and mortality rates so that inequalities can be assessed.
There are a number of challenges involved in ethnic population projection. These include the definition of ethnicity, the degree to which ethnic groups can be projected separately and how the fertility, mortality and international and sub-national migration assumptions should be prepared. One missing ingredient from previous projections of the UK population by ethnicity is knowledge about ethnic group mortality. The principal aim of this paper is to fill that gap by developing a method for estimating ethnic mortality.
The organization of the paper is as follows. The second section of the paper reviews work on projecting ethnic group populations in the UK and elsewhere and work on the ability of self-reported health to predict mortality for individuals and for geographical populations. The third section of the paper describes the data sets used in the current study. The fourth section outlines the method for ethnic mortality estimation that uses information on limiting long-term illness. The fifth section describes a method which re-weights local area mortality by the ethnic composition of the local population. After a comparison of the two methods, the sixth section selects a preferred method, the illness–mortality method and describes the principal results. The final section summarizes and evaluates the findings of the paper.
Section snippets
Are ethnic-specific mortality rates used in population projections?
Many national statistical agencies carry out population projections for the racial/ethnic groups that compose their national populations. The US routinely computes projections by race and Hispanic origin (US Census Bureau, 2008) and publishes life expectancies by race (NCHS, 2007). These reveal considerable differences: Black Americans had 5.5 fewer years of expected life than White Americans in 2003, for example, while the difference between Pakeha (European origin) and Maori life expectancies
The ethnic population data for local authorities
The United Kingdom is divided up for local administration into 434 lower tier areas, called local authorities (LAs) (see ONS, 2008d for a comprehensive map). In the present study we merged two pairs of local authorities in England because of the small residential population of one of the pair (Isles of Scilly with Penwith and City of London with Westminster). The results are reported for 352 local areas in England and 432 in the UK.
Ethnicity is a debated concept. It is defined in the UK to
The estimation of mortality rates by geographical weighting
We know that the spatial distributions of the different ethnic groups across local authorities in the UK are very clustered. Only the White British group is found everywhere. Assume to begin with that each ethnic group has the same mortality rate as the all group population in a local area. We can then form a sum of these local rates weighted by the population of the ethnic group in the local area. If a group is clustered in high mortality local areas this will mean a high national mortality
Comparison of methods
How do the results of these two methods compare? To answer this question we focus on life expectancy at birth, because this uses information from all age specific mortality rates. Comparison of the means showed that the two methods differ significantly for 12 of 16 male groups and 14 of 16 female groups, using Student's t test. So our choice of method matters.
Are the differences systematic? Fig. 5 suggests they are. On the graph we plot the SIR based e0 values on the X axis and GWM based e0
Discussion and conclusions
In this paper we have produced estimates of the mortality experience of the UK's ethnic groups in local authorities for all four home countries and presented results for England LAs. To our knowledge no equivalent estimates have been produced hitherto.
Estimates were prepared using two methods: the first inferred ethnic mortality from self-reported limiting long-term illness; the second inferred ethnic mortality by using ethnic populations to re-weight local area mortality to yield estimates of
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The research reported in this paper was supported by ESRC Research Award RES-163-25-0032, What happens when international migrants settle? Ethnic group population trends and projections for local areas. This research used 2001 Census data obtained via MIMAS's CASWEB facility and GIS boundary data obtained via EDINA's UKBORDERS facility, supported by ESRC and JISC. The Census, official Mid-Year Estimates and Vital Statistics data for England and Wales, Scotland and Northern Ireland have been provided by the ONS, GROS and NISRA and the digital boundary data by OSGB and OSNI. These data are Crown copyright and are reproduced with permission of OPSI.