Health statistics 01 Spring 1999 Quarterly IN THIS ISSUE Page In brief 2 Health indicators 4 Socio-economic differentials in health: illustrations from the Office for National Statistics Longitudinal Study Reports the latest findings on social differences in health using the ONS Longitudinal Study Seeromanie Harding, Joanna Brown, Michael Rosato and Lin Hattersley 5 Prescribing for patients with asthma by general practitioners in England and Wales, 1994–96 Studies trends in the management of asthma in general practice, particularly in the use of inhaled steroids and inhaled bronchodilators Azeem Majeed and Kath Moser 16 Death certification and the epidemiologist Describes the various processes by which deaths are certified in England and Wales and illustrates the importance of accurately recording causes of deaths Tim Devis and Cleo Rooney 21 Trends in mortality of young adults aged 15 to 44 in England and Wales Updates a previous analysis investigating the reasons for the levelling of mortality in young adults since the mid-1980s Paul Aylin, Karen Dunnell and Frances Drever 34 Weekly deaths in England and Wales Describes the method used by ONS to estimate weekly death registrations between 1995 and 1998 and the alternative methods investigated during 1996–98 Sue Kelly and Helen Lawes 40 Annual update: 1997 Mortality statistics: Cause (England and Wales) 44 Tables List of tables Tables 1.1–6.3 Notes to tables 47 48 70 Recent ONS publications 71 Government Office Regions and counties in England 71 London: The Stationery Office A publication of the Government Statistical Service Health Statistics Quar terly 01 Spring 1999 in brief 1991 Censuses with information from birth and death registration through to the late 1990s for a 1 per cent sample of the population. Launched In autumn 1997 ONS announced that it was conducting a review of the case for funding the addition of 2001 Census data and subsequent events up to 2011. The review was conducted by a team comprising Richard Bartholomew (Department for Education and Employment), Professor Angela Dale (Manchester University), John Pullinger (ONS), Dr Gabriel Scally (NHS Executive), Tim Skinner (Australian Bureau of Statistics), and Marian Storkey (London Research Centre), with support from Jillian Smith (ONS) and Professor Heather Joshi (City University). Welcome to the first issue of Health Statistics Quarterly. It has taken a year to plan this new publication – starting with consultation with customers, then planning the programme of articles, revising the tables, agreeing a timetable for the inclusion of monitor material throughout 1999 and, not least, ensuring that this publication and Population Trends form a coherent and comprehensive package of the work we do in ONS on demography and health. I trust that customers, old and new, will find Health Statistics Quarterly informative and useful in their work. We intend to be dynamic, reflecting our customers’ needs, and any comments and contributions on our new quarterly reporting strategy will be most welcome. Karen Dunnell Population and Health Monitors A key part of the development of our population and health publications is to discontinue the Population and Health Monitor Series and to incorporate the information in Health Statistics Quarterly and Population Trends. Between them these two publications will contain most of the data previously issued in Population and Health Monitors but with the new title of ‘Reports’. Alternative arrangements are being made for the local population estimates and electoral statistics. Data for these will be published separately in order to meet required publication dates. All abortions monitor data are replaced by a regular table (4.2) in Health Statistics Quarterly. There will also be a regular graph showing quarterly abortions rates for residents of England and Wales from 1981 onwards. Office for National Statistics 2 Figures for the September quarter of 1998 show a provisional abortion rate of 13.7 per 1,000 women aged 14–49. This is an increase of 4 per cent compared with the same quarter in 1997. A rise is shown in all age groups except the 45 and over group. Since the March quarter of 1996 there has been an upward trend in the abortion rate as shown by Figure D on page 4. 2001 Census information to be added to the ONS Longitudinal Study Following a review, plans are now being made to include information from the 2001 Census and subsequent events in the ONS Longitudinal Study. The ONS Longitudinal Study has brought together information from the 1971, 1981 and The review team consulted widely and received many detailed comments and thoughtful submissions. It reported in June 1998 and recommended that a strong case exists for adding information from the 2001 Census and subsequent events up to 2011. ONS has accepted these recommendations. The review team’s report will be published on 22 February. The executive summary appears below. Executive Summary of the 1998 Review of the ONS Longitudinal Study Every ten years, prior to the decennial census of population, a review of the Office for National Statistics Longitudinal Study (LS) is completed to make the case for linking the next LS/Census sample into the study and for the next decade’s data capture of vital event information. A review board of six people, five of whom are external to ONS, with a range of relevant experience, was convened to assess the LS in the context of a wider strategy for longitudinal data, to review the framework in which the LS has operated and past and planned uses up to 2001, to consider what would be gained by adding the 2001 Census and subsequent event data to 2011 and to make recommendations. Health Statistics Quar terly 01 In the course of the review, comments on the study were invited from many organisations and individuals, including government departments, research councils, centres and societies, independent foundations and institutes, regional health authorities and a wide range of social statistics interests in the GSS. Comments were also invited through newsletters, user groups and committees. The Longitudinal Study (LS) is a dynamic document of the social fabric of England and Wales. Its combination of health, geography, household and occupational information has made it a valuable tool to monitor a broadly conceived policy of public health as well as to support a range of other policy areas from health inequalities to housing. Research commissions have come from a large number of academic institutions as well as the Health and Safety Executive, Department of Health, Inland Revenue, Department of the Environment, Transport and the Regions, the Lord Chancellor’s Department, Department for Education and Employment, Welsh Office, Higher Education Funding Council and the Arts Council and from within ONS itself. Quality is an asset in the LS due to the design of the study and the care with which it is maintained. The quality checking completed in preparation of the LS provides a significant saving in terms of the skilled weighting and imputation work which would otherwise be needed. While it is important not to be complacent about possible biases, the overall high representativeness of the data greatly enhances robustness and confidence in analysis. The study is often used as a validator for new classifications and other data sets. It also provides a focus for skills and methods for the management and analysis of complex longitudinal data. A range of other countries have linked datasets which are similar to some aspects of the England and Wales LS. These include Denmark, Finland, France, Israel, the Netherlands, Norway, Sweden and the USA. The Scandinavian registration systems give these countries an opportunity to produce 100 per cent linkage of data sources for analysis. Clearly other countries find linked datasets safe and worthy of investment. However very few countries maintain a supported, dynamically linked research database suitable for a range of analyses with the level of access offered by the LS. Other countries, such as Australia, New Zealand, Scotland and Northern Ireland are looking at the opportunities of initiating something with features akin to the LS. The LS is surrounded by a very comprehensive set of security measures to provide a safe setting. It has also had the benefit of an aware guardianship, sensitive to both real and perceived confidentiality issues. Nevertheless the evolution of the access arrangements shows where possible opportunities to help users have been taken. This should continue, but the need for maintenance of confidentiality must remain paramount. The main options for potential new developments of the LS database are increasing access, increasing the sample size and additional linkage. Of these the first raises issues of confidentiality which must be considered before any change, the second is very costly and the third has significant policy interest but must be approached cautiously to ensure that public confidence and privacy are safeguarded. Costing estimates are at an early stage, but the possibility of making the 2001 LS/Census link through automatic matching of records, would seem to offer substantial efficiency savings. We believe that such an approach would be feasible and would not compromise confidentiality. The research value of the timely arrival of a completed, 2001 inclusive LS database means that business as usual data capture, quality maintenance and documentation should be maintained through the link period. The steady state management of the LS occupies twenty staff. The activities relate to seven different functions across three ONS locations (London, Southport and Titchfield). Given the nature of the work it would not be cost effective to co-locate these activities and their separation has always been regarded as an additional confidentiality assurance. The use of record linkage is a cost-effective way of providing the information in the LS database. If it were to be gathered by bespoke surveys, the costs would have to be augmented by the costs of fieldwork and following half a million individuals and it would take thirty years to build to the current time span. Spring 1999 will be undertaken to establish the level of these potential savings. We conclude that the LS is a powerful and flexible database which fills a unique position in the range of social and demographic sources for statistics in the UK. Though confidentiality restrictions are comprehensive they are necessary and have not prevented a wide range of organisations, including government departments, from making extensive use of the data. Arrangements for management and processing of the LS are satisfactory, but some efficiency developments are possible, especially automatic linkage of the 2001 LS/Census sample, if confidentiality considerations allow. Such a link would be of great value as would the next ten years of event data capture into the study. We recommend that these take place and that the LS continues to develop its access arrangements and further considers linkage to other data sources. The full report, Report of the ONS Longitudinal Study Review, 1998, is available from: Sales Office Room B1/6 Office for National Statistics 1 Drummond Gate London SW1V 2QQ Tel: 0171-533 5678 Opportunities to make efficiency savings have been taken over the years and remaining labour intensive tasks are important in maintaining the quality of the LS data. Further efficiency savings which are feasible are in the area of automation of event processes and, particularly, in automating the 2001 LS/ Census link. These should be thoroughly explored. In line with ONS policy the LS database is provided free to the point of analysis. From this point on a general policy of recovery of full economic cost should be applied. For the LS this would apply to academic computing costs. The yearly cost of the LS, including linkage of census data, is £850,000. Early estimates indicate that automation might reduce this amount to £700,000 per year. Further work 3 Office for National Statistics Health Statistics Quar terly 01 Spring 1999 Health indicators Figure A England and Wales Population change (mid-year to mid-year) Thousands 200 100 0 Net migration and other changes Natural change Total change 8 –9 7 97 6 –9 5 –9 96 95 4 –9 94 –9 3 93 2 –9 92 1 –9 91 0 –9 90 9 –9 89 8 –8 88 7 –8 87 6 –8 86 5 –8 –8 84 85 4 3 –8 2 –8 83 82 1 –8 0 –8 81 80 9 –8 79 8 –7 78 7 –7 77 6 –7 76 5 75 –7 –7 74 3 –7 –7 73 72 2 –7 71 19 4 -100 Mid-year Figure B Age-standardised mortality rate Rate per million population 20,000 15,000 10,000 5,000 0 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 Year Figure C Infant mortality (under 1 year) Rate per 1,000 live births 20 15 10 5 0 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 Year Figure D Quarterly abortion rates – residents Rate per 1,000 women 14–49 15 14 13 12 11 10 Abortion rate 9 8 1981 1982 1983 1984 1985 Office for National Statistics 1986 4 1987 1988 1989 1990 Year Moving average rate 1991 1992 1993 1994 Provisional rate 1995 1996 1997 1998 Socio-economic differentials in health: illustrations from the Office for National Statistics Longitudinal Study Seeromanie Harding, Joanna Brown, Michael Rosato and Lin Hattersley, ONS BACKGROUND Monitoring the health of the nation is central to the government’s initiative to reduce inequalities in health. Using the ONS Longitudinal Study, the latest findings on health inequalities at various stages of the life course are reported. Some of the areas covered in this study are: trends in class mortality and the influence of unemployment; the impact of social deprivation in childhood and young adulthood on health in later life; and the health of children born to Irish migrants in England and Wales. The advantage of studies using longitudinal rather than cross-sectional data to examine the impact of social deprivation on health is that by tracking the same individuals over time, accurate monitoring of health differentials can be made. In the recent Government Green Paper, Our Healthier Nation: a contract for health, 1 Longitudinal Study research was used to show that social gradients in mortality widened during the 1980s.2, 3, 4, 5, 6 Studies have also shown the importance of early life factors on adult health. The notion of accumulation of risk of adverse events over time has direct relevance to policies that aim to arrest or reverse social deprivation. As part of a study of the impact of social exclusion on health in adult life, children living in children’s homes and young men in places of detention were followed up for 25 years.7 Another study of the health of children born to Irish migrants examined the effects of socio-economic position on health. 8, 9 This paper has a dual purpose of presenting updated findings from these studies and demonstrating the usefulness of longitudinal data in monitoring the health of the nation. METHOD The Longitudinal Study is a record linkage study that contains information on individuals and households from censuses and routinely registered vital events. Details of the study can be found elsewhere. 10 It began in 1971 and is based on a representative 1 per cent sample (about 550,000 people) of the population of England and Wales. There is a range of information from the censuses that can be used to classify people into different social groups. In the following analyses, established indicators of socio-economic status such as occupation based social class, housing tenure and access to cars were used.6, 11 5 Office f or National Statistics Health Statistics Quar terl y 01 Spring 1999 Three outcome measures were used: death from all causes during the period 1976–95, the incidence of major cancers 1976–90, and the prevalence of limiting long-term illness in 1991. Most of the analyses presented in this paper were based on individuals present at the 1971 Census, the cohort with the longest follow-up (Box One). As is now conventional for occupation-based social class analysis of longitudinal data, the first five years of follow-up (1971–75) were excluded from the analysis to allow for the effects of health selection (Box One).12 A range of statistical approaches was used. Death and cancer incidence rates were standardised by the direct method, using all Longitudinal Study women and men as standard populations. Life tables were used to derive life expectancy at birth for each social class. A summary measure of class differences, the index of inequality 13 (Box One), was calculated to avoid the problem of comparing socio-economic categories of different sizes. Smaller categories at the extremes are likely to lead to larger ratios when comparing the bottom with the top of the hierarchy. This indicator of social position was then related to death rates and cancer incidence rates using Cox regression analysis. Cox regression models were also used to examine joint influences, such as Irish origin and social class, on health outcomes. MONITORING TRENDS IN OCCUPATION- BASED SOCIAL Box one CLASS DIFFERENTIALS IN MORTALITY THE 1971 AND 1981 COHORTS The 1971 Cohort comprises all Longitudinal Study (LS) members present at the 1971 Census and traced in the National Health Service Central Register (NHSCR). LS members were classified by their socio-economic details at the 1971 Census and, for those who sur vived the first ten years, at the 1981 Census and followed-up to the end of 1995. The 1981 Cohort comprises all LS members present at the 1981 Census and traced in the NHSCR. HEALTH SELECTION In a longitudinal study, health selection may affect mortality differentials in the early period of follow-up. Health selection refers to the process whereby individuals are included or excluded from a group because of their health status. Employed individuals are generally assigned to a social class. They also tend to be healthier than those out of work. The effects of health selection on mortality differences by social class reduce with increased follow-up. Most of the effect disappears after the first five years. THE INDEX OF INEQUALITY Comparisons of rate ratios between socio-economic categories are affected by the difference in sizes of the groups. Smaller groups at the extremes are likely to lead to larger ratios when comparing the bottom with the top of the hierarchy. The index of inequality was constructed to avoid this problem as adjustments were made for the different group sizes. 13 Social class, based on all six levels within each five-year age-band was assigned a value between zero and one according to the proportion of subjects above the midpoint of each class. For example, men aged 40–44 in social class I comprised 6 per cent and were assigned a value of 0.03, which was the proportion of subjects above the midpoint of that class; those in the next class comprised an additional 21 per cent and were assigned a value of 0.06 + (0.21 / 2) = 0.17. This indicator of social position was then related to mortality rates using Cox regression. The relative risks were adjusted for age at entry to study. A value of 1.00 indicates equality between the groups. Above 1.00 represents higher mortality among the less advantaged. Office for National Statistics 6 It is increasingly recognised that longitudinal data is required for accurate measurement of socio-economic differentials. Issues related to numerator/denominator biases and mobility between classes can obscure real trends when cross-sectional data is used. There has been consistent evidence of social class patterns in mortality in the UK. Recently the emphasis has been on measuring trends over time, the influence of other factors, such as employment status, and gender differences in these differentials. Examining mortality of women by social class is usually problematic in England and Wales because of intermittent labour market participation. Details of partner’s occupation from the censuses were linked to members’ records so that women who could not be classified to an occupation were classified by their partner’s. When this method was used, the proportion of classified women increased from about half to three-quarters. Figure 1 shows trends in life expectancy at birth by social class for women and men. Children were classified by parental social class. Among women, life expectancy at birth varied systematically with social class in the 1980s. In the 1990s, life expectancy of women in professional or managerial jobs was 81 compared with 78 years for women in partly skilled or unskilled jobs. Between the late 1970s and early 1990s, life expectancy increased for all classes but the rate of increase differed by class. This accounts for the narrowing of class differences between the late 1970s and early 1980s followed by an increase. Between the 1970s and early 1990s, the largest gain in life expectancy was made by women in professional and managerial jobs (three years) and the smallest by those in partly skilled and unskilled jobs (two years). Among men, life expectancy varied systematically over the entire period of follow-up. In the 1990s, life expectancy at birth of men in professional or managerial jobs was 76 compared with 71 years for men in partly skilled or unskilled jobs. Between the 1970s and early 1990s, the largest gain in life expectancy was made by men in non-manual skilled jobs (four years) and the smallest by those in partly skilled and unskilled jobs (three years). The calculation of life expectancy included individuals who joined the study after it began in 1971. Changes in the classification of occupations to a social class over time could have had some influence on these trends. In the following analysis (Figures 2 and 3), only men and women who were present at the start of the study were included in the analysis, and as they were classified to a social class at the start of study, only one classification of occupations was used. Occupation details were recorded for those aged 15 and over but those aged 15–34 were censored out of the analyses to avoid the bias from the ageing of the cohort over time. Those aged 65 and over were excluded because of the poorer quality of occupation information at post retirement ages. Health Statistics Quar terly 01 Figure 1 Trends in life expectancy at birth by occupation-based social class, England and Wales Women Years 82 Years 82 80 80 78 78 76 76 74 74 72 Manual skilled Non-manual skilled Partly skilled and Unskilled Manual skilled Non-manual skilled Partly skilled and Unskilled 68 66 66 1977–81 1982–86 1987–91 1992–95 Using the index of inequality, trends similar to those observed with life expectancy were seen for women (Figure 2). Figure 3 shows that death rates fell in each class grouping. The narrowing of relative differences in the early 1980s was due to a larger fall in the death rates in manual than in the non-manual class grouping. This was followed by larger falls in death rates in the non-manual classes, which resulted in a widening of the class differential. Among men there was a trend of increasing relative class differences over the last two decades (Figure 2). The increase in class differences was progressive compared with those from the life expectancy approach and this was probably due to the differences in approach Figure 2 Trends in occupation-based social class differences in mortality among women and men, aged 35–64: relative risk based on index of inequality. 1971 cohort, England and Wales 1977–81 1987–91 1992–95 The influence of employment status on class differentials in mortality The relationship between unemployment and ill health is well established. 5, 14, 15, 16 Recent work has shown that people experiencing more than one period of unemployment have higher mortality than those in continuous employment.15 Unemployment rose between the 1970s and 1980s and in this section we examine the impact of unemployment on class mortality. Trends in death rates by occupation-based social class among women and men aged 35–64. 1971 cohort. England and Wales Death rates/100,000 persons 4500 Women Men 2.8 4000 2.6 3500 2.4 B 2.2 B 1982–86 mentioned earlier. The increase in class differentials was due to the greater fall in the death rates of men in professional/managerial jobs than in that of those who were in partly/unskilled jobs (Figure 3). Figure 3 Relative risk 3.0 1.6 Professional and managerial 70 68 1.8 Men 72 Professional and managerial 70 2.0 Spring 1999 B B B B 2500 2000 B 1500 B 1.4 3000 1000 500 1.2 1.0 1976–81c+ 1981c+–85 1986–91c+ 1991c+–95 +1981/91 refers to day before census day in the first time period and census day onwards in the following time period. 0 1976–81c+ Male manual Male non-manual Female manual Female non-manual 1981c+–85 1986–91c+ 1991c+–95 + 1981/91 refers to day before census day in the first time period and census day onwards in the following time period. 7 Office f or National Statistics Health Statistics Quar terl y 01 Table 1 Spring 1999 Trends in death rates/100,000 persons by employment status and social class among men aged 36–64. 1971 cohort, England and Wales Social class Follow-up period 1976–81c + 1981c+–85 1986–91c + 1991c +–95 Employed Non-manual Manual 3361 4105 2518 3281 2178 3281 1642 2455 Unemployed Non-manual Manual 4689 5917 3980 4505 2500 6059 2889 4113 + 1981/91 refers to day before census day in the first time period and census day onwards in the following time period. Table 2 Relative risk of mortality 1986–95, of men aged 35–64 by employment status, in 1971 and 1981. 1971 cohort, England and Wales Employment status in 1971 and 1981 Relative risk Employed 1971 and 1981 Employed 1971, unemployed 1981 Employed 1981, unemployed 1971 Unemployed 1971 and 1981 1.00 1.63* 1.66* 2.63* * p<0.05. Table 3 Social class differentials adjusted for employment status among men aged 35–64: relative risk, 1986–95. 1971 cohort, England and Wales 1971† Employment status Social class I/II IIIN IIIM IV/V 1981** 1.32* 1.17* 1.00 1.01 1.42 1.64* 1.00 1.30* 1.28* 1.54* Social class and employment status differentials in mortality among women aged 16–59 at the 1981 census: relative risk, 1986–95. 1981 cohort, England and Wales Adjusted for age only Employment status^ Employed Unemployed Social class~ I/II IIIN IIIM IV/V * ^ ~ † Too few women were unemployed in 1971 (2 per cent) to allow a similar study of trends. In 1981, 4 per cent of women were unemployed and this increase allowed some examination of the influence of unemployment and social class on mortality of women. Women present at the 1981 Census, the 1981 cohort (Box One), aged 20–59 in 1986– 95, were classified by their employment status at the 1981 Census. Table 4 shows that mortality was 45 per cent higher among women who were unemployed than employed and after adjusting for class it was 32 per cent higher. Consistent class gradients were also evident before and after adjustment for employment status. Adjusted for employment status mortality of women in Social Class IV/V was 39 per cent higher than that of those in Social Class I/II. As with men, both employment and social class remained important predictors of the mortality of women. Mortality gives a limited measure of the prevalence of disease in a society and in the next section we examine social differentials in the level of morbidity from three main cancers. MONITORING SOCIO- ECONOMIC DIFFERENTIALS IN THE INCIDENCE OF AND SURVIVAL FROM BREAST, OVARIAN AND PROSTATE CANCERS * p<0.05. † Employment status and social class in 1971. ** Employment status and social class in 1981. Table 4 Table 1 shows that over the last two decades mortality was consistently higher among men in a manual than in a non-manual class regardless of employment status. In every time period, mortality was higher in each class grouping among those who were unemployed than those employed. Table 2 shows that men who were employed at both censuses had the lowest mortality and those who were unemployed at both censuses the highest. The higher mortality of the unemployed, however, could not explain class differences. Table 3 shows that for the most recent period of follow-up, 1986–95, large class differences persist after adjusting for employment status. Although unemployment increased between 1971 and 1981, those unemployed contributed less than 10 per cent of all deaths, so that though unemployment is an important predictor of mortality, it could not have been the main attributable factor for the trends in class differentials. Adjusted for social class and employment status† 1.00 1.45* 1.00 1.32* 1.00 1.05 1.34* 1.40* 1.00 1.05 1.32* 1.39* p<0.05. Own employment status. Based on own occupation, then partner’s. Women who were classified by both employment status and social class were included in this model. Office for National Statistics 8 Currently, there is a great emphasis on reducing deaths from cancers through prevention and secondary intervention strategies. Monitoring trends in social differentials in incidence and survival is important for the planning and provision of both preventative and curative services in public health, and also for aetiological reasons. In a longitudinal study, length of survival after the registration of a cancer can be measured.17 Survival rates are more accurate than death rates as differences in death rates may be biased by differences in the length of survival from diagnosis to death. In the ONS Longitudinal Study, the cause of death is known so that assumptions do not need to be made about whether death was from the primary tumour or another cause. In the following analyses, women present at the start of study in 1971 were followed up until 1990 for cancer incidence and until 1995 for survival. The difference in follow-up was because cancer registrations lag behind death registrations. Housing tenure at the start of study was used as a measure of socio-economic status; owner occupied housing being a more advantaged status than rented housing. Breast and ovarian cancers From earlier studies we know that breast cancer incidence was higher in women in a higher socio-economic status.18 This was still evident among older women (Table 5). At younger ages, however, the pattern of breast cancer incidence appeared to be changing. In 1986–90, there was little difference in incidence rates among those in owner occupied and rented housing. This was due to a larger rise in incidence among those in rented housing. Similar trends were seen with occupational social Health Statistics Quar terly 01 Table 5 Age in follow-up period Housing tenure Trends in socio-economic differentials in breast cancer incidence, by age 1976–90, incidence rates/ 100,000 persons and percentage change. 1971 cohort, England and Wales 1976–81c+ 1981c+–85 Percentage change 30–64 years Owner occupied Rented Rate ratio 572 543 0.95 508 378 0.74 -11 -30 65 and over Owner occupied Rented Rate ratio 860 792 0.92 869 597 0.87 -20 -25 1986–90 Percentage change 523 546 1.04 3 44 705 484 0.69 2 -19 Table 6 Housing tenure Owner occupied Rented Rate ratio Spring 1999 Trends in socio-economic differentials in ovarian cancer incidence among women aged 30 and over, 1976–90: incidence rates/100,000 persons and percentage change. 1971 cohort, England and Wales 1976–81c+ 1981c +–85 134 118 0.88 112 126 1.13 Percentage change -16 7 1986–90 Percentage change 131 86 0.66 + 1981 refers to day before census day in the first time period and census day onwards in the following time period. + 1981 refers to day before census day in the first time period and census day onwards in the following time period. Figure 4a Socio-economic differentials in survival from breast cancer among women by age at registration, 1971 cohort, England and Wales 30–64years 65 years and over Sur vival probability Survival probability Years of follow-up Figure 4b Years of follow-up Socio-economic differentials in survival from ovarian cancer among women by age at registration, 1971 cohort, England and Wales 65 years and over 30–64years Sur vival probability Survival probability Years of follow-up 17 -32 Years of follow-up 9 Office f or National Statistics Health Statistics Quar terl y 01 Spring 1999 class.19 Recent studies in the US have also shown a change in the direction of the class differential at younger ages.20 The aetiology of breast cancer is still largely unknown but such international trends support the influence of environmental factors. The change in childbearing patterns may have contributed to these changes. Later childbearing was established earlier among women in non-manual classes than among those in manual classes.21 Figure 4a shows survival from breast cancer at ages 30–64 and 65 and over at registration. In the younger age group, survival was poorer among those in rented compared with those in owner occupied housing. Median survival time was about 10 years among those in rented housing compared with about 14 years for those in owner occupied housing. From other work we know that although stage at presentation influences these survival differences, issues related to access to healthcare is the more important predictor.22 At ages 65 and over, differences in survival were not apparent. Among women aged 30 and over, the direction of the housing differential for ovarian cancer was not consistent over all three time periods (Table 6). In 1986–90, incidence was higher in women in owner occupied housing but in 1981–85, it was higher in tenants. This pattern was seen at both younger (30–64 years) and older ages (not shown). The striking feature of Figure 4b is the poor survival (under two years) from this cancer in both housing categories. At younger ages, survival was also significantly poorer among those in rented than in owner occupied housing. Prostate cancer Table 7 shows that the incidence of prostate cancer remained higher among men who were in owner occupied housing over the 20 years of follow-up period. This pattern was consistent by age (not shown). Among those aged 30–64 at registration, survival appeared poorer among those in rented than owner occupied housing but the difference was not statistically significant (Figure 5). Median survival time for those in owner occupied housing was about six years compared with four for those in rented housing. At older ages, there were no differences in survival, median survival being about three years for both those in rented housing and those in owner occupied housing. The prognosis of prostate cancer is good if detected early and the poor survival in both of these age groups highlights the need to both promote awareness of risks and to ensure equitable access to services. Figure 5 Table 7 Trends in socio-economic differentials in prostate cancer incidence among men aged 30 and over, 1976–90: incidence rates/100,000 persons and percentage change. 1971 cohort, England and Wales Age in 1976–81c+ follow-up period Housing tenure Owner occupied Rented Rate ratio 311 303 0.97 1981c+–85 Percentage change 1986–90 324 266 0.82 4 -12 332 277 0.83 MONITORING THE HEALTH OF SOCIALLY EXCLUDED GROUPS Children living in children’s homes, young men in places of detention and in psychiatric homes In a longitudinal study, the influence of factors in early life can be examined in relation to adult health and socio-economic status. Accumulation of factors over the life course has direct relevance to intervention strategies, which aim to arrest or reverse the impact of social deprivation. The following analyses illustrate the use of the Longitudinal Study in the examination of the impact of social exclusion on life chances.7 Children aged under 18 living in children’s homes, and men aged 15–29 years in places of detention and in psychiatric institutions, were identified at the 1971 Census and their subsequent social position and health over 25 years was examined. Their socio-economic position at subsequent censuses was measured using a range of indices. The health outcome measures used were death from any cause and the prevalence of a limiting long-term illness 20 years after the start of follow-up. 65 years and over 30–64years Sur vival probability Years of follow-up Office for National Statistics 10 2 4 + 1981 refers to day before census day in the first time period and census day onwards in the following time period. Socio-economic differentials in survival from prostate cancer among men by age at registration. 1971 cohort, England and Wales Survival probability Percentage change Years of follow-up Health Statistics Quar terly 01 Figure 6 Spring 1999 Children aged under 18 in homes, and men aged 15–29 in places of detention and in psychiatric institutions in 1971: socio-economic status in 1981 and 1991. 1971 cohort, England and Wales (a) Children, aged under 18 years, living in children’s homes in the 1971 Census Percentage 100 1981 80 1991 60 40 20 0 car access no car access NPH* non-manual manual unclassified manual unclassified All other children, aged under 18 years, in the 1971 Census Percentage 100 80 60 40 20 0 car access no car access NPH* non-manual (b) Men, aged 15–19, in places of detention in the 1971 Census Percentage 100 80 60 40 20 0 car access no car access non-manual manual unclassified employed unemployed employed unemployed Men, aged 15–29 years, living in psychiatric homes in the 1971 Census Percentage 100 80 60 40 20 0 car access Percentage no car access non-manual manual unclassified All other men, aged 15–29 years, in the 1971 Census 100 80 60 40 20 0 car access no car access * NPH refers to non-private households. non-manual manual employed 11 unemployed Office f or National Statistics Health Statistics Quar terl y 01 Spring 1999 The high loss to follow-up of these two groups, about a quarter, highlighted the difficulties in researching socially deprived groups. Among those who remained in the study, the picture was clear. Figure 6 shows that both of these groups moved into and remained at a lower socio-economic status than all other comparable study members. For example, 16 per cent of those who were in children’s homes in 1971 were in a non-manual class in 1981 and 38 per cent in 1991. This compared with 37 per cent and 56 per cent for all other children. Among young men who were in places of detention in 1971, 43 per cent were unemployed in 1981 and 38 per cent in 1991. This compared with 7 per cent and 6 per cent for all other LS members of the same ages. Table 8 shows that the risk of morbidity and of premature mortality among these groups was considerably higher than that of all others of comparable ages. Prevalence of a limiting long-term illness was more than three times higher; mortality risk more than twice among children in homes and men in places in detention, and men who were in psychiatric institutions, six times higher. Table 8 Health outcome Mortality Relative risk Teenage conception rates are higher in the UK than the rest of Western Europe and the findings from these studies imply that strategies to lower these rates are likely to bode well for teenagers and their children. MONITORING THE HEALTH OF CHILDREN BORN TO MIGRANTS – MORTALITY AND CANCER INCIDENCE AMONG CHILDREN BORN TO IRISH MIGRANTS There is a dearth of data on the health of migrants and their children. Studies have examined mortality patterns of first generation migrants living in England and Wales, and recently the emphasis has been on examining the influence of socio-economic status on these patterns.3, 8, 9, 28, 29 Over the last two decades, death rates of people born in Ireland and living in England and Wales have been higher than those of all people living in England and Wales. Their death rates were also higher than the rates of those remaining in Ireland.30 Some of this excess mortality was attributed to the selective migration of those who were disadvantaged in health and socio-economic circumstances. This study examined whether this mortality disadvantage persisted in the children born to Irish migrants (second generation Irish) and living in England and Wales.8, 9 Office for National Statistics 12 1.00 Children in homes All other men Men in detention Men in psychiatric institutions 15 85 172 7 93 42,173 26 74 147 27 73 95 2.50* 1.00 2.83* 6.10* * p<0.05. Family structure and social background of those who became teenage mothers Table 9 shows clear associations between indicators of both parental socio-economic position and family structure and the risk of becoming a teenage mother in the 1980s. Furthermore, by both indicators of socio-economic position, there were stepwise increases in becoming a teenage mother. Family structure was also an important predictor. Daughters of teenage mothers were more likely to become teenage mothers themselves. After adjustment for the associations between family structure and socio-economic position, absence of a normally resident father was no longer a statistically significant factor. All other children Limiting long-term illness Yes 4 No 96 All=100% 112,325 Table 9 Teenage conception rates have become the focus of recent policy initiatives on social exclusion and gender-related issues.23 Studies using other longitudinal data on teenagers in the 1960s and 1970s showed that lower parental socio-economic position, living in a lone parent family and coming from a larger family were associated with a higher risk of becoming a teenage mother. 24, 25 The Longitudinal Study allowed a detailed examination of the influence of these factors on teenage motherhood in the 1980s.26, 27 Women aged 15–19 years who had a birth between 1981 and 1990, were classified by their parental socioeconomic position and family structure at the 1981 Census. Children aged under 18 living in childrens’ homes, and men aged 15–29 in places of detention and psychiatric institutions in 1971: prevalence of limiting long-term illness at the 1981 Census, and mortality, 1971–95. 1971 cohort, England and Wales Relative risk of teenage motherhood, 1981–90, by indicators of socio-economic position and family circumstances in 1981. 1981 cohort, England and Wales Unadjusted Adjusted** Family social class I II IIIN IIIM IV V Unclassified 1.00 2.36* 3.59* 6.41* 7.10* 9.96* 9.16* 1.00 2.18* 2.91* 3.87* 3.88* 4.39* 4.16* Housing tenure Owner occupied Privately rented Local authority 1.00 1.64* 3.54* 1.00 1.44* 2.40* Age of mother 20 years and over Under 20 years 1.00 2.31* 1.00 1.52* Presence of normally resident father Yes 1.00 No 1.77* 1.00 1.16 Number of siblings None (lone child) One Two Three or more 1.00 0.94 1.30* 1.67* 1.00 0.69 1.15* 1.81* * p<0.05. ** Adjusted for all variables in table. Table 10 Mortality of second generation Irish: relative risk by age, 1971–95. 1971 cohort, England and Wales Age 15–44 45–64 65+ 15+ Women All other Second generation Irish 1.00 1.27* 1.00 1.07 1.00 1.12* 1.00 1.11* Men All other Second generation Irish 1.00 1.29* 1.00 1.16* 1.00 1.00 1.00 1.12* * p<0.05. + 1981/91 refers to day before census day in the first time period and census day onwards in the following time period. Health Statistics Quar terly 01 Table 11 ovarian cancer was not. Further studies are needed to understand why the incidence of ovarian cancer changed so dramatically between the two generations. Mortality of second generation Irish adjusted for indicators of socio-economic status: relative risk, 1971–95. 1971 cohort, England and Wales Women Men Model 1: Irish~ All other Second generation Irish 1.00 1.28* 1.00 1.21* Model 2: Housing tenure Owner occupied housing Privately rented Local authority 1.00 1.53* 1.31* 1.00 1.36* 1.26* Model 3: Social class Non-manual Manual Unclassified 1.00 1.48* 1.59* 1.00 1.20* 1.30 Model 4: Car access Access to 2 or more Access to 1 No access 1.00 1.26 1.72* 1.00 1.04 1.56* Model 5: Adjusted for all indicators, of socio-economic position Second generation Irish v other 1.12* 1.18* Poorer health in second generation Irish may be the result of the persisting effect of parental socio-economic disadvantage. Although socio-economic status was an important influence, being of Irish origin was an independent predictor of poorer health in these studies. Another longitudinal study of second and subsequent generation of Irish people living in Scotland showed similar findings.31 These studies demonstrate that differential health experience need not disappear rapidly following migration and can persist across several generations. SUMMARY Narrowing inequalities in health between social groups is one of the key aims of the Government Green Paper, Our Healthier Nation. 1 This report presents updated findings from a range of studies on health inequalities which are useful not only for public health monitoring purposes but also for aetiological reasons. Other work which has not been reported in this paper includes assessing the relative importance of personal disadvantage and area disadvantage on health inequalities, the contribution of social mobility to social gradients in health, and the relationship between the birthweights of babies and coronary heart disease mortality of their mothers. 32, 33, 34, 35, 36, 37 * p<0.05. ~ Excludes persons who could not be classified by all three indicators. The shift from describing to explaining patterns and trends in health differentials necessitates the collection of Longitudinal data. Longitudinal studies are expensive and the impact of a small sample size on the power of studies is always problematic. They can be used, however, to explore hypotheses that can then be tested in more suitable surveys. They are also not suitable for the study of rare diseases, but in terms of public health the study of common causes of death are of greater importance. The ONS Longitudinal Study, albeit based on 1 per cent of the population, has many advantages including a range of data from censuses on key social indicators, long follow-up and a very low level of loss to follow-up of its members. It remains one of the key tools for monitoring socio-economic differentials in health in England and Wales. Table 10 shows that mortality was higher among second generation Irish people compared with all other Longitudinal Study members. At ages 15 to 44, mortality was almost 30 per cent higher among both men and women. Table 11 shows that socio-economic status was an important predictor of their mortality experience; those who were less advantaged experienced higher mortality than those more advantaged. After adjusting for differences in the distributions of socio-economic circumstances, some, but not all, of the mortality excess was explained. In another study of cancers in this population, the incidence of all cancers including lung, ovarian and cervical cancers in women was shown to be higher than all other women (Table 12) and the incidence of prostate cancers in men higher than all other men (not shown).29 Socio-economic position was again clearly an important predictor of these patterns. Adjusting for socio-economic status did not explain the higher incidence of these cancers. The incidence of lung cancer was also higher in first generation Irish (not shown) but the incidence of Table 12 Spring 1999 Incidence of main cancers among second generation Irish women: relative risk, 1971–89. 1971 cohort, England and Wales Breast Lung Colorectal Ovary Cervix All cancers^ Model 1 Irish, adjusted for age Second generation Irish v. other women 1.15 1.62* 1.06 1.75* 1.84* 1.21* Model 2 Socio-economic status adjusted for age Owner occupier Local authority Privately rented 1.00 0.58 0.82 1.00 3.73* 1.70 1.00 2.68* 0.67 1.00 0.70 0.37 1.00 3.15* 1.85 1.00 1.30* 0.91 Model 3 Irish, adjusted for age and socio-economic status Socio-economic status Second generation Irish v. other women 0.92* 1.18 1.22* 1.60* 0.99 1.07 0.87* 1.74* 1.33* 1.86* 1.02 1.22* * p<0.05. ^ Exluding non-melanoma skin cancer (ICD9 140-208 x 173). 13 Office f or National Statistics Health Statistics Quar terl y 01 Spring 1999 REFERENCES Key findings 1 2 Updated results on key areas of health inequalities are presented using the most recent data in the Longitudinal Study. SOCIAL CLASS AND EMPLOYMENT DIFFERENTIALS IN 3 4 MORTALITY ● ● ● In 1990–95, life expectancy at birth of women in Social Class IV/V was 78 years and that of women in Social Class I/II was 81 years. The comparable figures for men were 71 and 76 years. Between the 1970s and 1990s, death rates declined among all groups but the fall was greater among those in Social Class I/II than among those in Social Class IV/V. In 1986–95, mortality of women and men who were unemployed remained higher compared with that of the employed. Mortality of unemployed women was 45 per cent higher than those employed. SOCIO- ECONOMIC DIFFERENTIALS IN INCIDENCE AND SURVIVAL FROM BREAST, OVARIAN AND OF 5 6 7 8 9 PROSTATE CANCERS ● ● ● At ages 65 and over, incidence of breast cancer remained higher among women in advantaged socioeconomic circumstances than in less advantaged ones. At younger ages, however, incidence was higher among the less advantaged and their survival was also poorer. In 1986–90, incidence of ovarian cancer was higher among those in advantaged socio-economic circumstances than among those in less advantaged ones. Survival from ovarian cancer was poor, about two years, regardless of socio-economic circumstances. Incidence of prostate cancer remained higher among more advantaged men. There were no significant differences in survival, under six years, between the social groups. LIFE ● ● ● CHANCES OF SOCIALLY EXCLUDED GROUPS Children living in children’s homes, and young men in prisons and in psychiatric institutions, were more likely to move into a disadvantaged socio-economic position compared with other people of comparable ages. Their risk of morbidity and premature mortality was also considerably higher. Having a teenage mother and disadvantaged socioeconomic circumstances were independent predictors for daughters becoming teenage mothers. HEALTH OF CHILDREN OF IRISH MIGRANTS LIVING ENGLAND AND WALES IN ● Mortality of children born to Irish migrants and living in England and Wales was higher than that of all other people living in England and Wales. The incidence of ovarian, cervical and lung cancers among women and prostate cancer among men was also higher. Office for National Statistics 14 10 11 12 13 14 15 16 17 18 19 20 21 Department of Health (1998). Our Healthier Nation: a contract for health. Consultation paper. The Stationery Office, London. Hattersley L (1997). ‘Expectation of life by social class’ in (ed) Drever F and Whitehead M, Health Inequalities, pp. 73–82. The Stationery Office, London. Harding S and Maxwell R (1997). ‘Differences in the mortality of migrants’ in (ed) Drever F and Whitehead M, Health Inequalities, pp. 108–21. The Stationery Office, London. Harding S, Bethune A, Maxwell R and Brown J (1997). ‘Mortality trends using the Longitudinal Study’ in (ed) Drever F and Whitehead M, Health Inequalities, pp. 143–55. The Stationery Office, London. Bethune A (1997). ‘Unemployment and mortality’ in (ed) Drever F and Whitehead M, Health Inequalities, pp. 156–67. The Stationery Office, London. Smith J and Harding S (1997). ‘Mortality of women and men using alternative social classifications’ in (ed) Drever F and Whitehead M, Health Inequalities, pp. 168–85. The Stationery Office, London. Harding S, Rosato M and Dunnell K (1998). ‘ONS Longitudinal Study’, Population Trends 93. The Stationery Office, London. Harding S and Balarajan R (1996). ‘Patterns of mortality in second generation Irish living in England and Wales: Longitudinal Study’. British Medical Journal: 312, pp. 1389–92. Harding S (1996). ‘The health of second generation Irish living in England and Wales’, in The health of the Irish in Britain, a community conference, pp. 11–20. Federation of Irish Societies, London. Hattersley L and Creeser R (1995). Longitudinal Study 1971–1991. History, organisation and quality of data, LS 7. The Stationery Office, London. Goldblatt P (1990). ‘Mortality and alternative social classifications’ in (ed) Goldblatt P, Longitudinal Study: mortality and social organistion, LS 6, pp. 164–92. HMSO, London. Fox J, Goldblatt P and Jones D (1990). ‘Social class mortality differentials: artifact, selection or life circumstances?’ in (ed) Goldblatt P, Longitudinal Study: mortality and social organistion, LS 6, pp. 100–108. HMSO, London. Kunst A and Mackenbach J (1994). ‘The size of mortality differences associated with educational level in nine industrialised countries’. American Journal of Public Health 84, pp. 932–7. Moser K, Goldblatt P, Fox J and Jones D (1990). ‘Unemployment and mortality’ in (ed) Goldblatt P, Longitudinal Study: mortality and social organistion, LS 6, pp. 82–97. HMSO, London. Bartley M (1994). ‘Unemployment and ill health: understanding the relationship’. Journal of Epidemiology and Community Health 48, pp. 333–7. Lewis G and Sloggett A (1998). ‘Suicide, deprivation, and unemployment: record linkage study’. British Medical Journal, 317, pp. 1283–6. Kogevinas E (1990). Longitudinal Study: socio-demographic differences in cancer survival, LS 5. HMSO, London. Leon D (1988). Longitudinal Study: Social distribution of cancer, LS 3. HMSO, London. Brown J, Harding S, Bethune A and Rosato M (1997). ‘Incidence of Health of the Nation cancers by social class’. Population Trends 90, pp. 40–47. The Stationery Office, London. Krieger N (1997). ‘Race, ethnicity, social class and incidence of cancer’. National Centre for Health Statistics 1997 Joint Meeting of the Public Health Conference on Records and Statistics and the Data Users’ Conference. Washington DC. Jones C (1992). ‘Fertility of the over thirties’. Population Trends 67, pp. 10–16. HMSO, London. Health Statistics Quar terly 01 22 23 24 25 26 27 28 29 Schrijvers C, Mackenbach J, Lutz J, Quinn M and Coleman M (1995). ‘Deprivation, stage at diagnosis and cancer survival’. International Journal of Cancer 63, pp. 324–9. The Times (10 November 1998). Ad urges children to report violent fathers. Government campaign will back women’s issues. Kiernan K (1980). ‘Teenage motherhood – associated factors and consequences – the experiences of a British birth cohort’. Journal of Biosocial Science 12, pp. 393–405. Manlove J (1997). ‘Early motherhood in an intergenerational perspective: the experiences of a British Cohort’. Journal of marriage and the family 59, pp. 263–79. Rosato M (1997). ‘Teenage fertility in England and Wales: trends in socio-economic circumstances between the 1971 and 1981 censuses’. Dissertation submitted in partial fulfillment of the requirements of the MSc in medical Demography, London School of Hygiene and Tropical Medicine. Botting B, Rosato M and Woods R (1998). ‘Teenage mothers and the health of their children’. Population Trends 93. The Stationary Office, London. Harding S, Davey Smith G, Chaturvedi N, Nazroo J and Williams R (1997). ‘Ethnicity and Health: epidemiological approaches’. Paper presented at conference ‘Making a difference for black and minority ethnic communities’ hosted by Health Education Authority/Kings Fund/Afiya/Policy Studies Institute, London. Harding S (1998). ‘The incidence of cancers among second generation Irish living in England and Wales’. British Journal of Cancer 78 (7), pp. 958–61. 30 31 32 33 34 35 36 37 Spring 1999 Wild S and McKeigue P (1997). ‘Cross sectional analysis of mortality by country of birth in England and Wales, 1970–92’. British Medical Journal 314, pp. 705–9. Abbott J, Williams R and Davey Smith G (1998). ‘Mortality in men of Irish Heritage in West Scotland’. Journal of Public Health 112, pp. 229–32. Sloggett A and Joshi H (1994). ‘Higher mortality in deprived areas: community or personal disadvantage?’ British Medical Journal 309, pp. 1470–74. Sloggett A and Joshi H (1998). ‘Deprivation Indicators as Predictors of Life Events, 1981–1992’. Journal of Epidemiology and Community Health 52 (4), pp. 228–33. Rosato M, Harding S, McVey E and Brown J (1998). ‘Research implications of improvements in access to the ONS Longitudinal Study’. Population Trends 91, pp. 35–42. The Stationery Office, London. Bartley M and Plewis I (1997). ‘Does health-selective mobility account for socio-economic differences in health? Evidence from England and Wales, 1971 to 1991’. Journal of Health and Social Behaviour 38, pp. 376–86. Gleave S, Bartley M and Wiggins R (1998). Limiting long-term illness: a question of where you live or who you are? LS Working Paper 77. Blane D, Harding S and Rosato M (1999). ‘Social class mobility and mortality among middle-aged men in England and Wales’. Journal of Royal Statistics Society A 162, Part 1, pp. 59–70. 15 Office f or National Statistics Health Statistics Quar terly 01 Spring 1999 Prescribing for patients with asthma by general practitioners in England and Wales 1994–96 Azeem Majeed and Kath Moser, ONS The objective of this study was to examine trends in the management of asthma in general practice, and in particular, to examine trends in the use of inhaled steroids and inhaled bronchodilators between 1994 and 1996. The data for the study came from 288 general practices, total list size 2.1 million, about 4 per cent of the population in England and Wales, on the General Practice Research Database. Between 1994 and 1996, the percentage of asthmatics being prescribed inhaled steroids, either alone or in combination with bronchodilators, increased in all age groups. The largest increase in the use of combination treatment was seen in children under five years of age.The use of bronchodilators alone in patients with asthma fell in all age groups but particularly in children. The results suggest that the management of asthma in primary care is changing, with an increase in the percentage of asthmatics who are being prescribed combination treatment with bronchodilators and either inhaled steroids or inhaled cromoglycate. Office for National Statistics INTRODUCTION Asthma remains an important cause of ill health. During the 1980s, both hospital admission rates and the number of deaths from asthma increased substantially. Admission rates for asthma increased from 1.1 to 1.6 per 1,000 between 1981 and 1985, an average annual increase of nearly 10 per cent. The rate of increase then slowed but there was still a further 1.7 per cent annual increase in admission rates during the second half of the 1980s. The annual number of deaths from asthma increased by 477 between 1980 and 1989, from 1,480 to 1,957.1,2 Consultation rates for asthma with general practitioners increased nearly fivefold between 1976 and 1994.3 These increases in morbidity and mortality occurred at a time when several effective treatments for asthma were available and when new delivery systems for anti-asthma medication were being introduced. Despite the availability of effective treatments, previous surveys have shown that many patients with asthma suffer from exacerbations of their condition, even in practices that take a special interest in asthma care.4 Many patients and doctors were over-reliant on bronchodilator medication (used to treat the symptoms of asthma) and were reluctant to use prophylactic medication such as inhaled steroids or inhaled cromoglycate (used to prevent attacks of asthma from occurring). Concerns about the growing morbidity from asthma led to the publication in 1990 of British Thoracic Society guidelines for the management of chronic asthma.5 These guidelines, which were revised in 1993 and 1997,6,7 emphasised the importance of using prophylactic medication such as inhaled steroids and cromoglycate in addition to inhaled bronchodilators to help reduce the morbidity caused by asthma. The impact of these guidelines on prescribing for asthma in general practice is difficult to assess because routine general practice prescribing data, derived from the Prescribing Analysis and Cost 16 Health Statistics Quar terly 01 (PACT) system, are only available at general practice level.8 The data that are available show that there has been a substantial increase in the use of bronchodilators and inhaled steroids by general practitioners since the early 1980s.1 However, PACT data cannot be used to examine the use of these drugs in different age groups. Furthermore, because many prescriptions for respiratory drugs are for chronic airways disease, routine prescribing data also cannot be used to examine trends in the management of asthma as it is not possible to separate prescribing for asthma from prescribing for chronic respiratory disorders. The objective of this study was to examine trends in the management of asthma in general practice, and in particular, to examine trends in the use of inhaled steroids and inhaled bronchodilators between 1994 and 1996, using data from the General Practice Research Database. Figure 1 Spring 1999 Treatment for asthma by age group and sex: rates per 1,000 in England and Wales, 1996 Treatment rate per 1,000 140 Males Females 120 100 80 METHODS The data for this study came from 288 general practices, total list size 2.1 million, in England and Wales contributing data to the United Kingdom General Practice Research Database. The General Practice Research Database (GPRD) was originally set up in 1987 by a commercial company, VAMP Ltd (now Reuters Health Information Ltd). It is currently owned by the Department of Health and has been managed by the Office for National Statistics (formerly the Office of Population Censuses and Surveys) since 1994. General practices participating in the GPRD follow agreed guidelines for the recording of clinical and prescribing data, and submit anonymised patient-based clinical records to the database at regular intervals. Consequently, the database contains longitudinal information on diagnoses, prescriptions and hospital referrals. The availability of these data offer opportunities for research on drug safety, the use of health services, and the epidemiology and natural history of many diseases. 9 The accuracy and comprehensiveness of the data recorded in the GPRD has been documented previously.10 All of the 288 practices included in this analysis contributed data throughout the period 1994–96 and passed regular quality checks. The combined population of the practices had a very similar age-sex composition to the population of England and Wales.11,12 For the most recent years for which prescribing data were available (1994–96), we identified all patients with a diagnosis of asthma who were being prescribed anti-asthmatic medication. These data were used to calculate the number of people currently receiving treatment for asthma per 1,000 population. We also calculated the percentage of patients being treated for asthma who were being treated with bronchodilators alone, inhaled corticosteroids or inhaled cromoglycate alone, or with both bronchodilators and prophylactic medication. Finally, we calculated prescribing rates for each of the 288 practices and examined the association between the prevalence of asthma and the use of combination treatment (defined as treatment with beta-2 agonists in combination with either inhaled steroids or inhaled cromoglycate). RESULTS In 1996, 6.6 per cent of males and 6.8 per cent of females were receiving treatment for asthma. Treatment rates were highest in boys aged 5–15 years (123 per 1,000), followed by girls aged 5–15 years and then boys aged 0–4 years. Among adults, treatment rates were highest in people aged 65 years and over. Among children, substantially more boys than girls were being treated for asthma. Among people aged 16–64 years, this pattern was reversed with a higher proportion of women than men receiving treatment. Among the elderly, treatment rates were similar in men and women (Figure 1). A greater percentage of the patients registered with the practices were receiving treatment for 60 40 20 0 0–4 5–15 16–24 25–44 Age group 45–64 65+ asthma in 1996 than in 1994 (6.6 per cent versus 6.3 per cent in males and 6.8 per cent versus 6.3 per cent in females). This increase was almost entirely confined to adults; treatment rates in children showed little change between 1994 and 1996. Between 1994 and 1996, the percentage of patients being treated for asthma who were prescribed bronchodilators in combination with either inhaled steroids or inhaled cromoglycate increased from 62 per cent to 65 per cent in males and from 64 per cent to 67 per cent in females. Most of the remaining patients were prescribed bronchodilators alone with less than 10 per cent of patients being prescribed prophylactic medication only (inhaled steroids or cromoglycate). This increase in the use of combination treatment was greatest in children under five years of age (58 per cent of boys treated with combination treatment in 1996 compared with 47 per cent in 1994 and 55 per cent of girls treated with combination treatment in 1996 compared with 44 per cent in 1994). However, despite this increase in young children, the use of combination treatment with bronchodilators and either inhaled steroids or cromoglycate in patients with a diagnosis of asthma remained highest in the elderly (Table 1). The use of bronchodilators alone in patients with asthma fell in all age groups, and particularly in children, but even in 1996, 28 per cent of males and 26 per cent of females receiving treatment for asthma were prescribed bronchodilators alone. Inter-practice variation The number of people undergoing treatment for asthma in 288 general practices in this study varied from 19 to 135 per 1,000 (Table 2). The percentage of patients with asthma being treated with bronchodilators alone varied from 5 per cent to 60 per cent and the percentage on inhaled corticosteroids alone varied from 0 per cent to 15 per cent. The percentage on inhaled steroids, either used alone or in combination with a bronchodilator, varied from 39 per cent to 95 per cent. The percentage on inhaled cromoglycate alone varied from 0 per cent to 5 per cent; 17 Office for National Statistics Health Statistics Quar terly 01 Table 1 Spring 1999 Percentage of patients prescribed treatment for asthma in 1994 and 1996 who were on combination treatment or who were prescribed bronchodilators, inhaled corticosteroids or inhaled cromoglycate alone Males Combination treatment (%) Bronchodilators alone (%) Corticosteroids alone (%) Cromoglycate alone (%) 1994 1996 1994 1996 1994 1996 1994 1996 0–4 5–15 16–24 25–44 45–64 65+ 46.8 62.3 53.0 56.8 70.7 75.5 57.8 63.8 56.6 59.0 71.8 77.3 50.1 30.4 42.5 36.1 20.9 17.9 37.0 28.5 38.6 33.9 19.7 15.9 2.1 5.1 3.7 5.8 7.4 6.2 4.4 6.3 4.2 6.5 7.8 6.6 0.8 1.9 0.8 1.2 0.8 0.2 0.6 1.2 0.5 0.6 0.6 0.2 All ages 61.8 64.7 31.5 28.3 5.3 6.2 1.1 0.7 Age group Females Combination treatment (%) Bronchodilators alone (%) Corticosteroids alone (%) Cromoglycate alone (%) 1994 1996 1994 1996 1994 1996 1994 1996 0–4 5–15 16–24 25–44 45–64 65+ 44.3 60.4 58.8 62.4 71.6 72.8 54.9 63.2 60.0 64.1 73.0 75.2 52.2 33.0 35.7 30.3 19.7 20.4 39.6 29.5 34.7 28.7 17.9 17.1 1.9 4.6 5.0 6.9 8.0 6.4 4.6 5.8 5.0 6.9 8.6 7.4 1.4 1.8 0.4 0.4 0.5 0.3 0.6 1.3 0.3 0.2 0.4 0.3 All ages 64.2 66.9 28.9 25.7 6.0 6.8 0.7 0.5 Age group Table 2 Inter-practice variation in prevalence of asthma and in percentage of patients receiving treatment for asthma who were on combination treatment or who were prescribed bronchodilators, inhaled corticosteroids or inhaled cromoglycate alone Mean (standard deviation) Prevalence per 1,000 Combination treatment (%) Bronchodilators alone (%) Inhaled corticosteroids alone (%) Steroids alone or in combination (%) Cromoglycate alone (%) 66.0 (16.3) 65.7 (6.4) 27.2 (6.8) 6.4 (3.0) 72.0 (6.9) 0.7 (0.8) Range 19.1 37.5 4.6 0.0 39.3 0.0 to to to to to to 134.9 95.1 59.8 15.3 95.1 4.9 20 per cent of the 288 practices prescribed no cromoglycate and a further 60 per cent prescribed cromoglycate for less than 1 per cent of their patients with asthma. The use of combination treatment with bronchodilators and either inhaled steroids or cromoglycate varied from 38 per cent to 95 per cent. There was a weak positive association between the prevalence of asthma and the use of combination treatment (correlation coefficient 0.21, 95 per cent confidence intervals 0.10 to 0.32). Hence, although practices with a higher prevalence of asthma tended to use more combination treatment, this association was not very strong, and explained only about 4 per cent of the variation in the use of combination treatment. DISCUSSION This study is among the largest to examine the management of asthma in primary care. We found that the management of asthma in primary care is changing, with an increase between 1994 and 1996 in the percentage of asthmatics who are being prescribed combination Office for National Statistics 18 treatment of bronchodilators and either inhaled steroids or inhaled cromoglycate. The use of inhaled corticosteroids alone also increased during the same period. Hence, it appears that general practitioners are changing their management of asthma to reflect the recommendations of the British Thoracic Society guidelines published in 1990 and revised in 1993. The introduction of these guidelines has coincided with a fall in death rates from asthma and a stabilisation in admission rates. Whether these changes are due in part to improved management of asthma in primary care (in particular, to greater use of inhaled steroids) is a question that cannot be answered by this study. The use of cromoglycate fell between 1994 and 1996, continuing a long-term decline in the use of this agent.13 Most practices now make little use of cromoglycate and now mainly use inhaled steroids for the prophylaxis of asthma. We found only a very weak association between the prevalence of asthma and the use of combination treatment. This implies that practices in which a high proportion of patients are being treated for asthma are not very much more likely to use combination treatment. Hence, the management of asthma appears to be one area of medical treatment where a higher number of patients being treated does not necessarily seem to result in a major improvement in prescribing. A major problem with studies of the epidemiology and management of asthma is the absence of an agreed case definition. This leads to problems comparing the results of different studies. 14 In previous epidemiological studies, three different methods have generally been used to diagnose asthma: a doctor’s diagnosis; the presence of symptoms of asthma; and the presence of bronchial hyper-reactivity. In this study, we defined asthmatic patients as those who had received a diagnosis of asthma from a doctor and who had in the previous 12 months been prescribed medication for the treatment of asthma. The main problem with using a doctor’s diagnosis to define asthma is that Health Statistics Quar terly 01 there is great variation between doctors in their propensity to diagnose asthma. The additional condition that the patients had to be on medication for the treatment of asthma to be classified as asthmatic was added to try to reduce the extent of this variation by ensuring only patients being actively treated were included in the study. Another disadvantage of using a medical diagnosis to define asthma is that some asthmatic patients will not have had their asthma diagnosed by a doctor. Hence, studies such as this which rely on a doctor's diagnosis, will include some patients who do not have asthma and exclude other patients who do have asthma. Finally, most previous studies of the epidemiology of asthma have focused almost entirely on children, hence it is really only possible to compare the results for children in this study with the results of previous studies. The prevalence of childhood asthma in this study was in line with those in an epidemiological overview of asthma published in 1994,16 providing some validation of our results. Key findings ● ● ● We were unable to investigate other aspects of asthma morbidity such as acute asthma attacks, attendance at accident and emergency departments, and referral to hospital outpatient departments.17,18 Investigating the association between such measures and prescribing for asthma in primary care will be an important area for future research. Finally, revised guidance on the management of asthma recommending earlier use of inhaled steroids, was issued by the British Thoracic Society in 1997 (Box One). Encouragingly, we found that over 70 per cent of asthmatic patients in primary care were being prescribed inhaled steroids in 1996, either alone or in combination with a bronchodilator. The further impact of the revised British Thoracic Society guidelines on prescribing in general practice will be examined in future analyses of data from the General Practice Research Database. ● ● Box one CURRENT BRITISH THORACIC SOCIETY GUIDELINES Spring 1999 In asthmatic patients, inhaled steroids are used to reduce the severity of symptoms and the risk of patients suffering from sudden attacks of asthma. British Thoracic Society guidelines published in 1990 and revised in 1993 recommended that greater use of inhaled steroids should be made in the management of asthma in general practice. In 1996, about 6.6 per cent of males and 6.8 per cent of females were receiving treatment for asthma. Treatment rates for asthma were highest in children aged 5–15 years. Among adults, rates were highest in people aged 65 years and over. Between 1994 and 1996, the percentage of patients being treated for asthma who were prescribed bronchodilators in combination with inhaled steroids and/or inhaled cromoglycate increased from 62 per cent to 65 per cent in males and from 64 per cent to 67 per cent in females. The increase was greatest in children under five years of age (58 per cent of boys treated with both in 1996 compared with 47 per cent in 1994 and 55 per cent of girls treated with both in 1996 compared with 44 per cent in 1994). Over 70 per cent of asthmatic patients are currently being prescribed inhaled steroids by their general practitioners. REFERENCES ON THE MANAGEMENT OF CHRONIC ASTHMA IN ADULTS AND SCHOOL CHILDREN PUBLISHED IN – GUIDANCE 1997 1 2 Step 1 Occasional use of bronchodilators Step 2 Regular use of inhaled anti-inflammatory agents (steroids) Step 3 High dose inhaled steroids or low dose inhaled steroids plus long acting bronchodilator Step 4 High dose inhaled steroids and regular bronchodilators 3 4 5 6 Step 5 Addition of regular steroid tablets 7 British Thoracic Guidelines published in 1990 and 1993 emphasised the importance of the regular use of inhaled steroids in patients with mild or moderate asthma. The most recent revision of these guidelines published in 1997 further emphasised the importance of the early use of inhaled steroids. A step-wise approach to treatment is recommended with the objective of abolishing the symptoms of asthma as quickly as possible. Once control is achieved, treatment can be stepped down. 8 9 10 11 Department of Health (1995). Asthma. An epidemiological overview. Department of Health, London. Majeed A and Kaur B (1998). ‘The changing nature of asthma’, in Hilton S and Levy M (eds), Asthma in practice. Royal College of General Practitioners, London. (Forthcoming in 1999.) Drever F (1994). ‘Asthma, the changing scene?’ Population Trends 78, pp. 44–6. Keeley D (1993). ‘How to achieve better outcome in treatment of asthma in general practice’. BMJ 307, pp. 1261–3. British Thoracic Society (1990). ‘Guidelines for management of asthma in adults: I chronic persistent asthma’. BMJ 301, pp. 651–3. British Thoracic Society (1993). ‘Guidelines on the management of asthma’. Thorax 48, pp. S1–24. British Thoracic Society (1997). ‘The British guidelines on asthma management. 1995 review and position statement’. Thorax 52, pp. S1–21. Majeed A, Evans N and Head P (1997). ‘What can PACT tell us about prescribing in general practice?’ BMJ 315, pp. 1515–9. Walley T and Mantgani A (1997). ‘The UK General Practice Research Database’. Lancet 350, pp. 1097–9. Hollowell J (1997). ‘The General Practice Research Database: quality of morbidity data’. Population Trends 87, pp. 36–40. Office for National Statistics (1998). Key Health Statistics from General Practice 1996 (Series MB6 No. 1). Office for National Statistics, London. 19 Office for National Statistics Health Statistics Quar terly 01 12 13 14 15 Spring 1999 Lawson D H, Sherman V and Hollowell J (1998). ‘The General Practice Research Database’. Quarterly Journal of Medicine 91, pp. 445–52. Warner J O (1995). ‘Review of prescribed treatment for children with asthma in 1990’. BMJ 311, pp. 663–6. Strachan D P (1995). ‘Epidemiology’, in Silverman A (ed), Childhood asthma and other wheezing disorders. Chapman and Hall, London. Speight A N, Lee D A and Hey E N (1983). ‘Underdiagnosis and undertreatment of asthma in childhood’. BMJ 286, pp. 1253–6. Office for National Statistics 20 16 17 18 Anderson H R, Esmail A, Hollowell J, Littlejohns P and Strachan D P (1994). ‘Lower respiratory disease’, in Stevens A and Raftery J (eds), Health care needs assessment. Radcliffe Medical Press, Oxford. Griffiths C, Sturdy P, Naish J, Omar R, Dolan S and Feder G (1997). ‘Hospital admissions for asthma in east London: associations with characteristics of local general practices, prescribing, and population’. BMJ 314, pp. 482–6. Shelley M, Croft P, Chapman S and Pantin C (1996). ‘Is the ratio of corticosteroid to bronchodilator a good indicator of the quality of asthma prescribing? Cross-sectional study linking prescribing data to data on admissions’. BMJ 312, pp. 1124–6. Death certification and the epidemiologist Tim Devis and Cleo Rooney, ONS The various processes by which deaths are certified and registered by doctors and coroners, are of considerable interest to the epidemiologist studying mortality trends and patterns. This paper describes and discusses these processes in England and Wales, some dating from the nineteenth century, and illustrates in particular the importance of accurately recording the causes of deaths. It also updates an earlier article on this subject1 and takes account of the many changes affecting registration and certification in recent years. I NTRODUCTION In England and Wales the modern system of birth and death registration has its origins in an act of parliament which came into force in 1837. 2 This provided the basis for a national registration system, directed by a General Register Office headed by the Registrar General. However, as originally presented to parliament in 1836 the Registration Bill did not include a provision to record the cause of death when a death was entered in the register. Following pressure from the reformer Edwin Chadwick and others for its inclusion, the Bill was amended and later passed with this requirement included. Chadwick’s interests extended beyond the legal and administrative advantages of a uniform system to the insight such information could give into social conditions and public health problems. As a result the Registrar General has been able to collect and publish mortality information by cause of death since the Act came into operation.3,4 The first Registrar General, Thomas Lister, was quick to enlist the co–operation of the medical profession in making the statements of cause of death as accurate as possible. At his invitation the heads of various medical colleges pledged themselves and their members to give an authentic name to the conditions leading to death, when completing the registration. Lister entrusted the work of analysing and developing these new data sources to his medical statistician William Farr, who in the next 40 years was outstanding in exploiting and expanding the use of the data, particularly in providing evidence of the effects of insanitary and unhealthy conditions. Farr was also a prime mover in securing recognition of the importance of scientific nomenclature and scientific classification in medical statistics, initiating a nosology which culminated in an internationally agreed classification of diseases, injuries and causes of death. The general 21 Office for National Statistics Health Statistics Quar terly 01 Spring 1999 arrangement of diseases by anatomical site was proposed by him in 1855, and has survived as the basis of the International Classification of Diseases (ICD), first adopted in 1900. The Ninth Revision of ICD 5 (ICD9) is currently used by ONS to classify causes of death. The Tenth Revision is already in use in several other countries, and will be introduced in 2001 in England and Wales. However, it was introduced for morbidity coding in the National Health Service in 1995. The subsequent Births and Deaths Registration Act of 1874, which made death registration compulsory, also placed a specific duty on the medical practitioner who attended the deceased during the last illness to provide a statement of the cause of death, unless there was an inquest – this act involved coroners for the first time. A further advance followed in the Birth and Death Registration Act 1926, which compelled medical practitioners to use a standard printed form for certifying the causes of death. Up to this time the form in use distinguished ‘primary’ and ‘secondary’ causes of death, often making it difficult to say which cause was a consequence of another. 6 From 1927 certifiers were required to give in sequential order the medical conditions leading to death, as discussed later in this paper. Another act of 1926 made provision for coroners to distinguish between post-mortem examinations which accompanied inquests and those where no inquest was held. The power to hold a post-mortem7 and then dispense with an inquest was also introduced. Statistics on this aspect of registration have thus been available only since 1928. More recently, the Registration Service Act of 1953 consolidated earlier provisions covering the organisation of the registration service, while the Births and Deaths Registration Act of the same year covered the registration of births, stillbirths and deaths. Two Population Statistics Acts, of 1938 and 1960, made provision inter alia for certain information to be collected in confidence and not entered in the public record; these details may be used by the Registrar General only for statistical purposes, and may not be released under any circumstances.8 For deaths, this information at present includes the marital status of the deceased, and the age of the surviving spouse (if any) of the deceased. RECENT DEVELOPMENTS Earlier this decade ONS (then the Office of Population Censuses and Surveys (OPCS)) carried out an extensive redevelopment of its collection and processing systems for population, health, and registration data – in particular, for births and deaths. For deaths this included: the progressive computerisation of registration in local offices; the move to a large deaths database to hold all mortality data from 1993; and the introduction of automated coding of cause of death.9 BIRTHS AND DEATHS REGISTRATION ACT 1953 (Form prescribed by Registration of Births and Deaths Regulations 1987) Registrar to enter No. of Death Entry MEDICAL CERTIFICATE OF CAUSE OF DEATH ………………… For use only by a Registered Medical Practitioner WHO HAS BEEN IN ATTENDANCE during the deceased’s last illness, and to be delivered by him forthwith to the Registrar of Births and Deaths. Name of deceased ............................................................................................................................................................................... Date of death as stated to me .................................................................. day of ............................... ............................... Age as stated to me .......... Place of death ..................................................................................................................................................................................... Last seen alive by me ............................................................................. day of ............................... ......................................... } { 1 The certified cause of death takes account of information obtained from post-mortem. 2 Information from post-mortem may be available later 3 Post mortem not being held. 4 I have reported this death to the Coroner for further action. (See overleaf) Please ring appropriate digit(s) and letter a b c CAUSE OF DEATH Seen after death by me. Seen after death by another medical practitioner but not by me Not seen after death by a medical practitioner. IM C E The condition thought to be the ‘Underlying Cause of Death’ should appear in the lowest completed line of Part I. N E These particulars not to be entered in death register Approximate interval between onset and death I (a)Disease or condition directly leading to death† ............................................................................................................................................................................................. ................................... (b)Other disease or condition, if any, leading to: I(a) ................................................................................................................................................................................................ ................................... (c) Other disease or condition, if any, leading to: I(b) ............................................................................................................................................................................................... ................................... II P S Other significant conditions CONTRIBUTING TO THE DEATH but not related to the disease or condition causing it ......................................................................................................................................................................................................... The death might have been due to or contributed to by the employment followed at some time by the deceased ................................... Please tick where applicable ✝ This does not mean the mode of dying, such as heart failure, asphyxia, asthenia, etc: it means the disease, injury, or complication which caused death. I hereby certify that I was in medical attendance during the above named deceased’s last illness, and that the particulars and cause of death above written are true to the best of my knowledge and belief. For deaths in hospital: Qualifications as registered Signature ....................................................................... by General Medical Council ........................................ Residence ................................................................................... Date .................................................................. Please give the name of the consultant responsible for the above- named as a patient ........................................................................................................................ Office for National Statistics 22 Health Statistics Quar terly 01 Box one GROUNDS FOR REFERRING A DEATH TO THE CORONER ONS encourages the prevailing practice of voluntar y referral to the coroner by the certifying doctor who should consider : • Whether the death was – an accident (whenever it occurred); – a suicide; – related to the deceased’s employment. • Whether the death occurred during or shortly after detention in police or prison custody. • Whether s/he or another doctor is legally qualified to certify the death. A registrar is legally obliged to refer a death to the coroner (unless it has already been reported) if it falls, or appears from the doctor’s death certificate to fall, into one of the following categories: • The deceased was not attended during his or her last illness by a doctor. • The registrar has been unable to obtain a duly completed death certificate, or else it appears that the deceased was not seen by the certifying doctor either after death or during the 14 days before death. • The cause of death appears to be unknown. • The registrar has reason to believe the death was unnatural, or caused by violence or neglect, or by abortion, or was in any way suspicious. • The death appears to have occurred during an operation or before recover y from the eff ect of an anaesthetic. • The death certificate suggests that death was due to industrial disease or industrial poisoning. Source: Letter to all doctors in England and Wales from the Deputy Chief Medical Statistician, ONS, dated l July l996. The main effect of these changes on registration practice has been in the way deaths have been handled by local registrars. When a death occurs, the attending doctor will usually complete a medical certificate of cause of death (MCCD) (see left) which is taken to the local registrar, who generally produces a draft of the details about the death. Until recently the registrar carried out the registration by filling out a form by hand, but this practice is now uncommon. With computerisation of the registration service the details from the MCCD, and other particulars supplied by the informant (or, if there was an inquest, by the coroner), are entered into a PC by the registrar. Draft details about the death are then printed automatically, and the information stored and sent weekly on floppy disk to ONS for processing. At present (November 1998) 97 per cent of death registrations are handled in computerised registration offices. Registrations in non– computerised offices are notified to ONS through paper drafts, from which information is keyed into the processing systems. Redevelopment in this area has meant that information about nearly all deaths can be handled more consistently and efficiently than before. Spring 1999 A new database was also introduced to store information on deaths. The information sent from registration offices is now loaded on to the database, and then processed and edited. Prior to 1993 ONS (then OPCS) produced an annual computer file containing details of all registrations in a particular year. In the new system there are in practice two deaths databases: one contains textual information corresponding to the public record – these are the details supplied by informants when registering a death, and to applicants requesting a copy of the death certificate – and the other is a statistical database, which contains only coded details of each death. Outputs are obtained by accessing the database to supply information, whether on individual deaths or as datasets to produce tabulations. Information on cause of death is held in coded form in the statistical database, and as text in the other (registration) database. Information sent to ONS includes causes of death, which are coded to ICD9, and an underlying cause, identified by the Automated Cause Coding system (ACCS). About 80 per cent of deaths are now coded this way. The cause coding of deaths certified after inquest is still carried out clerically to ensure consistent handling of these cases.10 The rules and procedures used in ACCS ensure more consistency than the clerical system, and have several advantages – improved consistency, better international comparability, and the automatic coding of all causes mentioned on most death certificates. A revised reporting form for coroners introduced in 1993 changed the data on deaths from injury and poisoning. Less specific detail about the nature of injury is now available for external cause deaths, compared with previous years.11 CERTIFICATION When a person dies the attending doctor completes the MCCD for the local registrar of births and deaths. The informant, often a relative of the deceased, delivers the doctor’s certificate when s/he goes to register the death. The majority of deaths are handled in this way, and unless the registrar considers it necessary to refer the case to the coroner – which is unusual as only 1 per cent are so referred – the death is registered without further ado. The registrar collects from the informant all the details for registration, except the cause of death. Other details required for statistical purposes are collected partly from the MCCD and partly from the informant. All these details appear in the draft entry prepared by the registrar, a copy of which is sent to ONS. The MCCD is in a form prescribed by law, 12 and should be completed only by a doctor who has been in attendance during the deceased’s last illness. Much of the epidemiological interest centres round the medical causes of death, and this part of the certificate is discussed below in more detail. Although the certifier gives the date and place of death, these details are entered in the register from the statement of the informant. Other information given by the certifier does not appear in the register, a copy of which is supplied to the informant, but is entered by the registrar for statistical use within ONS. Most of these residual statistical details, such as when the deceased was last seen alive, whether the body was seen after death by the certifier, whether death was related to employment, and duration of illness for each medical condition mentioned, are analysed in annual published tables. Of the remainder, information on whether or not a post-mortem has taken place, and whether the death has been reported to a coroner, is valuable in analysing the treatment of more unusual deaths, and is discussed below. In addition, Box B (on the rear of the MCCD) is used by the certifier to indicate that more information may be available later. 23 Office for National Statistics Health Statistics Quar terly 01 Spring 1999 Certification and registration of deaths in England and Wales Figure 1 All Deaths ➝ ➝ ➝ Originally certified by doctor on MCCD* Not properly certified and not referred to coroner No MCCD* – sent direct to coroner ➝ ➝ by doctor Yes ➝ No Deaths for which there was no doctor in attendance, such as sudden or unexpected or violent deaths, may be referred directly to the coroner by the police. At this point the coroner has a number of possible courses of action. Where he is satisfied that the death is due to natural causes and the cause is correctly certified, he will instruct the local registrar (on form 100A) to register the death, using the cause of death given on the original medical certificate. If this certificate was not completed in the first place, the registrar will use the cause of death stated by the coroner on form 100A. Alternatively, the coroner may order a post-mortem examination, particularly where the death was sudden and the cause unknown. If this shows unequivocally that the death was due to natural causes he may dispense with the requirement to hold an inquest. He will then certify the cause of death from the pathologist’s report on the post-mortem (form 100B). The registrar will use this certificate to register the death. Yes Referred to coroner? For some deaths the doctor may certify the cause and report the case to the coroner, or the registrar may report it. Deaths which should be referred to the coroner by the registrar are listed in Box One. by registrar ➝ ➝ ➝ ➝ Coroner not consulted Coroner orders No Not legally ➝ certified by post–mortem coroner and/or inquest? No Yes Yes ➝ ➝ ➝ ➝ ➝ Registrar Certified by coroner ➝ Certified by doctor Inquest with or without post– mortem Uncertified ➝ ➝ ➝ ➝ Post–mortem only Deaths by certifier, and by whether inquest and post-mortem carried out, England and Wales, 1879–1996 Certification Doctor with post-mortem without post-mortem Coroner Post-mortem only Inquest and post-mortem Inquest only } } Certified with post-mortem Uncertified Total Total deaths† * † ** If it appears that someone is to be charged with an offence in relation to the death, the coroner must adjourn the inquest until legal proceedings are completed. Since 1978 it has been possible to register these deaths at the time of adjournment, when the coroner issues form 120. This form includes details of injuries which led to the death, but no verdict. In the case of motor vehicle incidents, this will provide enough information to code the cause of death. Other deaths, such as possible homicides, are given a temporary code for underlying cause until final information becomes available.13 This is supplied by the coroner to the registrar on form 121. A very small proportion of deaths remains legally ‘uncertified’. ONS receives copies of at least one medical certificate of cause of death for * Medical certificate of cause of death. Table 1 ➝ If an inquest is necessary, the death can be registered only after the inquest. In nearly all cases the inquest follows a post-mortem by a pathologist. In most cases the inquest concludes the investigation and the death is then certified by the coroner (form 99(REV)). This provides the registrar with details of the deceased as well as the inquest findings as to cause of death. 1879 (%) 1928 (%) 1953 (%) 1963 (%) 1973 (%) 90 90 8 83 91 5 1 7 1987 (%) 1992 (%) 1996 (%) 9 77 86 10 73 83 6 72 78 2 74 76 2 76 77 * * 78 12 4 1 17 18 3 1 22 20 4 0 24 19 4 0 23 18 4 0 22 5 8 9 2 3 14 n/k 9 20 26 27 26 24 * 5 1 0 0 0 0 0 0 100 100 100 100 100 100 100 100 526,255 460,389 572,868 587,478 566,994 558,313 560,135 } 114,642 ** Doctor’s post-mortems for 1996 could not be separately identified with accuracy. Numbers of deaths are registrations in each year except 1996, which are occurrences. Deaths in second quarter of 1953. Source: RGs Annual Reports for years 1879 to 1973; Annual Reference Volumes in DH1 series for 1987 to 1996. Office for National Statistics 24 Health Statistics Quar terly 01 these cases, which are registered and coded as normal. This group includes deaths for which the doctor who completed the medical certificate did not fulfil all the legal requirements for doing so. For instance, the doctor was not in attendance on the deceased during the last illness and did not see the body, and the coroner did not order a post-mortem but issued form 100A. It also includes deaths of foreign military personnel (and their dependants) in England and Wales, where the certifying doctor was not a medical practitioner registered in England and Wales for the purpose of issuing certificates. A copy of the MCCD is shown on page 22, while copies of the coroner’s forms may be found at the back of any recent volume in the DH series, published by ONS. The processes of certification and registration in England and Wales are illustrated in Figure 1. Figure 2 Spring 1999 Deaths in 1996 by place of death and per cent certified by doctors and coroners, with or without inquest, in England and Wales Coroner with post-mortem Inquest Doctor Percentage 100 75 50 Table 1 shows the decreasing role of the doctor in death certification, and the increasing roles, particularly in tandem, of the coroner and pathologist who carry out post-mortems. These have been influenced on the one hand by changes in statutory responsibilities, e.g. 1926 Acts, and on the other by changing patterns in causes of death – for instance, a decline in deaths due to infectious diseases and a rise and fall in accidental deaths. Over the last three decades the pattern has stabilised, with coroners now certifying about one death in every four. The contribution of the pathologist is now mainly to coroners’ cases. DOCTORS Medical practitioners in England and Wales have been legally required to certify the cause of death for patients under their care since 1874. Current legislation requires that the doctor ‘shall sign a certificate in the prescribed form stating to the best of his/her knowledge and belief the cause of death’ for the death of any person attended during their last illness. The doctor is also required to deliver the certificate to the registrar. 14 The legal responsibility for referring deaths to the coroner rests with the registrar of births, marriages and deaths, rather than the doctor. In practice 96 per cent of deaths (in 1996) which involved both a doctor and coroner were referred by the doctor, 15 often before completing the MCCD. In fact, if the coroner accepts jurisdiction, the doctor may not complete a MCCD at all since the registrar must then use the coroner’s certificate to register the death. The Registrar General does not normally enforce completion of a redundant document in these cases. To be able to complete the MCCD a medical practitioner must, by law, be fully registered with the General Medical Council. House officers in hospitals who are only provisionally registered may complete MCCDs only for patients who die in hospital, and are under the care of a consultant who is also supervising their training. The consultant should supervise the certification, having a responsibility to see that it is done correctly and in accordance with the law. Since 1986 the name of the consultant responsible for care of the deceased, as well as that of the certifier, must be entered on the certificate for all deaths in hospital. Any further enquiries are addressed to the consultant, who is more likely to be still available in the same post than are junior staff. A high proportion of certificates are signed by doctors, normally without the benefit of post-mortem information. How experienced are these certifiers? Some insight into this may be gained from an analysis of doctor certified deaths by place of occurrence. The place where a death occurred must be recorded by the registrar, and is usually based on details supplied by the informant. In 1996, 54 per 25 0 Hospice All nonNHS hospitals Other communal establishments All NHS Own home Elsewhere hospitals Total number of deaths by place number 20,152 per cent 3.6 58,050 44,721 305,552 115,148 16,512 10.4 8.0 54.5 20.6 2.9 cent of deaths took place in NHS hospitals and places for the care of the sick, which includes NHS nursing homes, while 10 per cent were in similar communal establishments outside the NHS; 21 per cent occurred in the deceased’s own home, and 8 per cent in other communal establishments, which includes old people’s homes.16 Figure 2 shows the percentage of deaths occurring in each of these places which are certified by doctors, by coroners after post-mortem only, and after inquest. Nearly all deaths in hospices are certified by doctors, as would be expected in communal establishments which care specifically for patients known to be terminally ill. At the opposite extreme, deaths most likely to be certified by coroners are those which occur ‘elsewhere’. These include deaths at the scene of an accident as well as others outside the home or hospital. While 83 per cent of deaths in non–psychiatric hospitals are certified by doctors, the proportion of those in psychiatric hospitals is 90 per cent. Deaths in general hospitals will include some caused by accidents or violence where death is not immediate. Of the 560 thousand deaths in 1996, 436 thousand were certified by doctors rather than by coroners. Sixty two per cent of these occurred in hospitals (270 thousand). Thus almost one half of all deaths are registered by hospital doctors – who are mostly junior. CORONERS Coroners date from 1194, when they were created to fill the need for an official whose main duty was to protect the financial interest of the Crown in criminal proceedings.17 This official was elected as a ‘keeper of the pleas of the Crown’ or custos placitorum coronas, from which the present name derives. 18 Over time the duties changed, so that by 1500 the main function performed by the coroner was the holding of inquests into violent deaths. The 1887 Coroners Act established that coroners were concerned not so much with safeguarding financial 25 Office for National Statistics Health Statistics Quar terly 01 Spring 1999 Table 2 Box two DEATHS REFERRED FOR FURTHER INVESTIGATION IN S COTLAND AND NORTHERN IRELAND Deaths referred to coroners by source of referral, England and Wales, 1987 to 1996 Source of referral 1987 (%) 1992 (%) 1996 (%) Formally referred In both Scotland and Northern Ireland the procedures for certifying and registering most deaths are similar to those in England and Wales. However, in Scotland the registrar of deaths is obliged to report to the procurator fiscal any death which falls into a broad range of some 20 categories. Deaths may also be reported to the procurator fiscal by the police or by attending doctors. When a death has been referred to him, the fiscal must decide whether any further enquiry is necessary, for instance whether to request an autopsy. The death meanwhile will have been registered in the normal way, and the information passed to the General Register Office for Scotland (GRO(S)), where it will be used to code the cause of death. The procurator fiscal is responsible for prosecution of criminal offences in his district, as well as for investigating any sudden, violent, suspicious or accidental death, or death from an unknown cause, which is reported to him. 25 The main aim for the fiscal is to establish whether or not there has been any criminality or possible negligence involved in a death. In such cases he must repor t the results of his investigation to the Crown Office. There a decision is made as to whether criminal proceedings are to be instituted, or a public enquiry held, or no further action taken. He is not obliged to establish the precise cause of death in a medical sense, once the possibility of criminal proceedings has been ruled out. His enquiries are conducted informally and in private. When the procurator fiscal has completed his examination of the case he informs GRO(S) of any changes to the information originally recorded on the death certificate, including clarification of the cause of death. GRO(S) will amend their records accordingly and, if necessary, change the code assigned to the death. In 1996 registrars notified procurators fiscal of the particulars of 12,516 deaths where the circumstances indicated that the fiscal might wish to enquire into the cause of death. 26 The number notified constituted 21 per cent of all deaths. In 1,443 (12 per cent) of these cases, reports were subsequently received from the procurators fiscal, of which 1,264 (10 per cent) warranted amendments to the particulars given in the relevant death entries. There is no equivalent to the inquest in Scotland, but there are a small number of fatal accident enquiries, covering usually less than 100 deaths annually. In Nor thern Ireland cases are referred to a coroner in much the same way as in England and Wales, although the list of formal grounds for referral is more general than in Scotland or England and Wales, including for example deaths ‘as a result of violence or misadventure, or by unfair means’. Referrals to a coroner in Northern Ireland are relatively less common – 2,799 deaths were referred in 1996 (18 per cent of all deaths). For 1,047 of these deaths the coroner indicated that there was no reason to dispute the certified cause of death, and for a further 1,268 the coroner stated that a post-mortem had been carried out but, again, there was no reason to dispute the certified cause. Inquests were conducted on the remaining 484 deaths in that year. Office for National Statistics 26 Doctor Registrar 17 1 19 1 24 1 11 72 0 8 72 0 5 70 0 100 100 100 566,994 558,313 560,135 Not formally referred Certified by coroner, not referred Certified by doctor, not referred Uncertified and not referred Number of deaths Source: ARV DH1 1987 (table 9), 1992 (table 9), 1996 (table 21). interests, but in providing a service for the investigation of both the cause of and the circumstances surrounding deaths. Thereafter the coroner’s interest in medical causes of death grew with the need for more precise information on mortality. A later act, of 1926, empowered the coroner to order an autopsy without having to proceed to an inquest, and to adjourn inquests where someone had been charged with an offence related to the death.19 A review of the law and practice on medical certificates of cause of death, and of coronial practice and the reporting of deaths to coroners, produced some wide ranging recommendations in 1971 20 but few of these have been brought into operation, although a recent act consolidated other changes in the intervening years. 21 Comparable procedures for reporting deaths requiring further investigation for Scotland and for Northern Ireland are shown in Box Two. The main duty of a coroner is to enquire into certain deaths occurring in his district. 22 His only other significant function is to conduct inquests into treasure trove. Each coroner is appointed by a local authority, such as a county council, metropolitan district or London borough.23 A coroner will be either an experienced barrister or solicitor, or a legally qualified medical practitioner of at least five years’ standing. 24 Although there are formal requirements for referral to coroners, doctors are also encouraged to seek informal advice from coroners in cases where there is some doubt about the need to refer. There are no reliable statistics on the number of informal referrals. In 1996, 30 per cent of deaths were formally referred to coroners, of which nearly all were from doctors (Table 2). The legal responsibility for referral which is placed on registrars is usually only a backstop, generating about 4 per cent of all referrals. A further 18 per cent come from other sources, such as the police. Referrals by the doctor have increased since 1987, from 60 per cent of referrals to 80 per cent in 1996. In many cases, referral to a coroner does not mean that he will certify the death (Table 3). For 27 per cent of formal referrals in 1996 the coroner saw no need to conduct any further investigation, and accepted the cause of death given by the attending doctor. The proportion so accepted has nearly doubled in recent years. The remaining 73 per cent of referred deaths almost always involved a post-mortem investigation. Post-mortems may be carried out by pathologists for coroner enquiries, or to assist doctors in certifying cause of death. Most (93 per cent in 1992) are for coroners – see Table 4. The remainder form only 1 in 50 of all deaths certified by doctors; figures later than 1992 are not available at present. Health Statistics Quar terly 01 Doctors can certify deaths only where they know the cause. They can request a post-mortem with the next of kin’s consent. Figure 3 shows that in 1992 post-mortems for deaths certified by doctors were most common for infant deaths. I NVESTIGATION OF CAUSE OF DEATH BY POST-MORTEM AND INQUEST The proportion of deaths certified by doctors which have been subject to autopsy has been extremely low for many years (Table 4). This may be explained in part by higher levels of diagnostic certainty related to modern ante–mortem investigative techniques. At the same time this means that there is decreasing pathological audit of the validity of clinical death certification. A recent study of certificates completed by various grades of hospital clinicians, GPs and pathologists found that senior hospital doctors make more errors than their juniors, while GPs and pathologists make fewest errors.27 This agreed with other studies showing that inaccuracies in death certification arise from inadequate formulation of cause of death and failure to record relevant information. Table 3 Spring 1999 Coroners certify nearly a quarter of all deaths in England and Wales but most of these cases involve neither an inquest nor any suspicion of violence. They are referred to the coroner because they were sudden and unexpected, because there was no doctor in attendance during the deceased’s last illness, or because the doctor who did attend is not available to give a certificate – for example, the patient’s general practitioner may be on holiday and s/he has not consulted another doctor. In these circumstances, if post-mortem examination establishes a clear natural cause of death the coroner need not hold an inquest. S/he Deaths referred to a coroner, and subsequent action, England and Wales, 1987 to 1996 Total deaths Certification and action after referral 1987 (%) 1992 (%) Referred deaths 1996 (%) 1987 (%) 1992 (%) 18 4 71 14 0 67 13 0 1996 (%) Referred to coroner Certified by coroner No inquest, with post-mortem Inquest, with post-mortem Inquest, without post-mortem Certified by doctor Total referred to coroner Not referred to coroner Number of deaths 20 4 0 19 4 0 4 6 8 15 20 27 28 28 30 100 100 100 72 100 72 100 70 100 566,994 558,313 569,683 158,463 156,899 169,944 } } 61 12 Source: ARV DH1 1987 (table 9), 1992 (table 9), 1996 (table 21). Table 4 Certification of deaths by whether post-mortem carried out, England and Wales, 1987 and 1992 1987 Certification Total deaths (%) By doctor, with post-mortem By coroner, with post-mortem Certified with post-mortem 2 24 26 By doctor, without post-mortem Total certified 74 Other (uncertified) Total deaths Number of deaths Deaths with postmortem (%) 9 91 100 1992 Deaths certified by doctors (%) Total deaths (%) 3 2 22 24 97 100 76 0 0 100 100 566,994 148,643 431,783 558,313 Deaths with postmortem (%) Deaths certified by doctors (%) 7 93 100 2 98 100 134,826 432,212 Source: ARV DH1 1987 (table 9) and 1992 (table 9). 27 Office for National Statistics Health Statistics Quar terly 01 Figure 3 Spring 1999 Percentage of deaths by underlying cause which are certified by doctors with post-mortem examination, England and Wales, 1987 and 1992 ICD9 cause chapter Deaths in 1992 I Infectious and parasitic diseases (2,091) II Neoplasms III Endocrine, nutritional and metabolic diseases, and immunity disorders 1992 IV (137,822) 1987 (9,797) Diseases of the blood-forming organs (2,244) V Mental disorders (12,103) VI Diseases of the nervous system and sense organs (10,267) VII Diseases of the circulatory system (176,414) VIII Diseases of the respiratory system (51,037) IX Diseases of the digestive system (11,903) X Diseases of the genitourinary system (4,460) XI Complications of pregnancy, childbirth and the puerperium XIl Diseases of the skin and subcutaneous tissue XIlI Diseases of the musculoskeletal system and connective tissue (829) (4,077) XIV Congenital anomalies XV (1,019) Certain conditions originating in the perinatal period (225) XVI Symptoms, signs and ill-defined conditions (4,341) EXVIl External causes of injury and poisoning All deaths (14) (881) (432,212) 0 10 20 30 Percentage of deaths certified by doctors, with post-mortem Source: ARV DH1 1987 (table 10), 1992 (table 10). may certify the cause of death based on the pathologist’s post-mortem findings. About 40 per cent of deaths from ischaemic heart disease, which may occur suddenly in people without previous symptoms, are certified by coroners in this way (Figure 4). In contrast only about 5 per cent of cancer deaths, where the course of the disease is often long and diagnosis is usually confirmed by biopsy or other tests before death, are certified by coroners. Only 2 per cent of cancer deaths are subject to inquest, usually to investigate possible industrial causes. The causes of death which are most often certified after post-mortem and/or by coroners reflect the necessity for investigation for legal reasons or because the cause is unknown (Figure 4). Thus, 90 per cent of deaths from external causes in 1996 were subject to post-mortem and inquest before certification by coroners. Virtually the only exceptions were deaths due to falls and fractures, mainly of the elderly (60 per cent with coroners inquest, 9 per cent with coroners post-mortem only and 31 per cent by doctors). In contrast, only 10 per cent of deaths due to mental disorders (largely senile dementia) have had post-mortems. This partly reflects the long course of such illnesses, but also what causes can be found at autopsy. Office for National Statistics 28 Thus, though other research has shown that in 90 per cent of deaths from suicide a history of mental illness can be established,28 only 12 per cent of suicide certificates in 1996 mentioned mental disorders. All these suicide deaths are subject to post-mortem as well as inquest. Pathologists carrying out post-mortems for coroners may not have access to any information on the medical history of the deceased.29 Any history they are given is more likely to come from the police than a doctor. The primary purpose of such examinations is legal – to rule out accidents, violence or unnatural causes. It is not to test the validity of clinical diagnosis nor to produce accurate statistics of causes of death. The proportion of deaths due to signs, symptoms and ill defined causes (ICD9 chapter XVI 780–779) which are certified by coroners has fallen considerably since 1987 (see Figure 4). Instructions in books of certificates were changed in 1986 and now state that ‘in deaths in the elderly when no specific condition is identified as the patient gradually deteriorates and dies, “old age” or “senility” is acceptable as the sole cause of death for persons aged 70 and over’. The number of deaths certified as due to ‘old age’ (ICD9 797) has risen steadily since 1986 to more than 8,500 in 1996. Most of these are at ages over 85, and are Health Statistics Quar terly 01 Figure 4 Spring 1999 Percentage of deaths by underlying cause which are certified by coroners with post-mortem examination, England and Wales, 1987, 1992 and 1996 ICD9 cause chapter Deaths in 1996 I Infectious and parasitic diseases II Neoplasms III Endocrine, nutritional and metabolic diseases, and immunity disorders (7,502) 1992 Diseases of the blood-forming organs (1,986) 1987 V Mental disorders (9,296) VI Diseases of the nervous system and sense organs (9,772) IV (3,636) (139,459) VII Diseases of the circulatory system (237,669) VIII Diseases of the respiratory system (88,630) IX Diseases of the digestive system (19,846) X Diseases of the genitourinary system (6,752) XI Complications of pregnancy, childbirth and the puerperium (41) XIl Diseases of the skin and subcutaneous tissue (1,075) XIlI Diseases of the musculoskeletal system and connective tissue (3,517) XIV Congenital anomalies XV Certain conditions originating in the perinatal period (1,227) (149) XVI Symptoms, signs and ill-defined conditions (10,772) EXVIl External causes of injury and poisoning (16,061) All deaths 1996 (560,135) 0 20 Source: ARV DH1 1987 (table 10), 1992 (table 10), 1996 (table 22). certified by doctors without post-mortem. Nearly all deaths from other causes in this ICD chapter, such as sudden infant death syndrome (SIDS), or sudden adult death, or where no cause could be ascertained, are still certified by coroners. Only in the case of SIDS are these deaths usually certified without holding an inquest in addition to post-mortem.30 The type of death referred to a coroner may alter over time with a changing perception of what is natural or unnatural, and with whether some legal responsibility for the death may fall on a third party. For instance, deaths from Creutzfeldt-Jakob disease (CJD) were rarely certified by coroners before 1990 unless there was a history of treatment with hormones derived from pooled human pituitaries. However, in the past few years CJD deaths have been increasingly subject to inquest, which may lead to long delays in their registration.31 All such cases should have been referred to the United Kingdom CJD surveillance unit in Edinburgh, usually before death, irrespective of how the death is eventually certified and registered. Up-to-date figures on presumed and confirmed cases and deaths from sporadic, iatrogenic and new-variant CJD are now available from the UK CJD surveillance unit. 40 60 80 100 Percentage of deaths certified by coroner SELECTING THE UNDERLYING CAUSE OF DEATH Mortality statistics, including those referred to above, are usually based on a single cause per death. This is the ‘underlying cause of death’, defined by the World Health Organisation (WHO) as ‘(a) the disease or injury which initiated the train of events directly leading to death, or (b) the circumstances of the accident or violence which produced the fatal injury’.32 This is generally the most useful single cause for public health purposes. The medical certificate of cause of death in England and Wales has been in the format recommended by WHO since 1927. In part I, which has three lines, the certifier is asked to state the conditions leading directly to death, starting with the immediate cause on line Ia and going back through the sequence on subsequent lines. Part II is for other conditions which contributed to the death but were not part of the direct causal sequence.33 If the death certificate has been properly completed, with only one condition on each line, and the conditions in part I forming an acceptable sequence, the general rule can normally be used to select the condition entered in the lowest completed line of part I as the underlying cause (UCD). 29 Office for National Statistics Health Statistics Quar terly 01 Table 5 Spring 1999 Deaths by type of certificate, number of causes per line, and determination of underlying cause, England and Wales, 1986 and 1996 Type of certificate Percentage of total deaths Percentage where underlying cause is derived by general rule Simple certificate (one cause per line) Line Ia only Lines Ia and II Lines Ia and Ib Lines Ia, Ib and II Lines Ia, Ib and Ic Lines Ia, Ib, Ic and II Complex certificate (more than one cause on at least one of the lines) Total 1986 1996 1986 1996 20 9 32 8 8 2 25 10 28 10 6 2 100 54 74 62 56 51 100 91 77 72 56 57 22 20 n/k n/k 100 100 Source: 1986 figures from Ashley and Devis paper, table 7; 1996 figures from unpublished tables. If the death certificate has not been completed correctly, it becomes necessary to apply one or more of the three selection rules in the Ninth Revision of the International Classification of Diseases (ICD9).34 In addition, there are nine modification rules which apply to particular conditions, combinations or circumstances. For example, two or more mentioned conditions may be linked to derive a composite underlying cause, so that renal failure (ICD9 code 586) due to hypertension (401) becomes hypertensive renal disease (403). Later stages of the same disease process are preferred to earlier ones – acute myocardial infarction (410) rather than ischaemic heart disease (414); and trivial or ill defined conditions, or senility, may be ignored when this allows the coder to select a more specific or lethal condition. The purpose of these rules is to derive the most useful information from the death certificate, even when it has been badly completed, and to do this uniformly so that data will be comparable between places and times. Table 5 shows clearly that the proportion of deaths for which the underlying cause was selected using the general rule is higher in 1996 than it was in 1986 – that is, ONS is now following international practice more closely, and overturning the opinion of the certifier less often than ten years ago. The greatest increase, in both relative and absolute terms, in the use of the general rule is on certificates which have only a single condition in part I on line a, and one or more conditions in part II. This probably reflects changes in the application of ICD9 rule 3 over time. Table 6 ICD9 Rule 3 Rule 3 as published by WHO states that ‘if the condition selected by the general rule, or rules 1 or 2, can be considered a direct sequel of another reported condition, whether in part I or part II, select this primary condition. . .’35 For example, if the certifier has written ‘renal failure due to obstructive uropathy’ in part I and ‘benign prostatic hypertrophy (BPH)’ in part II, the coder would assume the BPH to be the condition which initiated the sequence leading to the renal failure. In 1984 OPCS introduced a much broader interpretation of rule 3. This happened because an increasing proportion of certificates were noted to have in part I only a condition which was considered likely to be the terminal event in a person made immobile, disabled or ill by other conditions present for a longer time, which the certifier placed in part II. In particular, there had been very large increases in the proportion of deaths ascribed to bronchopneumonia, especially in the elderly. The 11 conditions considered terminal included pneumonia (of any type), pulmonary embolism, venous thrombosis and embolism, cardiac or hepatic failure, and cardiac arrest.36 In the broader OPCS interpretation of 1984, when any of these conditions would have been the underlying cause, and any other major condition was recorded in part II, rule 3 was to be used to select that major condition. No evidence for an aetiolgical or pathological sequence was required: the presumption was simply that these 11 conditions could be the ‘terminal event’ in any disease process. This meant, for instance, that schizophrenia or rheumatoid arthritis in part II could be selected as the underlying cause of renal failure or pneumonia in part I. This change led to an abrupt fall in deaths ascribed to pneumonia and the ten other less common conditions regarded as terminal, and a corresponding apparent rise in deaths from many predominantly chronic conditions, including mental disorders. Deaths registered in 1984 were independently coded according to both the old international, and the OPCS only rules. The results of this bridge coding were compared to calculate conversion ratios for every cause affected, so that time trends could be interpreted across the change. The broader interpretation of rule 3 continued for all deaths registered in England and Wales from 1984 until the automated system for coding cause of death (ACCS) was introduced in OPCS in 1993.37 This incorporates software developed in the USA, and so applies the American interpretation of the WHO rules – which are probably closer to those used internationally. A description of the effects of moving back to the internationally accepted interpretation of rule 3 has been published by ONS.38 Multiple cause of death data, England and Wales, 1986 and 1996 1996 deaths ICD9 code Medical condition 162 174 250 290 295 410 428 436 485 785 malignant neoplasm of lung malignant neoplasm of female breast diabetes organic psychoses schizophrenia acute myocardial infarction heart failure acute cerebrovascular disease bronchopneumonia cardiovascular symptoms Source: ARV DH2 1985; unpublished 1996 data. Office for National Statistics 30 Underlying cause Mentioned causes 30,810 12,179 5,994 6,592 36 68,356 9,753 39,273 45,644 40 32,807 15,084 23,682 15,191 534 73,852 73,748 52,279 99,115 6,121 1986 deaths Mentions/underlying cause 1.06 1.24 3.95 2.30 14.8 1.08 7.56 1.33 2.17 153 Mentions/underlying cause 1.05 1.15 2.90 1.60 3.07 1.07 13.5 1.20 5.34 169 Health Statistics Quar terly 01 MULTIPLE CAUSES OF DEATH Multiple cause data, in which all the conditions mentioned by the certifier are coded, are available for 1985 and 1986 and all years since 1993. The data can be used to elucidate the effects of changes in selecting the underlying cause of death (UCD) on routine mortality statistics. Analyses of multiple cause data help to show the contribution of particular diseases in the death process, as well as allowing some measurement of associations between diseases. Table 6 shows that some conditions are nearly always selected as the underlying cause of death whenever they appear on the certificate. These include major cancers and acute cardiovascular events, including myocardial infarction and stroke. In contrast, there are nearly four times as many deaths with diabetes mentioned as have it selected as the underlying cause. Symptoms, signs and ill defined conditions such as cardiorespiratory arrest are often given as the immediate cause, but hardly ever selected as the underlying cause, unless there is no other choice. The ratio of mentions to UCD gives an indication of how much the UCD statistics could be inflated by changes in the selection rules. There is comparatively little scope for artefactual increases in rates of death from acute myocardial infarction, which is nearly always selected as the underlying cause of death whenever it appears. The same is true of malignant neoplasm of the lung. This largely reflects the views of certifiers that these conditions are directly lethal. The ratio of mentions to UCD is a little higher for breast cancer, reflecting the better survival, so that this condition may appear in part II of the certificate in elderly women dying of other conditions. Much higher ratios are seen in conditions such as heart failure, which may be caused by a variety of pathologies; diabetes, which may be placed in part II when it complicates treatment of other conditions and so compromises survival; chronic degenerative conditions such as organic psychoses (these deaths are mostly senile dementia), which certifiers appear not to regard as lethal; terminal conditions such as bronchopneumonia; and ill defined descriptions of symptoms and signs. Changes in the proportion of any of these conditions selected from the large pool of ‘mentions’ can have very large effects on their apparent underlying cause mortality rates. Differences in the ratios of mentions to underlying cause between the mid–1980s and the 1990s shed further light on the changes in UCD selection when automated coding was introduced in 1993. The higher ratio of mentions/UCD for diabetes and organic psychoses in the 1990s shows that the reversion to the international interpretation of rule 3 has made selection of these conditions as the underlying cause less likely now. In contrast, bronchopneumonia is two and a half times as likely to be selected as UCD now as it was ten years ago. Heart failure and cardiovascular symptoms are also more likely to be selected now. ENQUIRIES As noted above, the conditions mentioned on the death certificate are used to derive an underlying cause of death. However, in some cases more information on causes of death may become available later, such that the underlying cause may be subsequently amended. At present, the ways in which this may happen are: • • • by the certifying doctor indicating on the front of the medical certificate that information from a post-mortem may be available later; by the certifying doctor indicating on the back of the MCCD (in Box B) that more information may be available later (for example, results of bacteriology tests taken before death); by coroners certifying deaths after post-mortem but without • • Spring 1999 inquest, indicating that results of histology or bacteriology tests may be available later; following an inquest, the second page of the coroners certificate – which provides details of how a fatal accident occurred – is posted to ONS by the registrar, and may arrive later than the electronic registration; where an inquest has been adjourned and an accelerated registration carried out, the coroner may later provide a final underlying cause and verdict. In the first three instances, the registrar is obliged to send a request for this further information at the same time as registering the death. In the last two instances, the deaths processing branch in ONS may send an enquiry if the expected information has not arrived after a suitable interval. In 1996 there were some 14 thousand deaths where Box B on the MCCD was ticked, and from subsequent enquiry the underlying cause was amended for about 20 per cent of these. These enquiries are open– ended and their effect is limited – few medical conditions are affected, and many of the amendments result in changes only within the same three–digit ICD code. As well as these five sources of further information ‘medical enquiries’ (MEs) have been made by the Registrar General’s Office in most years since 1881.39 These enquiries were sent to certifiers if insufficient details had been provided on the certificate for coding the cause of death precisely. Coders used a standard list of ICD codes which would generate a medical enquiry if selected as the original underlying cause on a death certificate. No follow–up was sent if the ME produced no reply, and enquiries were not normally sent for deaths at age 75 or over. An example of an enquiry is where the death certificate was due to ‘malignant melanoma, site unspecified’ – the certifier would be asked for the exact site of the primary growth, if known.40 An enquiry form was also used for neonatal deaths. OPCS used this system up to 1992, when it was abandoned as it was not possible to deal with these deaths in a timely way, nor to generate enquiries easily from the (new) automated coding system. In any case, studies of the effects of enquiries on mortality statistics in the early 1990s suggested that the system needed review. This was one of many changes which took place in 1993 at the time of redevelopment. Not using medical enquiries meant that from 1993 the numbers of deaths assigned to less specific causes increased, while the number from more specific causes decreased. Many conditions where medical enquiries produced this ‘loss’ of numbers are those with less well-defined descriptions. Examples are: malignant neoplasm of other and ill-defined sites (ICD 195), malignant neoplasm without specification of site (ICD 199), and other diseases of respiratory system (ICD 519). Complementing these are conditions where numbers show a marked net increase, such as malignant neoplasm of small intestine (ICD 152) and bacterial meningitis (ICD 320). For most conditions the effects were small, but and these have been analysed in some detail.41 CONCLUSIONS The process of death registration in England and Wales is a very complex one. It is governed by a variety of laws and regulations which have accumulated over more than a century and a half. Information gathered through these processes is used for public health planning and evaluation, resource allocation, epidemiological and clinical research and a variety of other purposes. These purposes are not all necessarily well served by the current system for investigating and certifying cause of death. Doctors have little training in how to complete medical certificates of cause of death, and uncertain knowledge of their legal obligations. Many are unaware of the uses to which the information they give will be put, including the policy decisions which may ultimately affect their own practice. The key issues for certifiers are the identification of a sequence 31 Office for National Statistics Health Statistics Quar terly 01 Spring 1999 of events (where present), together with a clear understanding of the nature of the underlying cause of death. These could be addressed by better training in certification of medical students and junior doctors, and in the uses of cause of death data. With this appreciation many doctors might take more care in filling out MCCDs, in particular providing as much relevant information as possible, on the standard certificate. A video was produced by ONS in 1995 to assist in training. Investigation of the cause of a quarter of all deaths, the vast majority of which are due to disease, is left to coroners, whose purpose is to prevent homicide going undetected, and to provide a final check on other legislation affecting public safety such as industrial health and safety. This is not a system designed to provide reliable, uniform, good quality information on deaths from diseases for public health purposes or for medical and epidemiological research. In addition, coroners certify many deaths from natural causes for purely administrative reasons: there is no doctor in attendance available to give a certificate. Alternatives are possible. For example, investigation of sudden and unexpected deaths in Sweden is the responsibility of a local public health official, who may consult medical personnel and records before deciding whether autopsy or other investigation is required.42 Many data users have little knowledge of the processes involved in producing mortality data, or of the effects these have on the accuracy, comparability and reliability of the end information. This paper provides some information, and reference to other sources, to help interpret routine statistics and research. Further analyses of multiple cause data will appear in forthcoming ONS publications. These data will be made available to researchers, on request. ACKNOWLEDGEMENTS We thank those colleagues in ONS who assisted in preparing this paper, and acknowledge also the help and useful comments of Graham Jackson (GRO(S)), Lawrence McKeag and John Gordon (both of GRO(NI)) and Dr John Ashley (formerly of OPCS). REFERENCES 1 2 3 4 5 6 7 8 9 There are also possible improvements for ONS to consider. A revised system for medical enquiries which makes a significant improvement to information on cause of death, is being considered for implementation in the near future, in conjunction with the move to ICD10 coding. More fundamental would be an overhaul of the legislation governing death certification, investigation and registration, and of restrictions surrounding release for medical and epidemiological research of data collected at death registration. 10 11 12 13 14 15 Key findings 16 17 • Certification and registration is straightforward for 70 per cent of deaths, requiring a doctor to certify the cause(s) and a registrar to enter these and other details in a register. • In about 30 per cent of cases the death is referred to a coroner, and in about 4 per cent an inquest is subsequently held. Most of the inquest deaths are from accidental or violent causes. • From 1993 ONS has used cause coding rules more in line with international practice, enabling greater consistency and easier comparison. • It is now possible to analyse all conditions mentioned on death certificates, leading to a better understanding of particular diseases in the death process. 18 19 20 21 22 23 24 25 26 27 28 Office for National Statistics 32 Ashley J and Devis T (1992). ‘Death certification from the point of view of the epidemiologist’. Population Trends 67, pp. 22–28. TSO, London. Births and Deaths Registration Act 1836. OPCS (1980). Population and Health Statistics in England and Wales. Ashley J, Cole S K and Kilbane M P J (1991). ‘Health information resources: UK – health and social factors’, in Holland W W (ed), Oxford Textbook of Public Health, volume 2, pp. 29–53. Oxford University Press, Oxford. World Health Organisation (1977). Manual of the International Statistical Classification of Diseases, Injuries and Causes of Death, Ninth Revision, volume 1. WHO, Geneva. General Register Office (1929). Registrar General’s Statistical Review 1927, p. 145. HMSO, London. Report of the Committee on Death Certification and Coroners (Brodrick Report) (1971), p 367. Cmnd 4810 . HMSO, London. Schedules to the Population (Statistics) Act 1938, and the Population (Statistics) Act 1960. OPCS (1996). Mortality statistics: cause 1993 (revised) and 1994, series DH2 no 21, section 3. HMSO, London. Rooney C and Devis T (1996). ‘Mortality trends by cause of death in England and Wales 1980–94: the impact of introducing automated cause coding and related changes in 1993’. Population Trends 86, pp. 29–35. TSO, London. ONS (1998). Mortality statistics: injury and poisoning 1996, series DH4 no 21, pp. xxii–xxiii. TSO, London. Registration of Births and Deaths Regulations 1987, schedule 2. DH4 no 21 op cit, section 2.10. Birth and Death Registration Act 1953, section 22. DH4 no 21 op cit, p. xiv. ONS (1998). Mortality statistics: general 1996, series DH1 no 29. TSO, London. Brodrick Report op cit, p. 107. Matthews P and Foreman J (1993). Jervis on the Office and Duties of Coroners, eleventh edition, p. 3. Sweet and Maxwell, London. Coroners (Amendment) Act 1926. Brodrick Report op cit. Coroners Act 1988. Jervis on Coroners op cit, p 37. ibid, pp. 14–15. Jervis on Coroners op cit, p. 18. Brodrick Report op cit, p. 90 et seq. Registrar General for Scotland. Annual Report 1996, p. 67. GRO(Scotland), Edinburgh (1997). James D S and Bull A D (September 1995). ‘Death certification: is correct formulation of cause of death related to seniority or experience?’ J R Coll Physicians Lond 29(5), pp. 424–428. Barraclough B et al (1974). ‘A hundred cases of suicide: clinical aspects’. British Journal of Psychiatry 125(0), pp. 355–373. Health Statistics Quar terly 01 29 30 31 32 33 34 35 36 37 Personal communication from Dr G Mandsley (1998). ONS (1997). Mortality statistics: general 1993–95, series DH1 no 28, table 45. HMSO, London. Devis T and Rooney C (1997). ‘The time taken to register a death’. Population Trends 88, pp. 48–55. TSO, London. WHO Manual op cit, p. 763. ibid p. 700. ibid pp. 703–712. ibid p. 705. OPCS (1985). Mortality statistics: cause 1984, series DH2 no 11, pp. v–ix. HMSO, London. Rooney C and Devis T. Population Trends 86 op cit. 38 39 40 41 42 Spring 1999 DH2 no 21 op cit, p. xxv–xxvii. Swerdlow A J (1989). ‘Interpretation of England and Wales cancer mortality data: the effect of enquiries to certifiers for further information’. British Journal of Cancer 59, pp. 787–791. DH2 no 21 op cit, p. xii–xxiv. Peters K D et al (in press). ‘Results of the ICE questionnaire on registration and coding practices’. In Proceedings of the International Collaborative Effort on Automating Morality Statistics, eds Peters K D and Rosenberg H M, Hyattsville. ONS (1998). Mortality statistics: cause 1997, series DH2 no 24. TSO, London. 33 Office for National Statistics Health Statistics Quar terl y 01 Spring 1999 Trends in mortality of young adults aged 15 to 44 in England and Wales Paul Aylin, Imperial College School of Medicine at St. Mary’s, Karen Dunnell and Frances Drever, ONS This article updates a previous analysis investigating the reasons for the levelling of mortality in young adults since the mid–1980s. Among men increases in deaths from AIDS, suicides and deaths related to drugs are the main reasons. Teenagers’ mortality has improved consistently whereas that for men aged 40–44 has ceased to improve. The situation for women is more complex with increases from infections, mental disorders and digestive diseases. INTRODUCTION Dunnell1 observed that death rates for most groups of adults have been declining throughout the century, but that between the middle and end of the 1980s, death rates among young men and women aged 15 to 44 stopped declining. This was still the case in the middle of the 1990s. Although mortality in the age group 15 to 44 accounted for only 3 per cent of all deaths in 1996, these deaths are important because of their contribution to years of potential life lost. Over one third of deaths in this age range are from external causes of injury and poisoning and so could be considered to be avoidable. This article looks at trends in mortality in the 15 to 44 age group between 1979 and 1996. For five-year age groups of men and women, the actual numbers of deaths in 1994–96 from the main causes are compared with the expected numbers based on the 1986–88 rates.2 Patterns in various causes of death are described. METHODS Mortality statistics for England and Wales are compiled by the Office for National Statistics from death registrations. Analyses reported here use data from the CD-ROM, Twentieth Century Mortality,3 an aggregated dataset containing year, age, sex, populations and underlying cause of death coded to the ninth revision of the International Classification of Diseases (ICD9).4 Data for the year 1996 were obtained directly from the databases at ONS. Deaths and populations for the years 1979 to 1996 were used. Mortality data for years 1979 to 1992 are based on date of registration. Those for years 1993 to 1996 are based on date of occurrence.5 Age-specific mortality rates were calculated using three-year moving averages. Figures in this article have these rates plotted against the middle year, for example the rate for 1979–81 is plotted at 1980. Similarly, in the text the three-year Office for National Statistics 34 Health Statistics Quar terly 01 death rates are assigned to the middle year, for example the statement ‘a death rate of 325 per million in 1980’ really means the three-year death rate over the period 1979 to 1981 was 325 per million. RESULTS All cause mortality Mortality has been decreasing steadily from 1979. The age-standardised rate for males in 1996 was 72 per cent of the 1979 rate. For females the decrease was less – 76 per cent. Figure 1 ‘Index’ of age-specific mortality rates, England and Wales, males (3- year moving averages) Spring 1999 However, the mortality rates in different age groups have not all seen this steady fall. Figures 1 and 2 show the changes for different age groups for males and females separately. The age-specific rates of 1980 are taken to be 100. Childhood mortality (ages under 15) has improved the most. The mortality rate for boys and girls in the mid-1990s was about one half the rate in 1980. For women, older adult age groups show similar patterns of decrease. Those aged 15 to 44 show faster declines in the early 1980s but there now seems to be a plateau in mortality rates for Figure 2 ‘Index’ of age-specific mortality rates, England and Wales, females (3- year moving averages) Index value (1979–81 =100) Index value (1979–81 =100) 100 100 15–44 90 90 75+ 75+ 15–44 80 80 45–74 45–74 70 70 60 60 Under 15 Under 15 50 50 40 40 1979 Table 1 1981 1983 1985 1987 Year 1989 1991 1993 1979 1995 1981 1983 1985 1987 Year 1989 1991 1993 1995 Age-specific death rates per million population, men and women aged 15 to 44, England and Wales, 1979–96 Age group Years 15–19 20–24 25–29 30–34 35–39 40–44 15–44 Rate per million Men 1979–81 1982–84 1985–87 1988–90 1991–93 1994–96 833 746 697 707 640 572 873 840 825 869 838 839 861 825 778 839 835 879 962 955 957 976 989 1,030 1,405 1,293 1,298 1,351 1,395 1,315 2,451 2,193 2,122 2,013 2,014 2,018 1,231 1,148 1,113 1,126 1,118 1,109 Women 1979–81 1982–84 1985–87 1988–90 1991–93 1994–96 325 298 286 297 283 265 367 324 314 317 323 303 449 419 372 364 364 374 609 582 576 542 519 521 969 894 871 865 804 799 1,658 1,480 1,421 1,373 1,310 1,317 730 666 640 626 601 596 34 Office f or National Statistics Health Statistics Quar terl y 01 Figure 3 Spring 1999 Percentage changes in death rates among men aged 15–44, England and Wales, 1979–96 Figure 4 Percentage changes in death rates among women aged 15–44, England and Wales, 1979–96 30–34 25–29 100 100 20–24 35–39 90 90 15–19 30–34 20–24 35–39 40–44 80 80 25–29 40–44 70 70 15–19 60 1979–81 Table 2 1982–84 1985–87 1988–90 1991–93 1994–96 60 1979–81 1982–84 1985–87 1988–90 1991–93 1994–96 Percentage distribution of main causes of death for men aged 15–44, England and Wales, 1994–96 Age group Cause of death Infectious diseases including AIDS/HIV Neoplasms Lung Leukaemia, etc . Mental disorder Nervous system Circulatory diseases Ischaemic heart disease Stroke Respiratory diseases Digestive diseases External causes Accidents Suicides, etc. Other causes ICD code 15–19 (%) 001-139 140-239 162 200-208 290-319 320-389 390-459 410-414 430-438 460-519 520-579 E800-E999 E800-E949 E950-E959, E980-E989 except E988.8 001-999 Number of deaths = 100% - 0 per cent. * Less than 0.5 per cent. Office for National Statistics 36 20–24 (%) 25–29 (%) 30–34 (%) 35–39 (%) 40–44 (%) 2 2 4 8 7 4 9 4 5 3 5 * 1 3 1 61 44 8 3 6 3 5 1 1 3 1 66 37 10 * 4 5 4 7 2 2 4 2 57 27 12 1 4 4 6 11 4 2 6 4 45 20 17 2 4 3 6 19 11 3 6 7 32 14 24 4 3 2 6 27 19 4 6 8 22 9 13 12 25 6 26 6 22 4 16 3 11 2 2,678 4,492 5,524 6,648 7,287 10,205 Health Statistics Quar terly 01 this group of women. Except for the 15 to 44 age group, each age group of men shows a steady decrease in mortality rates. The 15 to 44 group had declining mortality rates between 1980 and 1986. Between 1987 and 1994, there was a small increase – the age-specific rate in 1995 being roughly the same as in 1986. As the earlier analysis 1 concluded, ‘the age group 15–44 is not a homogeneous group when it comes to explaining changes in death rates’. Table 1 therefore shows the age-specific death rates for five-year age groups of men and women. Figures 3 and 4 use the rates in Table 1 expressed as percentage changes, taking 1979–81 as 100 per cent. Table 3 Spring 1999 Among women, there has been a consistent decrease in rates among those aged 35–39 and 40–44. The improvement in mortality has been greatest for the oldest women in the group, those aged 40–44, where the mortality rate in 1995 was only 79 per cent of that in 1980. This is similar to the improvement among women in the 45–74 year age group as shown in Figure 2. Mortality has improved least among women aged 30–34. They and their sisters aged 25–29 experienced a rise in mortality during the 1990s. The youngest women in the group, those aged 15–19 and 20–24, however, experienced continuing improvement in the 1990s following a period of little change in the late 1980s (Figure 4). Percentage distribution of main causes of death for women aged 15–44, 1994–96, England and Wales Age group Cause of death ICD code Infectious diseases Neoplasms Breast Cervix Lung Lymphomas Leukaemia, etc. Mental disorder Nervous system Circulatory diseases Ishaemic heart disease Stroke Respiratory diseases Digestive diseases External causes Accidents Suicides, etc . Other causes 15–19 20–24 25–29 30–34 35–39 40–44 (%) (%) (%) (%) (%) (%) 001-139 140-239 174 180 162 6 16 * 4 17 * 1 * 5 22 4 3 * 4 34 11 5 1 3 44 16 6 2 2 51 19 4 4 200-208 290-319 320-389 390-459 410-414 430-438 460-519 520-579 E800-E999 E800-E949 E950-E959, E980-E989 except E988.8 001-999 6 3 8 6 * 2 5 1 43 30 9 3 8 9 * 3 4 2 41 22 9 3 6 12 1 4 6 3 32 15 7 2 6 13 2 4 5 5 22 10 6 1 4 14 4 6 5 6 16 7 5 1 4 16 5 6 4 7 11 5 10 8 14 8 14 8 10 7 7 5 5 4 1,169 1,544 2,250 3,232 4,347 6,624 Number of deaths = 100% - 0 per cent. * Less than 0.5 per cent. Table 4 Changes in numbers of deaths, men, England and Wales Age group Cause of death ICD code 15–19 20–24 25–29 30–34 35–39 40–44 1994–96 deaths compared with expecteds using 1986–88 rates Infectious diseases Neoplasms Lung Lymphomas, leukaemia, etc. Mental disorders Nervous system Circulatory diseases Ischaemic heart disease Stroke Respiratory diseases Digestive diseases External causes Accidents Suicides, etc. 001-139 140-239 162 200-208 290-319 320-389 390-459 410-414 430-438 460-519 520-579 E800-E999 E800-E949 E950-E959,E980-E989 except E988.8 14 -67 -2 -42 23 -10 -19 3 -23 -13 4 -497 -482 32 -49 -5 -24 151 -35 41 4 6 17 2 -160 -332 88 -112 2 -40 164 32 43 0 -15 52 9 212 -120 277 -220 -17 -79 109 13 -227 -224 -59 193 -126 29 -96 265 -233 -75 -26 87 3 -398 -419 -52 171 -224 -28 -60 216 -201 -109 -53 79 35 -939 -927 -19 183 -397 -10 -60 -31 -12 138 30 313 81 105 237 -13 474 57 791 001-999 -578 29 569 285 118 -243 Other causes All causes 36 Office f or National Statistics Health Statistics Quar terl y 01 Table 5 Spring 1999 Changes in numbers of deaths, women, England and Wales Age group Cause of death ICD code 15–19 20–24 25–29 30–34 35–39 40–44 1994–96 deaths compared with expecteds using 1986–88 rates Infectious diseases Neoplasms Lung Breast Cervix Lymphomas, leukaemia, etc. Mental disorders Nervous system Circulatory diseases Ischaemic heart disease Stroke Respiratory diseases Digestive diseases External causes Accidents Suicides, etc. 001-139 140-239 162 174 180 200-208 290-319 320-389 390-459 410-414 430-438 460-519 520-579 E800-E999 E800-E949 E950-E959,E980-E989 except E988.8 Other causes All causes 001-999 18 1 1 -2 -1 0 5 1 -8 2 -4 -16 -9 -67 -54 26 -19 -1 -6 -4 39 11 19 5 -3 -9 -20 -9 -55 -54 62 -94 -9 -20 -46 71 27 2 43 2 -8 31 -2 -51 -31 102 -345 -16 -60 -130 51 7 2 -33 -17 -55 14 22 -116 -42 73 -448 -32 -112 -138 66 10 -20 -42 -58 -28 42 53 -84 -3 45 -556 -37 -218 -113 74 21 -29 -59 -73 -47 27 140 -66 -44 -4 -47 -12 -29 2 14 -49 1 -78 -282 -19 3 -122 -70 32 -348 -698 -472 Among men, there has been much greater variability between the five- year age groups. But similar to women, the youngest and oldest have the most improving death rates. This is particularly obvious for teenagers, whose mortality has improved throughout the period. The previous analysis singled out the 40–44 age group as having improving mortality compared with the increasing rates for those aged 20–39 during the 1980s. This has now changed and there has been no improvement in mortality among 40–44 year olds since 1989. Each five-year age group of men aged 20–39 had an equal or higher mortality rate in 1995 compared with 1983 (Figure 3). Causes of death 1994 to 1996 Having looked in some detail at the age specific changes in death rates as a whole we now turn to specific causes of death among each five- year age group. ICD94 divides causes of death up into chapters, then groupings within chapters and then individual diseases. A list of causes was identified, being chapters of the ICD, and groupings within chapters, where these accounted for 5 per cent or more of the overall mortality for at least one of the age groups within the 15 to 44 band. The percentage distributions of deaths from these causes are given in Tables 2 and 3 for 1994–96. Among men aged 15–19, 44 per cent of deaths were due to accidents. This proportion decreased with age to 9 per cent of men aged 40–44. For men in their twenties one in four deaths was a suicide. The proportions were lower for younger and older men. Circulatory and cancer deaths claimed higher proportions of the total deaths at each subsequent older age group. So, for example, 24 per cent and 28 per cent of deaths in 40–44-year-old men were due to cancer and circulatory disease respectively. For women the picture is somewhat different. Cancer accounts for 16 per cent of deaths in the 15–19 age group – rising to 51 per cent in the 40–44 age group. Consequently a smaller proportion of deaths than among men are accounted for by accidents, suicides and circulatory diseases. Nevertheless among the youngest age groups, 15–19 and 20–24, 30 per cent and 22 per cent of deaths respectively were due to accidents. Office for National Statistics 38 Changes in the causes of death over time The previous detailed analysis compared deaths in 1987–89 with those in 1984–86 – a period when mortality in the 15–44 age group appeared to have levelled. It concluded that in men, decreases in deaths from accidents, circulatory disease and cancer had been more than offset by increases in deaths from suicides and AIDS/HIV. Among women the decreases had been offset by a wide variety of increases from breast and cervix cancer, digestive and nervous system deaths and suicides. The previous analysis was repeated to compare deaths in 1994–96 with those in 1986–88. The age and cause specific rates in 1986–88 and the populations in 1994–96 were used to calculate expected numbers of deaths in 1994–96. Tables 4 and 5 summarise the analysis for men and women. Over the period, there was a change in the coding of certain deaths.5 Where this is relevant, it is mentioned in the following commentary. Among men the youngest and the oldest groups, 15–19 and 40–44, both had fewer than expected deaths in 1994–96. The other age groups all had higher than expected numbers of deaths. Nevertheless the pattern of changes was similar for each of the age groups. As in the previous analysis there were reductions in deaths from cancer, circulatory disease and accidents. But again these are more than offset for men aged 20–39 by increases in deaths from infectious and parasitic diseases. These include tuberculosis, viral hepatitis, mumps, and HIV infection. At the beginning of the 1980s, HIV had not been discovered. It was first included in the ICD in code 279.1, which is outside this chapter, before being moved to codes 042–044 in 1993. To be consistent, all deaths in code 279.1 have been transferred to be included in this chapter in the analyses here. The major contributor to these extra deaths from infections is the number of deaths coded to HIV infection. The change in rules for coding causes of death is the main reason for the increase in deaths from respiratory disease. For all age groups of men there was an increase in deaths from mental disorders. The major contributors to the excesses are those deaths coded to drug dependence, non-dependent abuse of morphine and non-dependent alcohol abuse. Not all deaths which involve drugs are coded to this chapter of the ICD. Trends in these codes are only part of Health Statistics Quar terly 01 the complete picture of deaths to drug addicts and should be interpreted with care. ‘For example, where a drug addict dies as a result of an overdose this may be classified under accidental poisoning (E850-858) rather than drug dependence (304) if there is no specific mention of dependence or addiction on the coroner’s certificate’.6 Among men aged 30–44 there has been a substantial decrease in deaths from digestive disease – these are mainly chronic liver disease due to alcohol. For most age groups there were increases in suicides and other causes. ‘Other causes’ require further investigation to identify whether any diseases in particular are contributing to this increase in mortality. Table 5 shows the comparable picture for women. Unlike for men, numbers of deaths in 1994–96 were lower than expected for each age group except 25–29. As for men, accidents were fewer as were heart disease, stroke and all cancers. However unlike the 1980s, breast and cervix cancer mortality decreased in all age groups. But deaths from lymphomas, leukaemia, etc. increased in all age groups. Infectious disease deaths were also higher than expected, reflecting the continuation of HIV/AIDS as a major problem. Digestive diseases showed above expected deaths among women aged 30–44. These were mostly related to alcohol. Unlike men, there is no evidence of increases in suicides or drug-related deaths. Key findings ● ● ● ● Mortality among young adults first became an area of concern in the late 1980s when death rates failed to continue the long-term decline. Children and older adult death rates continued to decrease. This analysis in the mid-1990s shows clearly that the pattern has prevailed. Among women there have been small decreases in death rates between 1992 and 1995 for those aged 15–24, but no decreases for those aged 25–44. Among men there have been significant improvements for 15–19-year-olds because of reductions in deaths from accidents. But for older groups there have been no improvements and some general deterioration since 1986. In addition the improvement in death rates in the 40–44 age group of men that continued until 1989 now appears to have halted. There have been large increases in deaths from ‘other causes’ which need further investigation. In general among men decreases in deaths from cancer, circulatory disease, digestive disease and accidents are being offset by increases in infectious disease deaths, mostly HIV related, mental disorders, suicides, respiratory diseases and ‘other causes’. For women there has been a turn around in breast and cervix cancer deaths which are now decreasing. These are partly offset by increases in deaths from lymphomas and leukaemias. Other causes which are increasing are infections, mental disorders, respiratory and digestive diseases. For most age and sex groups death rates have been declining year on year. Those for people aged 15–44 stopped declining or slowed in the late 1980s. For some five-year age groups of men, death rates were higher in 1994–96 than they were in 1988–90. Decreases in deaths from some cancers, heart disease and accidents are being offset by increases in HIVrelated deaths, suicides and a range of other causes. REFERENCES 1 2 3 S UMMARY AND CONCLUSION Spring 1999 4 5 6 7 8 9 10 Dunnell K (1991). ‘Deaths among 15–44 year olds’. Population Trends 64, pp. 38–43. HMSO, London. Department of Health (1993). ‘Vital Statistics’. On the State of the Public Health 1992, pp. 36–7. HMSO, London. Office for National Statistics (1997). Twentieth Century Mortality CD-ROM. ONS, London. World Health Organisation (1977). Manual of the International Statistical Classification of Diseases, Injuries, and Causes of Death, volume 1 (ninth revision). WHO, Geneva. Office for National Statistics (1996). Mortality statistics: cause 1993 (revised) and 1994, series DH2 no 21. HMSO, London. Christophersen O, Rooney C and Kelly S (1998). ‘Drug-related mortality: methods and trends’. Population Trends 93, pp. 29–37. TSO, London. Blane D and Drever F (1998). ‘Inequality among men in standardised years of potential life lost, 1970–93’. British Medical Journal 317, p. 255. BMJ, London. Tickle L (1991). ‘Mortality trends in the United Kingdom, 1982 to 1992’. Population Trends 86, pp. 21–8. HMSO, London Kelly S and Bunting J (1998). ‘Trends in suicide in England and Wales, 1982–96’. Population Trends 92, pp. 29–41. TSO, London. Public Health Laboratory Service (1997). ‘The Epidemiology of HIV infection and AIDS’ – a collection of articles that focus on the UK and present data to the end of 1996. Communicable Disease Report, Vol. 7, Review Number 9. PHLS, London. It is important to continue to monitor mortality in young adults. First, because although death rates are relatively low, they make a considerable contribution to years of life lost 7 and to life expectancy measure. 8 Second, it is among this age group that new public health issues emerge, such as the changing epidemiology of suicide,9 the increase in drug-related deaths6 and the continuation of the HIV epidemic. 10 38 Office f or National Statistics Health Statistics Quar terly 01 Spring 1999 Weekly deaths in England and Wales Sue Kelly, ONS, and Helen Lawes, formerly ONS INTRODUCTION The primary use of (provisional) weekly death counts continues to be rapid surveillance for early warning signs of an upturn in the number of deaths due, for example, to a particularly cold snap or an influenza epidemic. Subsequently, weekly/daily death counts are used for epidemiological analysis. This short article describes the method used by ONS to estimate weekly death registrations between 1995 and 1998, and the alternative methods investigated during 1996–98. The new method, in use since October 1998, is both more accurate and more robust. The article also discusses plans by ONS for future work in this area. The publication of weekly deaths data has a long history, dating back to the 1850s when figures first appeared in the Registrar General’s Weekly Return. Subsequently, weekly deaths tables have involved the development of methods concerned with the weighting of available figures to counter late registrations of death. In 1993 the handling of death registrations in England and Wales changed from a manual to a near fully-automated system,1 increasing the speed by which information could be both entered onto the ONS deaths database and extracted from it. This article describes the method used by ONS to estimate weekly death registrations between 1995 and 1998, the alternative methods investigated during 1996–98, and the new method in use since October 1998. The article also discusses ONS’ plans for future work in this area. The primary use of (provisional) weekly death counts continues to be rapid surveillance for early warning signs of an upturn in the number of deaths due, for example, to a particularly cold snap or an influenza epidemic. Subsequently, weekly/daily death counts are used for epidemiological analysis, including investigating the size of an epidemic, who in the population was affected and what they died of. In recent years ONS has carried out detailed analyses of the 1989/90 influenza epidemic2 and the 1996/97 winter when there was a very cold snap at the end of December/beginning of January. 3 METHOD USED FROM MID-1995 TO SEPTEMBER 1998 Estimates of the number of death registrations in a particular week (ending on a Friday) were produced on the Wednesday of the following week. The method was based on the number of deaths submitted by registration districts. The database submissions file was interrogated to find out how many districts had sent information to ONS by Wednesday. For the districts which had submitted, the program looked at the submission file for the previous year, and counted their submissions for the corresponding period, one year earlier. This produced a figure of total registrations submitted by these districts for the previous year. The actual death registrations for the previous week received by Wednesday morning were then multiplied by a weighting factor, based on these figures (see Box One). This approach was regarded as more robust than simply grossing up on the basis of the percentage of districts from which weekly returns had been received. The calculation also took into account the size of districts based on previous submission history. However, the program was unable to cope with the splitting of registration districts, as occurred in April 1996. Districts which had undergone changes could Office for National Statistics 40 Health Statistics Quar terly 01 Box one EXPLANATION OF ESTIMATION METHODS Method used mid-1995 to September 1998 This method multiplies the number of deaths registered in the week of interest and received by the following Wednesday by a weighting factor. For week of interest, the estimated number of death registrations = (e/d1) x d2, where d1 = deaths received last year from districts which have already submitted in current year, d2 = deaths received in current year from districts who have submitted by Wednesday, and e = total deaths received last year from all districts. Method 1 This method adapts the previous method to allow for records from districts in existence in the current year which were not in existence in the previous year. Such changes usually come about when a district splits into two or more districts. The formula is the same but with d1 now representing the sum of deaths received last year from districts which have already submitted in the current year plus deaths received in the current year from districts which did not exist in the previous year. Method 2 This method involves grossing up the number of records for the week of interest received by the following Wednesday by the percentage of districts yet to submit. For example, if 7,000 records received represents a 75 per cent sample of all districts, then the estimate is 7,000 x (100/75). Method 3 This method is similar to the one used from mid-1995 to September 1998, but compares current figures with registrations received six weeks ago, rather than one year ago. not be matched between years in order to obtain figures for the calculation. Consequently, this method overestimated ‘true’ numbers of weekly death registrations by an average of 588 (or 5.4 per cent) over the period September 1996 to July 1998. ALTERNATIVE METHODS FOR WEEKLY DEATH REGISTRATIONS DATA Between 1996 and 1998 alternative methods of estimating weekly death registrations were investigated. One estimation method, to avoid the problems mentioned above, was to manually add the actual numbers of registrations for districts which had changed and had therefore been ‘missed’ by the program (Method 1 in Figure 1) (see Box One). Spring 1999 Method 2 weighted the number of records received so far by the percentage of districts yet to submit (see Box One). However, this estimate was distorted by the fact that records received to date were disproportionately composed of records from computerised register offices. Conversely, the districts yet to submit were represented to a disproportionate extent by non-computerised register offices. This group tends to include relatively large numbers of small rural districts with low numbers of weekly deaths, thereby distorting the picture still further. This method produced a poor estimate and is not shown in Figure 1. A third method involved looking at the registrations received six weeks ago, rather than registrations one year previously (Method 3 in Figure 1). This ensured that changes to registration district boundaries were obviated. However, it would not take account of seasonal variations in mortality levels. These three alternative methods of estimating weekly death registrations were run in parallel with the ‘main’ method from September 1996 to July 1998. Additionally, from November 1997 to July 1998, we also recorded the actual number of death registrations for each week received by ONS and entered on the database by the following week. Figure 1 shows data for Methods 1 and 3, the method in use from mid-1995 to September 1998, and the actual number of registrations (that is the Wednesday count unadjusted), together with ‘final’ data (as at October 1998), for the period November 1997 to July 1998. On comparing the various methods we concluded that both Methods 1 and 3 produced a more accurate estimate than the method in use at the time, but that Method 3 was slightly more robust. During the November 1997-July 1998 period, in addition to recording data for the various methods on the Wednesday following the week of interest, we also produced data on the Thursday and Friday. These extra couple of days brought the actual figure closer to the ‘final’ figure, but had little, if any, effect on the estimated figures. It should be noted that Figure 1 does not include any estimated figures for weeks 51, 52 and 1, which cover the Christmas and New Year period. In practice these figures are produced later than usual due to both the closure of register offices and the shutdown of the ONS computer over the holiday period. A decision was taken in September 1998 to change the method of producing weekly death figures to estimation Method 3. This new method was first implemented for deaths registered in the week ending 2 October 1998. DEATHS BY DATE OF OCCURRENCE Published weekly mortality data has traditionally used death registrations. Problems associated with using death registrations rather than occurrences, due to the fact that the length of time between occurrence and registration may vary considerably, 4 have long been recognised. In particular, there is an uneven pattern of registrations resulting from the influence of Bank Holidays when register offices are closed. When running all the alternative methods for weekly deaths data over the period November 1997 to July 1998, we also produced a count of the actual number of death occurrences to date, on the database, for the previous week. As for the registrations, we took these counts on a Thursday and Friday as well as on the Wednesday following the week of interest. Figure 2 compares these counts and the ‘final’ number of death occurrences (as at October 1998). 41 Office for National Statistics Health Statistics Quar terly 01 Figure 1 Spring 1999 Weekly death registrations using different methods, 1997/98 Number of deaths 14,000 12,000 10,000 8,000 6,000 4,000 Method 1995-98 Method 3 Method 1 Actual Final 2,000 0 45 46 47 48 49 50 51 52 1 Figure 2 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 Week number Weekly death occurrences: different counts compared to final figures, 1997/98 Number of deaths 14,000 12,000 FJ J F J J 10,000 8,000 F J J F F J FJ J J J J J J J F FJ F F F J FJ F F JJ J FJ FJ F J J J F J J J J J J J J F J J J J J 6,000 F F J J F J JJ FJ J J F J FJ J FJ FJ J J FJ J J J J J J J JJ 4,000 J Wed J Thurs F Fri Final 2,000 0 45 46 47 48 49 50 51 52 1 Office for National Statistics 2 3 42 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 Week number Health Statistics Quar terly 01 Not surprisingly counts extracted on a Friday were closest to the ‘final’ figures, but still substantially below by an average of 2,616 deaths (or 24.1 per cent) per week. The trend lines for the actual data were very similar to the trend line for the ‘final’ figures, except at Christmas/New Year and Easter. Indeed the peak in the ‘final’ figures in week 1 was accompanied by a trough in the actual figures. This is due to the fact that, although we have plotted occurrence data, there is still a registration artifact caused by the closure of register offices over the Christmas and New Year Bank Holidays. Also, the actual counts for weeks 51 and 52 were higher than would be expected because these counts were taken later than usual (beginning of January), due to both the closure of register offices and the shutdown of the ONS computer over the holiday period, allowing more death registrations to reach ONS before the occurrence counts were extracted. We concluded that actual occurrence counts, while being the ideal measure, could not be used in their ‘raw’ form. ONS plans to look into the possibility of modelling the actual occurrence data. In particular, this will need to take into account the exact days of the week on which Christmas and New Year Bank Holidays fall. This work is planned to be carried out in the second half of 1999. Any new count using occurrences would continue to be produced to the current timetable, in order that rapid surveillance can continue. weekly estimates of death registrations. Long series of these data should not be used for epidemiological analysis. Instead users should contact ONS for actual data. For recent data (deaths within the last nine months) we can provide deaths by date of registration, whilst for earlier data we can provide deaths by date of occurrence. Key points ● ● ● The estimation method used from mid–1995 to September 1998 consistently overestimated weekly death registrations. A new estimation method was introduced in October 1998, which is both more accurate and more robust. Weekly occurrence figures are the ideal measure, and ONS plans to look into the possibility of modelling actual weekly occurrence data. REFERENCES 1 S UMMARY The study of weekly deaths in relation to temperature or climate should use deaths by date of occurrence, avoiding the problem of late registrations and the unnatural peaks and troughs this creates in the data. We will be carrying out further work on weekly occurrence data later in the year. In the meantime, a new weekly estimate of death registrations has been in use since October 1998. This estimate is both more accurate and more robust than the estimate in use from mid-1995 to September 1998. Spring 1999 2 3 4 Rooney C and Devis T (1996). ‘Mortality trends by cause of death in England and Wales 1980–94; the impact of introducing automated cause coding and related changes in 1993’. Population Trends 86, pp. 29–35. HMSO, London. Ashley J, Smith T, and Dunnell K (1991). ‘Deaths in Great Britain associated with the influenza epidemic of 1989/90’. Population Trends 65, pp. 16–20. HMSO, London. Christophersen O (1997). ‘Mortality during the 1996/7 winter’. Population Trends 90, pp. 11–17. TSO, London. Devis T and Rooney C (1997). ‘The time taken to register a death’. Population Trends 88, pp. 48–55. TSO, London. Since April 1996 ONS has published weekly deaths data in a Monthly News Release. Users of these data should remember that they are 43 Office for National Statistics Health Statistics Quar terly 01 Spring 1999 Annual Update: 1997 Mortality Statistics: Cause (England and Wales) The ONS publication Mortality statistics: cause, England and Wales 1997, Series DH2 no. 24, was published in December 1998. It contains statistics of deaths in England and Wales analysed by cause of death, sex and age group. Deaths are classified according to the 9th revision of the International Classification of Diseases (ICD9). The number of deaths that occurred in England and Wales in 1997 was 555,281, just under 1 per cent fewer than in 1996 (Table 1). The crude death rate (deaths per 1,000 population) was 10.6 in 1997. The age-standardised death rate (see Notes to tables) continues to fall for both sexes. Between 1971 and 1997, the rate fell by a third for males and just over a quarter for females. Age-standardised rates by underlying cause of death show that over twice as many men as women died from lung cancer in 1997. However, since 1984 the female rate has remained fairly constant between 280 and 300 deaths per million, while the male rate has fallen by over a third from 998 to 649 deaths per million. Male and female death rates from cerebrovascular disease have continued to fall and are both now 50 per cent lower than they were in 1971. Over the same period, the mortality rate for both sexes from chronic liver disease and cirrhosis has more than doubled. Table 1 There are many diseases associated with older adults although there are few diseases that can be said to be totally age-affected. Figure 1 shows the percentage change in some of these diseases using two-year average age-specific mortality rates over the period 1994/95 and 1996/97, for men and women aged 65 and over. Mortality from pneumonia (ICD9 codes 480-486), accidental falls (E880-E888) and osteoporosis (733.0) has increased for both sexes. The age-specific rate for accidental falls in men in 1996/97 (29 per 100,000) is over a quarter lower than that for women (40 per 100,000). Based on single-year data death rates for senile dementia (290.0) increased between 1994 and 1995 but have since fallen by between 6 and 16 per cent. Of the seven diseases analysed rheumatoid arthritis (714.0) shows the only opposing trend for men and women, with the rate for women at its lowest level for 20 years at 11 per 100,000. Looking at these data broken down into 10-year age groups (65–74, 75–84 and 85 and over) gives a more in-depth analysis. Mortality from osteoporosis in women has increased from 42 per 100,000 in 1994/95 to 44 per 100,000 in 1996/97 in the 85 and over age group, whilst the rates have decreased for both the 65–74 and 75–84 year age groups. The opposite is true for men dying from rheumatoid arthritis, where the rate has decreased in the 85 and over age group, but risen for the younger ages. Mortality from Parkinson’s disease (332) for men aged 65 and Deaths and death rates in England and Wales Males Year Total deaths Crude death rate* Age-standardised rate† 1971 1981 1991 1992 567,262 577,890 570,044 558,313 11.6 11.6 11.2 10.9 1993 1994 1995 1996 1997 578,799 553,194 569,683 560,135 555,281 11.3 10.7 11.0 10.8 10.6 Females Deaths Crude death rate* Age-standardised rate† Deaths Crude death rate* Age-standardised rate† 10,326 9,374 7,987 7,724 288,359 289,022 277,582 271,732 12.2 12.0 11.1 10.8 13,464 12,200 10,234 9,870 278,903 288,868 292,462 286,581 11.1 11.3 11.2 10.9 8,186 7,433 6,399 6,197 7,878 7,486 7,574 7,376 7,239 279,561 267,555 274,449 268,682 264,865 11.1 10.6 10.8 10.5 10.3 10,010 9,502 9,582 9,271 9,019 299,238 285,639 295,234 291,453 290,416 11.4 10.9 11.2 11.0 10.9 6,347 6,039 6,128 5,995 5,926 * Deaths per 1,000 population. † Deaths per million. (See Notes to tables.) Note: Figures up to 1992 represent those deaths that were registered during the year, figures from 1993 onwards those that occurred during the year. Office for National Statistics 44 Health Statistics Quar terly 01 over has not changed between the years covered and for women in the same age group the rise was minimal. However, the rate for men aged 75–84 has decreased by nearly 9 per cent and that for women aged 65– 74 has decreased by over 15 per cent. The death rate for accidental falls in men aged 65 and over has increased by nearly 4 per cent, although a rise (of 11 per cent) is seen in the 65–74 year age group, with rates for the older ages falling by 2 and 3 per cent respectively. Table 2 shows that age-specific death rates have fallen sharply for all age groups since 1971. The largest decrease has been for the youngest age group, 0–14, where the rate has fallen by almost two-thirds for each sex. Since 1971, rates for males have fallen proportionately more than those for females. However looking just at the trend during the 1990s, shows that the rates among women aged between 15 and 44 have shown the smallest decreases, of between 2 and 5 per cent. The rate for men aged 25–34 has increased during the 1990s by 2 per cent, having peaked in 1994. The rates for most age groups for each sex have decreased from 1996. The exceptions are for men aged 15–24 and for women aged 45–54 and for women aged 85 and over which have shown small increases. Table 2 Spring 1999 For the first time since 1986 the DH2 includes information on the number of causes mentioned at death certification. The underlying cause will usually be selected from one of the mentioned causes although occasionally it may be inferred from two or more mentioned causes. The tables in the DH2 present the mean number of mentioned causes per death by underlying cause, the age distribution of mentioned causes and the ratio of mentioned causes to underlying cause broken down by age and sex. There is little variation overall in the ratio of mentions to underlying causes when analysed by sex. The ratio is 2.31 for males and 2.21 for females. However, there are marked variations between different conditions. For male deaths in 1997, septicaemia was given as a mentioned cause over 11 times as often as it was assigned as an underlying cause, but for stomach cancer the ratio was just 1.1. Further analysis of mentioned causes will appear in future ONS publications and additional information is available to researchers on request. Age-specific death rates per million population, England and Wales, 1971–97 Age group Year 0–14 15–24 25–34 35–44 45–54 55–64 65–74 75–84 85+ Males 1971 1981 1991 1992 1993 1994 1995 1996 1997 1,806 1,118 844 736 693 665 644 631 610 915 825 800 723 722 705 730 709 735 974 891 907 907 911 962 951 953 928 2,311 1,830 1,741 1,714 1,674 1,660 1,669 1,622 1,543 7,069 6,111 4,562 4,285 4,244 3,993 4,081 4,016 3,940 20,083 17,740 13,866 13,417 13,258 12,415 12,264 11,970 11,453 50,510 45,641 38,092 37,262 37,893 36,171 36,085 34,499 33,221 112,955 105,224 92,560 90,146 93,338 89,549 89,445 85,061 82,489 231,842 226,232 202,602 193,881 202,285 188,636 195,997 192,139 190,327 Females 1971 1981 1991 1992 1993 1994 1995 1996 1997 1,359 835 657 571 548 515 496 488 480 405 334 314 308 294 277 279 300 297 605 518 439 430 447 435 456 454 425 1,592 1,259 1,053 1,077 1,056 1,064 1,047 1,032 1,031 4,318 3,798 2,871 2,727 2,726 2,683 2,722 2,619 2,630 10,047 9,492 8,153 7,915 7,858 7,325 7,285 7,087 6,942 26,127 24,145 21,846 21,469 21,973 21,266 21,393 20,653 20,189 73,645 66,224 58,169 56,922 59,396 56,871 57,075 55,782 54,572 185,684 178,183 155,527 148,803 156,467 146,650 153,080 150,777 151,749 Persons 1971 1981 1991 1992 1993 1994 1995 1996 1997 1,589 980 753 655 622 592 572 561 547 664 584 563 521 514 497 510 510 522 792 706 676 673 683 704 709 709 683 1,955 1,547 1,398 1,396 1,366 1,363 1,360 1,330 1,289 5,671 4,954 3,717 3,507 3,485 3,338 3,401 3,317 3,285 14,817 13,448 10,955 10,617 10,514 9,832 9,742 9,499 9,171 36,380 33,545 29,155 28,601 29,184 28,033 28,095 27,004 26,200 86,638 79,690 70,836 69,221 72,004 69,059 69,291 66,935 65,307 197,537 189,380 166,816 159,753 167,786 157,126 163,947 161,394 161,807 Figures up to 1992 represent those deaths that were registered during the year, figures from 1993 onwards those that occurred during the year. 45 Office for National Statistics Health Statistics Quar terly 01 Figure 1 Spring 1999 Percentage change in death rates by cause and sex, ages 65 and over, 1994/95–1996/97, England and Wales Percentage change 15 Men Women 10 5 0 -5 -10 -15 Pneumonia Accidental falls Diabetes Senile dementia Cause of death Office for National Statistics 46 Parkinson's disease Rheumatoid arthritis Osteoporosis Tables Page Table Population 1.1 1.2 International National 1.3 Subnational 1.4 Subnational 1.5 Age and sex 1.6 Age, sex and legal marital status ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ Selected countries Constituent countries of the United Kingdom Health Regional Office areas of England Government Office Regions of England Constituent countries of the United Kingdom England and Wales 48 50 51 52 53 56 Vital statistics 2.1 Summary 2.2 Key demographic and health indicators ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ Constituent countries of the United Kingdom Constituent countries of the United Kingdom 58 60 Live births Age of mother Outside marriage: age of mother and type of registration 3.1 3.2 ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ England and Wales England and Wales 61 62 England and Wales (residents) England and Wales 63 64 Constituent countries of the United Kingdom 65 ○ Conceptions and abortions Age of women at conception Abortions: age and gestation. 4.1 4.2 ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ Expectation of life (In years) at birth and selected age 5.1 ○ ○ ○ ○ ○ ○ ○ Deaths 6.1 6.2 Age and sex Subnational 6.3 Selected causes and sex ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ England and Wales Health Regional Office areas of England England and Wales ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ ○ Notes to tables 66 67 68 70 Symbols .. : blank not available not applicable nil or less than half the final digit shown not yet available 47 Office for National Statistics Health Statistics Quar terly 01 Table 1.1 Year Spring 1999 Population and vital rates: international United Kingdom (1) Austria (2) Belgium (2) Denmark (2) Finland (2) 7,501 7,566 7,569 7,588 7,818 9,673 9,811 9,859 9,862 10,005 4,963 5,073 5,122 5,121 5,154 7,989 8,028 8,047 8,059 10,085 10,116 10,137 10,157 Population changes (per 1,000 per annum) 1971–76 1.0 1.7 2.9 1976–81 0.5 0.1 1.0 1981–86 1.8 0.5 0.1 1986–91 1.7 Population (thousands) 1971 55,928 1976 56,216 1981 56,352 1986 56,852 1991 57,808 1992** 58,006 1993 1994 1995 1996 1997 58,191 58,395 58,606 58,801 59,009 1991–92 1992–93 1993–94 1994–95 1995–96 1996–97 3.4 3.2 3.5 3.6 3.3 3.5 12.3 9.3 4.9 2.4 1.6 Live birth rate (per 1,000 per annum) 1971–75 14.1 13.3 1976–80 12.5 11.5 1981–85 12.9 12.0 1986–90** 1991 13.7 12.1 1992 13.5 12.1 1993 1994 1995 1996 1997 13.1 12.9 12.5 12.5 12.3 11.9 11.5 11.0 11.0 10.4 Death rate (per 1,000 per annum) 1971–75 11.8 12.6 1976–80 11.9 12.3 1981–85 11.7 12.0 1986–90** 1991 11.3 10.7 1992 11.0 10.5 1993 1994 1995 1996 1997 * † ** ‡ ≠ 11.3 10.7 10.9 10.9 10.8 10.3 10.0 10.1 10.0 9.8 Excluding former GDR throughout. Including former GDR throughout. Not currently available. Provisional. Estimates prepared by the Population Division of the United Nations. + Rates are for 1990–95. Selected countries France Germany Germany (2) (Fed. Rep (2))* (2)† Greece (2) Irish Republic (2) Italy (2) Luxembourg (2) Netherlands (2) Portugal (2) 4,612 4,726 4,800 4,918 5,014 51,251 52,909 54,182 55,547 57,055 61,302 61,531 61,682 61,066 64,074 78,352 78,321 78,419 77,694 80,014 8,831 9,167 9,729 9,967 10,247 2,978 3,228 3,443 3,541 3,526 54,074 55,718 56,510 56,596 56,751 342 361 365 368 387 13,195 13,774 14,247 14,572 15,070 8,644 9,355 9,851 10,011 9,871 5,189 5,205 5,228 5,262 5,066 5,089 5,108 5,125 57,654 57,899 58,137 ‡ 58,374 ‡ 65,534 65,858 66,715 81,156 81,438 81,678 10,380 10,426 10,454 10,475 3,574 3,587 ‡ 3,605 ‡ 3,626 ‡ 57,049 57,204 57,301 57,397 398 404 410 416 15,290 15,383 15,459 15,531 9,881 9,902 9,917 9,927 4.4 1.9 0.0 4.9 3.1 4.9 6.5 4.8 5.0 0.7 0.5 –2.0 -0.1 0.3 -1.8 7.6 12.3 4.9 16.8 13.3 5.7 6.1 2.8 0.3 10.7 2.5 1.8 8.8 6.9 4.6 16.5 10.6 3.2 4.1 3.9 3.1 2.1 1.9 3.2 3.7 3.0 4.4 6.4 5.6 4.8 4.4 3.7 3.3 5.6 4.9 4.2 4.1 ‡ 4.1 ‡ 12.3 10.3 4.9 13.0 7.6 6.6 3.5 2.9 7.3 5.6 4.5 2.7 2.0 8.8 4.8 3.9 ‡ 5.0 ‡ 5.8 ‡ 1.9 3.4 2.7 1.7 1.7 13.9 14.3 14.3 14.6 14.4 7.6 7.0 6.1 4.9 4.6 –0.4 1.4 2.2 1.4 1.1 13.4 12.5 12.0 14.6 12.0 10.2 13.1 13.6 13.4 16.0 14.1 14.2 10.8 9.7 9.8 10.5 10.5 10.7 15.8 15.6 13.3 22.2 21.3 19.2 16.0 12.6 10.6 11.6 11.2 11.6 14.9 12.6 12.2 20.3 17.9 14.5 12.6 12.4 12.5 13.1 13.0 13.3 13.3 13.0 11.3 11.1 10.4 10.1 10.1 10.1 15.0 14.4 9.9 9.7 12.9 13.1 13.2 13.0 11.8 11.6 13.0 13.4 13.4 12.9 ‡ 12.8 ‡ 12.8 12.8 12.3 11.8 11.5 ‡ 12.3 12.3 12.5 ‡ 12.6 ‡ 12.4 ‡ 11.0 10.5 10.2 10.6 ‡ 9.8 10.0 9.7 9.6 ‡ 9.7 ‡ 13.8 13.4 ‡ 13.5 ‡ 13.9 ‡ 14.3 ‡ 9.6 9.3 9.2 ‡ 9.2 ‡ 9.2 ‡ 13.4 13.5 13.2 13.7 13.1 12.8 12.7 12.3 12.2 12.2 ‡ 11.5 11.0 10.8 11.1 11.4 12.0 11.5 11.4 11.4 11.4 ‡ ‡ ‡ ‡ ‡ 9.9 9.5 9.4 9.7 ‡ 12.1 11.6 11.4 10.1 10.5 11.1 9.5 9.3 9.3 10.7 10.2 10.1 11.9 11.7 11.6 12.3 12.2 12.0 8.6 8.8 9.0 11.0 10.2 9.4 9.8 9.7 9.5 12.2 11.5 11.2 8.3 8.1 8.3 11.0 10.1 9.6 10.5 10.3 11.6 11.8 9.8 9.9 9.2 9.1 11.1 10.7 11.4 11.0 9.3 9.5 8.9 8.7 9.7 9.6 9.7 10.2 8.6 8.6 10.5 10.2 9.2 9.0 9.1 ‡ 9.2 ‡ 9.1 ‡ 10.9 10.7 10.6 10.7 11.1 10.9 10.8 10.8 9.4 9.4 9.6 9.6 9.6 8.7 8.6 ‡ 9.0 8.8 ‡ 8.6 ‡ 9.7 9.7 9.5 9.5 9.6 9.0 8.7 8.8 8.9 ‡ 8.7 ‡ 10.7 10.0 10.4 10.8 10.5 10.7 10.4 10.5 10.4 10.2 ‡ ‡ ‡ ‡ ‡ 12.1 11.7 12.1 11.6 ‡ 11.3 ‡ (1) (2) (3) (4) (5) (6) (7) Population estimated at 30 June each year. Average of estimated populations at start and end of year as given in Council of Europe report Recent demographic developments in Europe 1997. EU as constituted 1 January 1986 and including countries subsequently admitted. Population estimated at 1 June each year. Population estimated at 31 December each year. Population estimated at 1 July except for 1991 (1 March). Population estimated at 1 October. (Rates for Japan are based on population of Japanese nationality only.) Note: Figures may not add exactly due to rounding. Office for National Statistics 48 10.1 9.4 9.6 9.6 9.6 ‡ ‡ ‡ ‡ 9.8 9.4 9.3 9.4 9.4 Health Statistics Quar terly 01 Population and vital rates: international Table 1.1 continued Spain (2) Spring 1999 Sweden (2) European Union (3) Selected countries Russian Federation (2) Australia (1) Canada (4) New Zealand (5) 139,422 144,475 148,624 13,067 14,033 14,923 16,018 17,284 22,026 23,517 24,900 26,204 28,120 2,899 3,163 3,195 3,317 3,450 852,290 943,033 1,011,219 1,086,733 1,170,052 148,520 148,336 148,141 147,739 17,667 17,855 18,072 18,311 28,947 29,256 29,615 29,964 ‡ 3,556 3,604 3,658 3,716 1,190,360 ≠ 1,208,841 ≠ 1,221,462 ≠ 7.2 14.8 12.7 14.7 13.5 11.8 10.5 18.2 2.0 7.6 19.9 15.2 15.5 Population changes (per 1,000 per annum) 23.9 15.1 10.0 1971–76 18.8 8.5 10.9 1976–81 27.3 6.4 9.3 1981–86 1986–91 0.4 -1.1 -1.2 -1.3 -2.7 12.2 9.9 10.6 12.2 13.2 15.0 14.2 10.7 12.3 11.8‡ 19.0 11.5 13.5 15.0 15.8 11.6 5.7 15.5 10.4 19.0 18.5 39.2 18.7 18.8 15.7 15.6 15.9 15.5 15.1 20.4 16.8 15.8 27.2 18.6 19.2 35.6 33.4 .. 12.1 10.7 14.9 15.1 14.3 14.0 17.4 17.2 9.3 9.5 9.2 8.8 8.6 14.7 14.5 14.2 13.9 13.4 13.2 12.8 17.1 16.4 16.3 18.3+ 28.7 28.7 28.3 8.2 7.6 7.3 7.4 7.2 7.0 8.4 8.2 8.1 7.3 6.6 6.7 15.5 13.8 .. 34,190 35,937 37,742 38,537 38,920 8,098 8,222 8,321 8,370 8,617 342,631 350,384 356,511 359,543 366,256 39,086 39,150 39,210 39,270 8,719 8,781 8,827 8,841 369,706 ‡ 371,005 ‡ 372,122 ‡ 10.2 10.0 4.2 3.1 2.4 1.2 4.5 3.5 1.7 2.3 2.0 1.6 1.5 1.5 5.9 5.8 7.1 5.3 1.6 4.9 4.5 3.5 3.0 19.2 17.1 12.8 13.5 11.6 11.3 14.7 13.1 12.2 10.2 10.2 14.3 14.2 11.7 11.5 9.9 9.5 9.3 ‡ 9.1 ‡ 9.2 ‡ 13.5 12.8 11.7 10.8 10.2 11.2 ‡ 10.9 ‡ 10.7 ‡ 8.5 8.0 7.7 10.5 10.9 11.0 10.8 10.6 10.4 8.6 8.5 11.0 10.9 10.2 10.0 11.4 12.2 6.9 7.1 7.0 6.9 7.8 7.9 8.7 8.6 8.8 ‡ 8.9 ‡ 8.9 ‡ 11.1 10.5 10.6 10.6 10.5 10.2‡ 9.9‡ 10.0‡ 14.3 15.5 14.9 14.1 13.7 6.8 7.1 6.9 7.0 7.1 7.1 7.1 7.2 7.7 7.5 7.6 7.6 ‡ ‡ ‡ ‡ China (5) ≠ ≠ ≠ ≠ India (6) Japan (7) 551,311 617,248 676,218 767,199 851,661 105,145 113,094 117,902 121,672 123,102 833,910 918,570 ≠ 935,744 ≠ 123,788 124,069 124,299 124,709 29.5 29.0 9.8 10.1 7.2+ 9.3 9.3 9.0 3.0 2.5 2.3 1.9 3.3 USA (1) Year Population (thousands) 207,661 1971 218,035 1976 230,138 1981 240,680 1986 252,177 1991 1992 257,783 260,341 262,755 265,284 11.5 10.6 9.9 9.3 9.6 1993 1994 1995 1996 1997 1991–92 1992–93 1993–94 1994–95 1995–96 1996–97 Live birth rate (per 1,000 per annum) 18.6 15.3 1971–75 14.9 15.2 1976–80 12.6 15.7 1981–85 1986–90 9.9 16.3 1991 9.7 16.0 1992 9.5 9.9 9.5 9.6 ‡ 15.5 15.2 14.8 14.8 ‡ Death rate (per 1,000 per annum) 6.4 9.1 1971–75 6.1 8.7 1976–80 6.1 8.6 1981–85 1986–90 6.7 8.6 1991 6.9 8.5 1992 7.0 7.0 7.4 7.1 8.8 8.7 8.8 8.8 ‡ See notes opposite. 49 1993 1994 1995 1996 1997 Office f or National Statistics 1993 1994 1995 1996 1997 Health Statistics Quar terly 01 Table 1.2 Spring 1999 Population: national Numbers (thousands) and percentage age distribution Mid-year Constituent countries of the United Kingdom United Kingdom Great Britain England and Wales England Wales Scotland Northern Ireland Estimates 1971 1976 1981 1986 1991 1992 55,928 56,216 56,352 56,852 57,808 58,006 54,388 54,693 54,815 55,285 56,207 56,388 49,152 49,459 49,634 50,162 51,100 51,277 46,412 46,660 46,821 47,342 48,208 48,378 2,740 2,799 2,813 2,820 2,891 2,899 5,236 5,233 5,180 5,123 5,107 5,111 1,540 1,524 1,538 1,567 1,601 1,618 1993 1994 1995 1996 1997 58,191 58,395 58,606 58,801 59,009 56,559 56,753 56,957 57,138 57,334 51,439 51,621 51,820 52,010 52,211 48,533 48,707 48,903 49,089 49,284 2,906 2,913 2,917 2,921 2,927 5,120 5,132 5,137 5,128 5,123 1,632 1,642 1,649 1,663 1,675 6.3 14.2 40.9 20.4 10.9 7.2 6.3 14.1 40.9 20.5 10.9 7.3 6.3 14.2 40.8 20.5 10.9 7.3 6.3 14.1 41.0 20.5 10.8 7.3 6.0 14.5 38.4 21.2 12.0 7.9 6.0 13.9 41.8 20.4 11.3 6.6 7.4 17.2 41.9 18.5 9.6 5.5 59,618 60,287 60,929 61,605 62,244 57,924 58,576 59,209 59,880 60,519 52,818 53,492 54,151 54,849 55,526 49,871 50,526 51,161 51,832 52,484 2,947 2,966 2,989 3,017 3,043 5,106 5,084 5,059 5,031 4,993 1,694 1,711 1,720 1,725 1,724 5.6 12.2 35.7 27.3 10.6 8.6 5.6 12.1 35.7 27.3 10.6 8.6 5.6 12.2 35.8 27.2 10.6 8.7 5.6 12.2 35.8 27.3 10.5 8.6 5.6 12.4 35.2 26.2 11.3 9.4 5.3 11.8 34.6 28.7 11.1 8.5 5.8 13.1 36.7 27.0 9.6 7.7 of which (percentages) 0–4 5–15 16–44 45–64M/59F 65M/60F–74 75 and over Projections≠ 2001 2006 2011 2016 2021 of which (percentages) 0–4 5–15 16–44 45–64† 65–74† 75 and over ≠ These projections are based on the mid-1996 population estimates. † Between 2010 and 2020, state retirement age will change from 65 years for men and 60 years for women, to 65 years for both sexes. Note: Figures may not add exactly due to rounding. Office for National Statistics 50 Health Statistics Quar terly 01 Table 1.3 Population: subnational Numbers (thousands) and percentage age distribution Mid-year Spring 1999 Health Regional Office areas of England* Northern and Yorkshire + Trent + Anglia and Oxford North Thames South Thames South and West West Midlands North West Estimates 1971 1976 1981 1986 1991 1992 6,482 6,512 6,238 6,207 6,285 6.309 4,483 4,557 4,921 4,945 5,035 5,060 4,272 4,531 4,745 4,979 5,174 5,206 6,914 6,695 6,598 6,652 6,744 6,766 6,642 6,567 6,489 6,567 6,679 6,696 5,569 5,789 5,988 6,224 6,426 6,459 5,146 5,178 5,187 5,197 5,265 5,278 6,903 6,832 6,657 6,570 6,600 6,603 1993 1994 1995 1996 1997 6,323 6,332 6,337 6,338 6,336 5,081 5,096 5,109 5,121 5,128 5,226 5,261 5,315 5,361 5,410 6,795 6,830 6,872 6,934 6,988 6,715 6,749 6,782 6,819 6,865 6,486 6,529 6,569 6,594 6,639 5,290 5,295 5,306 5,317 5,321 6,617 6,616 6,614 6,605 6,598 6.1 14.4 40.4 20.6 11.3 7.1 6.1 14.1 40.3 20.9 11.3 7.3 6.4 14.3 41.5 20.8 10.2 6.8 6.9 13.8 44.1 19.2 9.6 6.5 6.4 13.5 41.6 20.1 10.6 7.9 5.8 13.7 39.1 21.1 11.8 8.6 6.4 14.6 40.0 20.9 11.1 7.0 6.3 14.9 40.2 20.6 11.0 7.1 6,365 6,382 6,405 6,435 6,464 5,184 5,232 5,277 5,324 5,371 5,568 5,747 5,906 6,057 6,198 7,088 7,220 7,352 7,487 7,614 6,955 7,077 7,198 7,326 7,455 6,786 6,958 7,122 7,291 7,456 5,343 5,358 5,372 5,391 5,411 6,582 6,553 6,530 6,521 6,515 4.5 12.8 37.6 26.6 12.8 8.6 4.4 12.7 37.4 23.7 12.9 8.9 4.6 13.1 37.8 23.6 12.5 8.5 5.1 13.4 40.8 22.8 10.8 7.1 4.7 12.9 38.3 23.5 12.0 8.6 4.2 12.2 35.8 23.7 13.9 10.3 4.6 13.3 37.1 23.5 12.8 8.7 4.6 13.2 37.8 23.5 12.5 8.4 of which (percentages) 0–4 5–15 16–44 45–64M/59F 65M/60F–74 75 and over Projections≠ 2001 2006 2011 2016 2021 of which (percentages) 0–4 5–15 16–44 45–64† 65–74† 75 and over * Areas as constituted in 1996. Population figures for years before 1981 may relate to different areas where boundaries have changed. ≠ These projections are based on the mid-1996 population estimates. + From 1 April 1996 boundary changes due to local government reorganisation have led to changes in the constitution of the Northern and Yorkshire and Trent Regional Office areas. South Humber Health Authority with 311.3 thousand people – mid-1996 is now included in the Trent Regional Office area rather than in the Northern and Yorkshire area. † Between 2010 and 2020, state retirement age will change from 65 years for men and 60 years for women, to 65 years for both sexes. Note: Figures may not add exactly because of rounding. 51 Office f or National Statistics Health Statistics Quar terly 01 Table 1.4 Spring 1999 Population: subnational Numbers (thousands) and percentage age distribution Mid-year Government Office Regions of England* North East North West and Merseyside North West Merseyside Yorkshire and the Humber East Midlands West Midlands Eastern London South East South West Estimates 1971 1976 1981 1986 1991 1992 2,679 2,671 2,636 2,601 2,603 2,609 7,108 7,043 6,940 6,852 6,885 6,890 5,446 5,457 5,418 5,381 5,436 5,444 1,662 1,586 1,522 1,471 1,450 1.446 4,902 4,924 4,918 4,906 4,983 5,002 3,652 3,774 3,853 3,919 4,035 4,062 5,146 5,178 5,187 5,197 5,265 5,278 4,454 4,672 4,854 5,012 5,150 5,175 7,529 7,089 6,806 6,803 6,890 6,905 6,830 7,029 7,245 7,492 7,679 7,712 4,112 4,280 4,381 4,560 4,718 4,746 1993 1994 1995 1996 1997 2,612 2,610 2,605 2,600 2,594 6,903 6,902 6,900 6,891 6,885 5,462 5,468 5,473 5,471 5,471 1,441 1,434 1,427 1,420 1,413 5,014 5,025 5,029 5,036 5,037 4,083 4,102 4,124 4,141 4,156 5,290 5,295 5,306 5,317 5,321 5,193 5,223 5,257 5,293 5,334 6,933 6,968 7,007 7,074 7,122 7,737 7,784 7,847 7,895 7,959 4,768 4,798 4,827 4,842 4,876 6.0 14.5 40.3 20.6 11.7 6.9 6.2 14.8 40.1 20.6 11.0 7.1 6.3 14.8 40.1 20.8 10.9 7.1 6.1 15.0 40.3 19.9 11.5 7.2 6.3 14.4 40.6 20.4 11.0 7.3 6.1 14.2 40.3 21.1 11.1 7.2 6.4 14.6 40.0 20.9 11.1 7.0 6.3 13.9 40.3 21.1 11.0 7.4 7.1 13.6 46.1 18.2 8.9 6.2 6.2 13.9 40.4 21.0 10.8 7.8 5.8 13.5 38.5 21.1 12.1 9.0 2,579 2,555 2,536 2,521 2,509 6,871 6,843 6,820 6,813 6,808 5,485 5,490 5,947 5,514 5,530 1,386 1,353 1,323 1,299 1,278 5,071 5,098 5,130 5,165 5,200 4,234 4,312 4,384 4,455 4,523 5,343 5,358 5,372 5,391 5,411 5,448 5,582 5,702 5,823 5,941 7,215 7,337 7,470 7,609 7,736 8,134 8,344 8,534 8,722 8,905 4,977 5,098 5,213 5,333 5,452 4.4 12.7 37.3 23.9 13.1 8.6 4.6 13.2 37.6 23.6 12.6 8.5 4.6 13.2 37.6 23.6 12.6 8.4 4.5 13.1 37.8 23.2 12.7 8.7 4.5 12.9 38.0 23.5 12.5 8.5 4.4 12.8 37.3 23.7 12.9 8.8 4.6 13.3 37.1 23.5 12.8 8.7 4.5 13.0 36.7 23.5 13.1 9.3 5.3 13.3 43.1 22.6 9.7 6.1 4.5 12.9 37.0 23.7 12.7 9.2 4.1 12.1 35.1 23.9 14.3 10.7 of which (percentages) 0–4 5–15 16–44 45–64M/59F† 65M/60F–74† 75 and over Projections≠ 2001 2006 2011 2016 2021 of which (percentages) 0–4 5–15 16–44 45–64† 65–74† 75 and over * See map on page 71. ≠ These projections are based on the 1996 population estimates. † Between 2010 and 2020, state retirement age will change from 65 years for men and 60 years for women, to 65 years for both sexes. Note: Figures may not add exactly because of rounding. Office for National Statistics 52 Health Statistics Quar terly 01 Table 1.5 Population: age and sex Numbers (thousands) Spring 1999 Constituent countries of the United Kingdom Age group Mid-year All ages United Kingdom Persons 1971 1976 1981 1986 1991 1992 1993 1994 1995 1996 1997 55,928 56,216 56,352 56,852 57,808 58,006 58,191 58,395 58,606 58,801 59,009 Males 1971 1976 1981 1986 1991 1992 1993 1994 1995 1996 1997 Females 1971 1976 1981 1986 1991 1992 1993 1994 1995 1996 1997 Under 1 1–4 5–14 15–24 25–34 35–44 45–59 60–64 65–74 75–84 85–89 90 and over Under 16 16– 64/59 65/60 and over 899 677 730 749 794 787 759 759 734 719 736 3,654 3,043 2,725 2,893 3,092 3,124 3,129 3,117 3,102 3,044 2,977 8,916 9.176 8,147 7,163 7,175 7,289 7,417 7,483 7,526 7,595 7,665 8,144 8.126 9,019 9.283 8,247 7,969 7,723 7,554 7,450 7,325 7,219 6,971 7,868 8,010 8,048 9,057 9,199 9,295 9,375 9,409 9,420 9,362 6,512 6,361 6,774 7,717 7,955 7,818 7,787 7,837 7,931 8,093 8,296 10,202 9,836 9,540 9,210 9,500 9,814 10,070 10,277 10,445 10,582 10,702 3,222 3,131 2,935 3,067 2,888 2,868 2,839 2,808 2,784 2,772 2,783 4,764 5,112 5,195 5,017 5,067 5,104 5,169 5,223 5,127 5,058 5,006 2,159 2,348 2,675 2,986 3,136 3,100 3,020 2,952 3,054 3,125 3,175 358 390 428 516 639 662 688 703 719 728 732 127 147 174 203 257 274 294 308 325 339 356 14,257 13,797 12,541 11,679 11,741 11,850 11,965 12,075 12,106 12,098 12,104 32,548 32,757 33,780 34,846 35,469 35,533 35,589 35,689 35,848 36,035 36,214 9,123 9,663 10,031 10,328 10,597 10,623 10,637 10,630 10,652 10,668 10,691 27,167 27,360 27,409 27,698 28,246 28,362 28,474 28,592 28,727 28,856 28,990 461 348 374 384 407 403 389 389 376 369 377 1,874 1,564 1,399 1,484 1,588 1,602 1,603 1,596 1,589 1,560 1,526 4,576 4,711 4,184 3,682 3,688 3,744 3,808 3,840 3,861 3,897 3,932 4,137 4,145 4,596 4,747 4,227 4,087 3,965 3,879 3,825 3,760 3,705 3,530 3,981 4,035 4,063 4,591 4,670 4,723 4,767 4,793 4,805 4,780 3,271 3,214 3,409 3,871 3,986 3,917 3,904 3,929 3,984 4,072 4,182 4,970 4,820 4,711 4,572 4,732 4,889 5,017 5,118 5,201 5,270 5,329 1,507 1,466 1,376 1,462 1,390 1,384 1,374 1,363 1,358 1,355 1,361 1,999 2,204 2,264 2,205 2,272 2,297 2,333 2,363 2,330 2,310 2,299 716 775 921 1,063 1,151 1,143 1,117 1,096 1,147 1,185 1,215 97 101 105 128 167 176 186 193 201 206 211 29 31 35 38 47 51 55 58 62 67 71 7,318 7,083 6,438 5,999 6,033 6,084 6,140 6,194 6,208 6,205 6,298 17,008 17.167 17,646 18,266 18,576 18,611 18,642 18,687 18,779 18,882 18,984 2,841 3,111 3,325 3,433 3,637 3,666 3,692 3,710 3,740 3,768 3,796 28,761 28,856 28,943 29,153 29,562 29,645 29,718 29,803 29,878 29,946 30,019 437 330 356 365 387 384 370 370 358 350 359 1,779 1,479 1,326 1,409 1,505 1,522 1,526 1,521 1,513 1,484 1,450 4,340 4,465 3,963 3,480 3,487 3,545 3,609 3,643 3,665 3,698 3,733 4,008 3,7980 4,423 4,536 4,021 3,882 3,758 3,674 3,625 3,565 3,514 3,441 3,887 3,975 3,986 4,466 4,530 4,572 4,608 4,616 4,615 4,581 3,241 3,147 3,365 3,846 3,968 3,900 3,883 3,908 3,947 4,020 4,114 5,231 5,015 4,829 4,638 4,769 4,925 5,054 5,159 5,244 5,312 5,374 1,715 1,665 1,559 1,605 1,498 1,484 1,466 1,444 1,427 1,418 1,422 2,765 2,908 2,931 2,813 2,795 2,807 2,836 2,861 2,797 2,748 2,707 1,443 1,573 1,755 1,923 1,986 1,957 1,903 1,856 1,907 1,940 1,960 261 289 322 388 472 486 502 510 518 522 521 97 116 139 164 210 223 239 249 262 273 285 6,938 6,714 6,103 5,679 5,708 5,766 5,826 5,881 5,898 5,893 5,895 15,540 15,590 16,134 16,580 16,893 16,922 16,946 17,002 17,069 17,153 17,229 6,282 6,552 6,706 6,894 6,961 6,957 6,946 6,920 6,911 6,900 6,894 England and Wales Persons 1971 49,152 1976 49,459 1981 49,634 1986 50,162 1991 51,100 1992 51,277 1993 51,439 1994 51,621 1995 51,820 1996 52,010 1997 52,211 782 585 634 655 702 694 670 671 649 636 651 3,170 2,642 2,372 2,528 2,728 2,760 2,764 2,752 2,739 2,688 2,632 7,705 7,967 7,085 6,243 6,281 6,385 6,504 6,568 6,613 6,683 6,751 7,117 7,077 7,873 8,134 7,237 6,985 6,768 6,612 6,521 6,411 6,332 6,164 6,979 7,086 7,088 8,008 8,137 8,219 8,293 8,329 8,342 8,290 5,736 5,608 5,996 6,863 7,056 6,924 6,887 6,925 7,003 7,146 7,325 9,034 8,707 8,433 8,136 8,407 8,695 8,929 9,118 9,272 9,397 9,503 2,853 2,777 2,607 2,725 2,553 2,534 2,507 2,478 2,458 2,447 2,456 4,228 4,540 4,619 4,470 4,506 4,538 4,596 4,644 4,554 4,490 4,440 1,926 2,093 2,388 2,673 2,810 2,777 2,704 2,642 2,734 2,800 2,844 323 351 383 465 576 598 623 636 651 658 661 115 135 157 184 233 249 268 281 297 311 327 12,334 11,973 10,910 10,190 10,303 10,407 10,515 10,618 10,653 10,655 10,672 28,710 28,894 29,796 30,759 31,351 31,402 31,445 31,530 31,676 31,851 32,018 8,108 8,593 8,928 9,213 9,446 9,467 9,480 9,473 9,491 9,505 9,522 Males 1971 1976 1981 1986 1991 1992 1993 1994 1995 1996 1997 23,897 24,089 24,160 24,456 24,995 25,099 25,198 25,304 25,433 25,557 25,684 402 300 324 336 360 356 343 344 333 327 334 1,626 1,358 1,218 1,297 1,401 1,416 1,416 1,410 1,403 1,378 1,350 3,957 4,091 3,639 3,211 3,231 3,282 3,341 3,371 3,394 3,430 3,463 3,615 3,610 4,011 4,156 3,710 3,583 3,476 3,396 3,348 3,291 3,249 3,129 3,532 3,569 3,579 4,065 4,137 4,184 4,225 4,252 4,265 4,243 2,891 2,843 3,024 3,445 3,539 3,472 3,456 3,475 3,523 3,602 3,700 4,414 4,280 4,178 4,053 4,199 4,343 4,458 4,551 4,626 4,689 4,740 1,337 1,304 1,227 1,302 1,234 1,228 1,218 1,209 1,204 1,201 1,206 1,778 1,963 2,020 1,972 2,027 2,049 2,082 2,109 2,078 2,059 2,048 637 690 825 954 1,035 1,028 1,004 985 1,032 1,066 1,094 86 91 94 115 151 160 170 175 183 188 192 26 29 32 35 43 46 51 53 57 61 66 6,334 6,148 5,601 5,236 5,296 5,346 5,397 5,448 5,465 5,466 5,475 15,036 15,169 15,589 16,143 16,442 16,470 16,495 16,533 16,619 16,716 16,810 2,527 2,773 2,970 3,076 3,257 3,283 3,306 3,323 3,349 3,375 3,399 Females 1971 1976 1981 1986 1991 1992 1993 1994 1995 1996 1997 25,255 25,370 25,474 25,706 26,104 26,178 26,241 26,317 26,387 26,453 26,527 380 285 310 319 342 339 326 327 316 310 317 1,544 1,284 1,154 1,231 1,328 1,345 1,348 1,342 1,335 1,310 1,282 3,749 3,876 3,446 3,032 3,050 3,104 3,163 3,197 3,219 3,253 3,287 3,502 3,467 3,863 3,978 3,527 3,403 3,293 3,216 3,172 3,120 3,083 3,036 3,447 3,517 3,509 3,943 4,001 4,035 4,069 4,076 4,077 4,046 2,845 2,765 2,972 3,418 3,517 3,452 3,431 3,449 3,480 3,544 3,625 4,620 4,428 4,255 4,083 4,208 4,352 4,471 4,567 4,646 4,709 4,763 1,516 1,473 1,380 1,422 1,319 1,306 1,289 1,270 1,254 1,246 1,250 2,450 2,577 2,599 2,498 2,479 2,488 2,514 2,536 2,477 2,430 2,392 1,289 1,403 1,564 1,718 1,775 1,749 1,700 1,656 1,702 1,733 1,750 236 261 289 349 425 439 453 461 468 471 470 89 106 126 149 191 203 218 228 240 250 262 6,000 5,826 5,309 4,953 5,007 5,062 5,117 5,170 5,188 5,188 5,196 13,673 13,725 14,207 14,616 14,908 14,932 14,950 14,997 15,058 15,134 15,208 5,581 5,820 5,958 6,137 6,189 6,184 6,173 6,150 6,141 6,130 6,123 53 Office f or National Statistics Health Statistics Quar terly 01 Table 1.5 continued Spring 1999 Population: age and sex Numbers (thousands) Constituent countries of the United Kingdom Age group Mid-year All ages Under 1 1–4 5–14 15–24 25–34 35–44 45–59 60–64 65–74 75–84 85–89 90 and over Under 16 16– 64/59 65/60 and over England Persons 1971 1976 1981 1986 1991 1992 1993 1994 1995 1996 1997 46,412 46,660 46,821 47,342 48,208 48,378 48,533 48,707 48,903 49,089 49,284 739 551 598 618 663 657 633 634 615 603 616 2,996 2,491 2,235 2,385 2,574 2,606 2,611 2,601 2,589 2,543 2,490 7,272 7,513 6,678 5,885 5,916 6,014 6,125 6,186 6,231 6,298 6,364 6,731 6,688 7,440 7,692 6,840 6,601 6,394 6,246 6,158 6,054 5,980 5,840 6,599 6,703 6,717 7,599 7,724 7,803 7,873 7,909 7,922 7,873 5,421 5,298 5,663 6,484 6,665 6,541 6,508 6,545 6.622 6,761 6,933 8,515 8,199 7,948 7,672 7,920 8,193 8,415 8,593 8,738 8,856 8,956 2,690 2,616 2,449 2,559 2,399 2,381 2,356 2,329 2,310 2,299 2,308 3,976 4,274 4,347 4,199 4,222 4,252 4,308 4,355 4,270 4,210 4,164 1,816 1,972 2,249 2,518 2,645 2,612 2,541 2,481 2,568 2,629 2,670 306 332 362 438 543 564 587 600 613 620 623 109 127 149 174 220 235 253 265 280 293 308 11,648 11,293 10,285 9,608 9,711 9,811 9,913 10,012 10,048 10,053 10,071 27,128 27,275 28,133 29,070 29,627 29,678 29,720 29,803 29,946 30,114 30,275 7,636 8,092 8,403 8,665 8,870 8,889 8,899 8,893 8,909 8,922 8,939 Males 1971 1976 1981 1986 1991 1992 1993 1994 1995 1996 1997 22,569 22,728 22,795 23,086 23,588 23,688 23,782 23,882 24,008 24,129 24,251 380 283 306 317 340 337 325 326 315 309 316 1,537 1,280 1,147 1.224 1,322 1,336 1,338 1,332 1,327 1,304 1,278 3,734 3,858 3,430 3,026 3,043 3,091 3,146 3,175 3,198 3,233 3,265 3,421 3,413 3,790 3,931 3,507 3,385 3,282 3,207 3,160 3,106 3,067 2,965 3,339 3,377 3,392 3,859 3,928 3,974 4,012 4,039 4,051 4,030 2,733 2,686 2,856 3,255 3,344 3,281 3,267 3,286 3,333 3,410 3,504 4,161 4,031 3,938 3,822 3,957 4,093 4,202 4,289 4,360 4,420 4,468 1,261 1,228 1,154 1,224 1,159 1,154 1,145 1,136 1,132 1,129 1,134 1,671 1,849 1,902 1,853 1,900 1,920 1,951 1,977 1,948 1,931 1,921 599 649 777 900 975 968 945 926 969 1,002 1,027 107 85 89 109 143 151 160 166 173 177 181 25 27 30 33 41 44 48 50 54 58 62 5,982 5,798 5,280 4,937 4,991 5,039 5,089 5,137 5,155 5,158 5,168 14,209 14,320 14,717 15,254 15,539 15,566 15,590 15,626 15,709 15,803 15,893 2,377 2,610 2,798 2,895 3,058 3,082 3,103 3,119 3,144 3,167 3,191 Females 1971 1976 1981 1986 1991 1992 1993 1994 1995 1996 1997 23,843 23,932 24,026 24,257 24,620 24,691 24,751 24,825 24,896 24,960 25,033 359 269 292 301 324 320 309 309 300 293 300 1,459 1,211 1,088 1,161 1,253 1,270 1,273 1,268 1,262 1,239 1,213 3,538 3,656 3,248 2,859 2,873 2,923 2,979 3,010 3,033 3,065 3,099 3,310 3,275 3,650 3,761 3,333 3,215 3,111 3,039 2,998 2,948 2,913 2,875 3,260 3,327 3,325 3,739 3,795 3,829 3,862 3,871 3,872 3,843 2,688 2,612 2,807 3,229 3,322 3,260 3,241 3,259 3,289 3,351 3,429 4,354 4,168 4,009 3,850 3,964 4,100 4,212 4,304 4,378 4,437 4,488 1,429 1,387 1,295 1,335 1,239 1,227 1,211 1,193 1,178 1,170 1,174 2,305 2,425 2,445 2,346 2,323 2,332 2,357 2,378 2,322 2,279 2,244 1,217 1,323 1,472 1,618 1,670 1,644 1,597 1,555 1,598 1,627 1,643 309 246 273 330 400 413 427 434 441 443 442 85 100 119 141 179 191 205 214 226 235 246 5,666 5,495 5,004 4,671 4,720 4,772 4,824 4,874 4,893 4,894 4,903 12,918 14,968 13,416 13,816 14,088 14,112 14,131 14,177 14,237 14,311 14,382 5,259 5,481 5,605 5,770 5,812 5,807 5,796 5,774 5,765 5,755 5,748 Wales Persons 1971 1976 1981 1986 1991 1992 1993 1994 1995 1996 1997 2,740 2,799 2,813 2,820 2,891 2,899 2,906 2,913 2,917 2,921 2,927 43 33 36 37 39 38 36 36 35 34 35 173 151 136 143 154 154 153 151 149 145 141 433 453 407 358 365 372 379 382 383 385 387 386 388 434 441 397 385 375 367 363 357 352 325 379 383 371 409 413 416 420 420 420 417 315 309 333 378 391 383 379 379 380 385 392 519 509 485 464 486 501 514 525 534 541 547 164 161 158 166 154 152 151 149 148 148 148 252 267 272 271 284 286 288 289 284 280 276 110 121 139 155 165 165 163 161 166 171 174 16 19 21 26 33 34 36 36 37 38 39 6 7 8 10 13 14 15 16 17 18 19 686 680 626 582 592 596 602 606 605 602 601 1,582 1,618 1,663 1,690 1,724 1,724 1,725 1,727 1,730 1,737 1,743 472 501 525 548 576 578 580 580 581 582 583 Males 1971 1976 1981 1986 1991 1992 1993 1994 1995 1996 1997 1,329 1,361 1,365 1,370 1,407 1,411 1,417 1,422 1,425 1,428 1,433 22 17 18 19 20 19 19 19 18 17 18 89 78 70 73 79 79 78 77 76 74 72 222 233 209 185 188 191 195 196 196 197 198 194 197 221 225 203 198 193 190 188 185 182 164 193 193 187 206 208 210 213 214 214 214 158 157 168 190 195 191 189 189 190 192 196 253 249 240 231 242 250 256 262 266 269 272 76 75 73 79 74 74 73 72 72 72 72 107 114 118 119 128 129 131 131 130 128 127 38 41 48 54 60 60 60 60 62 65 67 6 5 5 7 8 9 9 10 10 10 11 1 2 2 2 2 3 3 3 4 4 4 352 350 321 300 305 306 309 311 310 308 308 827 849 871 889 904 904 905 907 910 913 917 150 162 173 181 199 201 203 204 206 207 208 Females 1971 1976 1981 1986 1991 1992 1993 1994 1995 1996 1997 1,412 1,438 1,448 1,450 1,484 1,488 1,490 1,491 1,491 1,493 1,494 21 16 18 18 19 19 18 18 17 16 17 85 73 66 70 75 75 75 74 73 71 69 211 220 199 173 177 181 185 186 187 188 189 191 191 213 217 194 187 181 177 175 172 170 161 187 190 184 203 205 206 207 206 206 204 157 153 165 188 195 192 190 190 190 193 196 265 260 246 233 244 252 258 263 268 272 275 88 86 85 87 80 79 78 77 76 76 76 146 152 154 152 156 157 157 158 154 151 148 73 80 91 101 105 105 103 101 104 106 107 16 14 16 20 25 25 26 27 27 28 28 4 6 6 8 11 12 13 13 14 15 15 335 330 305 282 288 290 293 295 295 294 293 755 770 791 800 820 820 819 820 820 824 826 322 339 352 367 377 377 377 376 376 375 375 Office for National Statistics 54 Health Statistics Quar terly 01 Table 1.5 continued Population: age and sex Numbers (thousands) Spring 1999 Constituent countries of the United Kingdom Age group Mid-year All ages Under 1 1–4 5–14 15–24 25–34 35–44 45–59 60–64 65–74 75–84 85–89 90 and over Under 16 16– 64/59 65/60 and over Scotland Persons 1971 1976 1981 1986 1991 1992 1993 1994 1995 1996 1997 5,236 5,233 5,180 5,123 5,107 5,111 5,120 5,132 5,137 5,128 5,123 86 67 69 66 66 67 64 63 61 59 60 358 291 249 257 259 260 260 261 261 255 247 912 904 780 657 634 641 648 651 649 647 649 781 806 875 870 754 727 705 690 677 663 651 617 692 724 742 809 817 825 829 827 821 809 612 591 603 665 699 692 694 703 715 728 744 926 897 880 849 853 873 888 902 911 919 924 294 282 260 273 265 264 262 260 258 256 255 430 460 460 435 441 445 451 456 450 446 443 183 202 232 251 259 256 249 243 250 255 259 29 31 35 41 50 51 52 53 55 56 56 9 11 14 15 19 20 21 21 22 23 24 1,440 1,352 1,188 1,063 1,023 1,025 1,032 1,038 1,036 1,028 1,021 2,986 3,023 3,110 3,171 3,174 3,174 3,176 3,183 3,187 3,185 3,185 810 858 882 889 910 912 912 911 914 915 917 Males 1971 1976 1981 1986 1991 1992 1993 1994 1995 1996 1997 2,516 2,517 2,495 2,474 2,470 2,473 2,479 2,486 2,489 2,486 2,484 44 34 35 34 34 34 33 32 31 30 31 184 149 128 131 133 133 133 133 133 130 126 467 463 400 337 325 328 332 333 332 331 332 394 408 445 445 385 371 360 353 346 339 333 306 347 364 375 407 412 415 418 416 413 407 299 290 298 332 348 344 345 350 356 362 371 440 429 424 410 415 426 434 441 446 450 453 134 128 118 127 124 124 123 122 121 121 121 176 193 194 184 192 194 197 200 198 197 196 60 65 77 86 91 90 88 86 90 92 95 8 8 8 10 12 13 13 14 14 15 15 2 2 3 3 3 4 4 4 4 4 5 738 693 610 545 524 525 528 531 530 526 522 1,530 1,556 1,603 1,647 1,646 1,646 1,648 1,651 1,653 1,651 1,651 247 269 282 283 299 301 302 304 307 309 311 Females 1971 1976 1981 1986 1991 1992 1993 1994 1995 1996 1997 2,720 2,716 2,685 2,649 2,637 2,638 2,642 2,646 2,647 2,642 2,638 42 32 33 32 32 33 32 31 30 29 29 174 142 121 126 126 126 127 128 128 125 121 445 440 380 320 309 313 316 318 317 316 317 387 398 430 425 369 356 345 337 331 324 318 311 345 359 368 402 406 409 412 411 408 403 313 301 305 334 351 348 349 353 359 366 374 485 468 456 439 437 447 454 461 465 469 471 160 154 142 146 141 141 139 138 136 135 135 254 267 265 250 249 251 254 256 252 249 247 122 137 155 165 168 165 161 157 160 163 164 20 23 27 32 37 38 39 40 40 41 41 7 8 11 12 16 16 17 17 18 19 19 701 659 579 518 499 500 504 507 506 502 498 1,455 1,468 1,506 1,525 1,528 1,527 1,528 1,532 1,534 1,534 1,534 563 589 600 606 611 611 609 607 607 606 605 Northern Ireland Persons 1971 1,540 1976 1,524 1981 1,538 1986 1,567 1991 1,601 1992 1,618 1993 1,632 1994 1,642 1995 1,649 1996 1,663 1997 1,675 31 26 27 28 26 26 25 25 24 24 25 126 111 104 108 104 104 105 104 102 101 99 299 306 282 262 260 263 265 265 264 264 265 247 243 271 280 256 256 250 251 252 251 236 189 198 200 218 240 245 251 253 253 257 262 165 163 175 189 200 202 205 209 213 218 227 243 231 227 225 241 247 253 257 261 266 275 74 73 68 69 70 70 70 70 69 69 72 106 111 116 113 119 121 123 123 123 123 123 51 53 55 62 67 67 67 68 69 71 72 7 8 9 10 12 13 13 13 14 14 14 2 2 4 4 5 5 5 5 5 5 5 483 471 442 426 415 417 419 419 417 416 412 853 840 874 915 945 957 968 976 985 999 1,011 205 212 221 226 241 244 246 246 247 249 252 Males 1971 1976 1981 1986 1991 1992 1993 1994 1995 1996 1997 755 754 754 768 781 791 797 802 805 812 821 16 13 14 14 13 13 13 12 12 12 13 64 58 53 55 54 53 54 53 52 51 51 152 157 145 134 133 134 135 136 135 136 136 127 127 140 146 132 132 129 130 130 129 123 95 102 102 109 119 121 124 125 125 127 130 81 81 87 94 100 101 102 104 105 108 112 116 111 109 109 118 121 124 126 128 131 136 36 34 32 32 32 32 33 33 32 33 34 45 47 50 48 52 53 54 54 54 54 55 19 19 20 22 24 24 25 25 26 26 27 2 3 3 3 3 3 3 4 4 4 4 1 0 1 1 1 1 1 1 1 1 1 246 242 227 218 213 214 214 214 214 213 211 441 442 454 476 487 495 500 504 508 515 523 67 70 73 74 81 82 83 83 84 85 86 Females 1971 1976 1981 1986 1991 1992 1993 1994 1995 1996 1997 786 769 783 798 820 828 835 840 844 851 854 15 13 13 13 13 13 12 12 12 12 12 62 53 51 52 51 51 51 51 50 49 48 147 149 137 128 127 128 129 129 129 129 129 119 116 130 133 125 124 121 121 122 121 113 95 96 98 108 121 124 127 128 128 130 132 84 81 88 95 100 101 103 105 107 111 115 126 120 118 116 123 126 129 131 133 135 139 39 38 37 37 38 38 38 37 36 36 37 61 64 66 64 67 68 69 69 69 69 68 32 33 36 40 43 43 43 43 44 45 46 5 6 7 7 9 9 10 10 10 10 11 2 2 3 3 4 4 4 4 4 4 4 237 229 215 208 203 204 204 205 203 203 200 411 398 420 439 457 463 468 472 477 484 487 138 143 148 152 160 162 163 163 163 164 166 55 Office f or National Statistics Health Statistics Quar terly 01 Table 1.6 Spring 1999 Population: age, sex and legal marital status Numbers (thousands) England and Wales Males Mid-year Single Married Divorced 16 and over 1971 1976 1981 1986 1991 1992 1993 1994 1995 1996 1997 4,173 4,369 5,013 5,673 6,024 6,089 6,147 6,221 6,345 6,482 6,622 12,522 12,511 12,238 11,886 11,745 11,663 11,580 11,492 11,415 11,339 11,256 187 376 611 919 1,200 1,269 1,342 1,413 1,480 1,543 1,604 16–19 1971 1976 1981 1986 1991 1992 1993 1994 1995 1996 1997 1,327 1,454 1,675 1,601 1,372 1,301 1,242 1,212 1,220 1,251 1,291 34 28 20 10 8 5 4 3 3 2 2 20–24 1971 1976 1981 1986 1991 1992 1993 1994 1995 1996 1997 1,211 1,167 1,420 1,794 1,764 1,760 1,742 1,699 1,658 1,597 1,536 25–29 1971 1976 1981 1986 1991 1992 1993 1994 1995 1996 1997 Females Widowed Total Single Married 682 686 698 695 731 732 732 730 729 728 726 17,563 17,941 18,559 19,173 19,699 19,753 19,801 19,855 19,968 20,091 20,209 3,583 3,597 4,114 4,613 4,822 4,871 4,906 4,958 5,058 5,171 5,292 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1,362 1,482 1,694 1,611 1,380 1,306 1,246 1,215 1,222 1,253 1,293 689 557 466 322 249 214 182 152 127 105 87 3 4 10 14 12 10 8 7 6 5 4 0 0 1 0 0 0 0 0 0 0 0 431 533 588 841 1,183 1,232 1,263 1,293 1,326 1,368 1,401 1,206 1,326 1,057 956 894 852 807 754 696 639 577 16 39 54 79 85 83 80 76 70 64 58 30–34 1971 1976 1981 1986 1991 1992 1993 1994 1995 1996 1997 206 236 318 356 535 596 662 732 799 855 903 1,244 1,338 1,451 1,200 1,206 1,202 1,194 1,187 1,177 1,155 1,125 35–44 1971 1976 1981 1986 1991 1992 1993 1994 1995 1996 1997 317 286 316 397 482 497 522 556 601 657 725 2,513 2,442 2,519 2,743 2,658 2,561 2,500 2,463 2,446 2,449 2,458 Total population Divorced Widowed Total 12,566 12,538 12,284 11,994 11,838 11,749 11,661 11,583 11,488 11,406 11,319 296 533 828 1,164 1,459 1,533 1,610 1,684 1,754 1,819 1,882 2,810 2,877 2,939 2,943 2,978 2,963 2,946 2,922 2,898 2,870 2,838 19,255 19,545 20,165 20,714 21,097 21,116 21,124 21,147 21,199 21,265 21,331 36,818 37,486 38,724 39,887 40,796 40,869 40,925 41,003 41,167 41,356 41,540 1,163 1,289 1,523 1,483 1,267 1,209 1,157 1,131 1,139 1,171 1,212 142 129 93 49 32 24 18 14 13 12 11 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1,305 1,419 1,616 1,533 1,300 1,233 1,175 1,145 1,152 1,183 1,224 2,666 2,901 3,310 3,144 2,680 2,539 2,421 2,360 2,374 2,436 2,517 1,904 1,728 1,896 2,130 2,025 1,984 1,933 1,858 1,791 1,707 1,628 745 725 1,007 1,382 1,421 1,434 1,432 1,416 1,404 1,369 1,333 1,113 925 811 658 490 434 381 330 282 238 204 9 16 27 32 29 26 23 20 17 15 12 2 2 2 1 1 1 1 1 0 0 0 1,869 1,667 1,847 2,072 1,941 1,895 1,838 1,767 1,703 1,622 1,549 3,773 3,395 3,744 4,203 3,966 3,879 3,770 3,625 3,495 3,329 3,177 1 2 1 1 1 1 1 1 1 1 1 1,654 1,900 1,700 1,877 2,163 2,169 2,152 2,124 2,092 2,071 2,037 215 267 331 527 800 848 880 908 936 977 1,014 1,367 1,522 1,247 1,204 1,158 1,112 1,062 1,011 947 887 818 29 65 89 113 123 124 124 122 116 109 101 4 5 4 4 2 2 2 2 2 2 2 1,614 1,859 1,671 1,847 2,083 2,087 2,069 2,044 2,002 1,975 1,935 3,267 3,758 3,372 3,724 4,246 4,256 4,220 4,168 4,094 4,045 3,972 23 55 97 125 160 167 174 179 182 181 177 3 3 3 2 2 2 2 2 2 2 3 1,475 1,632 1,869 1,683 1,903 1,968 2,032 2,100 2,160 2,194 2,207 111 118 165 206 335 375 418 467 518 560 598 1,269 1,388 1,544 1,292 1,330 1,336 1,338 1,340 1,333 1,316 1,287 34 75 129 154 189 198 205 213 218 221 222 8 8 9 6 5 5 5 5 5 5 5 1,422 1,588 1,846 1,658 1,859 1,914 1,967 2,025 2,075 2,103 2,111 2,897 3,220 3,715 3,341 3,762 3,882 3,999 4,126 4,235 4,296 4,318 48 104 178 293 388 403 423 444 464 483 503 13 12 12 12 12 11 12 12 12 13 13 2,891 2,843 3,024 3,444 3,539 3,472 3,456 3,475 3,523 3,602 3,700 201 167 170 213 280 295 316 343 374 414 459 2,529 2,427 2,540 2,816 2,760 2,669 2,612 2,587 2,568 2,575 2,593 66 129 222 350 444 456 473 491 509 527 545 48 42 41 39 34 32 31 29 29 28 28 2,845 2,765 2,972 3,419 3,517 3,452 3,431 3,449 3,480 3,544 3,625 5,736 5,608 5,996 6,863 7,056 6,924 6,887 6,925 7,003 7,146 7,325 Aged Note: Population estimates by marital status for 1971 and 1976 are based on the 1971 Census and those for 1981 and 1986 are based on the 1981 Census and have not been rebased using the 1991 Census. Office for National Statistics 56 Health Statistics Quar terly 01 Table 1.6 continued Population: age, sex and legal marital status Numbers (thousands) England England and andWales Wales Males Mid-year Spring 1999 Females Widowed Total Single Married Divorced Total population Single Married Divorced Widowed Total 45–64 1971 1976 1981 1986 1991 1992 1993 1994 1995 1996 1997 502 496 480 461 456 468 479 489 500 512 524 4,995 4,787 4,560 4,423 4,394 4,479 4,532 4,564 4,581 4,587 4,590 81 141 218 332 456 499 544 587 630 673 715 173 160 147 141 127 125 122 120 119 118 117 5,751 5,583 5,405 5,356 5,433 5,571 5,677 5,759 5,830 5,890 5,946 569 462 386 326 292 295 297 300 305 310 318 4,709 4,568 4,358 4,221 4,211 4,308 4,376 4,422 4,452 4,473 4,494 125 188 271 388 521 568 615 659 703 746 789 733 683 620 569 503 487 471 456 440 425 412 6,136 5,901 5,635 5,504 5,527 5,658 5,759 5,837 5,900 5,954 6,013 11,887 11,484 11,040 10,860 10,960 11,228 11,436 11,596 11,730 11,844 11,959 65 and over 1971 1976 1981 1986 1991 1992 1993 1994 1995 1996 1997 179 197 216 223 231 235 237 239 241 242 242 1,840 2,033 2,167 2,233 2,337 2,349 2,360 2,368 2,385 2,401 2,417 17 33 54 76 99 106 113 121 128 137 147 492 510 534 539 589 593 596 595 595 594 593 2,527 2,773 2,971 3,070 3,257 3,283 3,306 3,323 3,349 3,375 3,399 580 569 533 475 427 416 405 393 382 370 358 1,437 1,579 1,692 1,754 1,858 1,866 1,873 1,879 1,893 1,904 1,912 32 60 90 127 153 161 170 179 190 201 213 2,016 2,138 2,263 2,325 2,433 2,436 2,436 2,429 2,422 2,410 2,390 4,065 4,347 4,578 4,681 4,870 4,879 4,885 4,880 4,887 4,884 4,873 6,592 7,119 7,548 7,752 8,127 8,162 8,191 8,203 8,237 8,259 8,272 See note opposite. 57 Office f or National Statistics Health Statistics Quar terly 01 Table 2.1 Year and quarter Spring 1999 Vital statistics summary Numbers (thousands) and rates All live births Number Rate* Live births outside marriage Constituent countries of the United Kingdom Marriages Number Rate† Number Rate** Divorces Deaths Number Rate†† Number Rate* Infant mortality*** Number Neonatal mortality††† Rate† Number Rate† Perinatal mortality**** Number Rate†††† United Kingdom 1971 1976 1981 1986 1991 1992 901.6 675.5 730.8 755.0 792.5 781.0 16.1 12.0 13.0 13.3 13.7 13.5 73.9 61.1 91.3 158.5 236.1 240.8 82 90 125 210 298 308 459.4 406.0 397.8 393.9 349.7 356.0 .. .. 49.4 43.5 36.0 .. 79.6 135.4 156.4 168.2 173.5 175.1 .. .. 11.3 12.5 13.0 .. 645.1 680.8 658.0 660.7 646.2 634.2 11.5 12.1 11.7 11.6 11.3 10.9 16.2 9.79 8.16 7.18 5.82 5.14 17.9 14.5 11.2 9.5 7.4 6.6 10.8 6.68 4.93 4.00 3.46 3.37 12.0 9.9 6.7 5.3 4.4 4.3 20.7 12.3 8.79 7.31 6.45 6.01 22.6 18.0 12.0 9.6 8.1 7.7 1993 1994 1995 1996 1997 761.7 750.7 732.0 733.4 725.8 13.1 12.9 12.5 12.5 12.3 241.8 240.1 245.7 260.4 266.7 318 320 336 355 367 341.6 331.2 322.3 317.5‡ 308.7‡ .. .. .. .. .. 180.0 173.6 170.0 171.7‡ 161.1‡ .. .. .. .. .. 658.5 627.6 645.5 636.0 629.7‡ 11.3 10.7 11.0 10.8 10.7‡ 4.83 4.63 4.52 4.50 4.28 6.3 6.2 6.2 6.1 5.9 3.18 3.09 3.05 3.00 2.83 4.2 4.1 4.2 4.1 3.9 6.73 6.74 6.52 6.41 6.08 8.8 9.0 8.9 8.7 8.3 1996 Sept 1996 Dec 191.4 185.6 13.0 12.6 68.8 68.6 359 369 129.4‡ 55.8‡ .. .. 143.2 166.4 9.7 11.3 1.13 1.12 5.9 6.0 0.80 0.72 4.2 3.9 1.66 1.55 8.6 8.3 1997 March 1997 June 1997 Sept 1997 Dec 178.4 184.7 185.8 176.9 12.3 12.6 12.5 11.9 65.5 66.2 68.7 66.3 367 358 370 375 39.0‡ 86.8‡ 128.6‡ 54.3‡ .. .. .. .. 182.7‡ 146.6‡ 141.2‡ 159.3‡ 12.6‡ 10.0‡ 9.5‡ 10.7‡ 1.10 1.10 1.01 1.08 6.1 6.0 5.4 6.1 0.70 0.73 0.69 0.71 3.9 4.0 3.7 4.0 1.53 1.53 1.49 1.53 8.5 8.2 8.0 8.6 1998 March 1998 June 1998 Sept 175.6‡ 178.6‡ 12.1‡ 12.1‡ 166.7‡ 152.3‡ 142.8‡ 11.5‡ 10.3‡ 9.6‡ 1.02‡ 0.97‡ 5.8‡ 5.4‡ 0.67‡ 0.65‡ 3.8‡ 3.7‡ 1.51‡ 1.45‡ 8.5‡ 8.1‡ England and Wales 1971 783.2 1976 584.3 1981 634.5 1986 661.0 1991 699.2 1992 689.7 15.9 11.8 12.8 13.2 13.7 13.4 65.7 53.8 81.0 141.3 211.3 215.2 84 92 128 214 302 312 404.7 358.6 352.0 347.9 306.8 311.6 69.0 57.7 49.6 43.5 35.6 35.8 74.4 126.7 145.7 153.9 158.7 160.4 5.9 10.1 11.9 12.9 13.5 13.7 567.3 598.5 577.9 581.2 570.0 558.3 11.5 12.1 11.6 11.6 11.2 10.9 13.7 8.34 7.02 6.31 5.16 4.54 17.5 14.3 11.1 9.6 7.4 6.6 9.11 5.66 4.23 3.49 3.05 2.96 11.6 9.7 6.7 5.3 4.4 4.3 17.6 10.5 7.56 6.37 5.65 5.24 22.3 17.7 11.8 9.6 8.0 7.6 1993 1994 1995 1996 1997 673.5 664.7 648.1 649.5 642.1 13.1 12.9 12.5 12.5 12.3 216.5 215.5 219.9 232.7 237.9 322 324 339 358 370 299.2 291.1 283.0 279.0‡ 271.1‡ 33.9 32.6 31.0 30.0‡ 28.6‡ 165.0 158.2 155.5 157.1‡ 146.7‡ 14.2 13.7 13.6 13.8‡ 13.0‡ 578.8 553.2 569.7 560.1 555.3 11.3 10.7 11.0 10.8 10.6‡ 4.24 4.10 3.98 3.99 3.83 6.3 6.2 6.1 6.1 6.0 2.80 2.74 2.70 2.68 2.54 4.2 4.1 4.2 4.1 3.9 6.03 5.95 5.70 5.62 5.40 8.9 8.9 8.8 8.6 8.4 1996 Sept 1996 Dec 169.9 164.2 13.0 12.6 61.6 61.2 363 373 114.1‡ 47.9‡ 48.8‡ 20.5‡ 40.3‡ 34.8‡ 14.1‡ 12.2‡ 125.9 147.1 9.6 11.2 1.01 1.00 5.9 6.1 0.72 0.65 4.2 3.9 1.48 1.37 8.7 8.3 1997 March 1997 June 1997 Sept 1997 Dec 158.1 162.9 164.4 156.7 12.3 12.5 12.5 11.9 58.5 58.8 61.3 59.3 370 361 373 378 34.7‡ 76.4‡ 112.9‡ 47.1‡ 14.8‡ 32.3‡ 47.2‡ 19.7‡ 34.9‡ 39.6‡ 37.2‡ 35.0‡ 12.5‡ 14.1‡ 13.1‡ 12.3‡ 161.9 128.6 124.3 140.4 12.6 9.9 9.4 10.7 0.98 0.99 0.91 0.96 6.2 6.0 5.5 6.1 0.63 0.65 0.62 0.64 4.0 4.0 3.8 4.1 1.36 1.36 1.32 1.36 8.6 8.3 8.0 8.6 1998 March 1998 June 1998 Sept 155.4‡ 158.3‡ 165.8‡ 12.1‡ 12.2‡ 12.6‡ 58.4‡ 58.3‡ 63.1‡ 375‡ 368‡ 381‡ 146.9‡ 134.0‡ 125.6‡ 11.4‡ 10.3‡ 9.6‡ 0.93‡ 0.83‡ 6.0‡ 5.3‡ 0.60‡ 0.57‡ 3.9‡ 3.6‡ 1.34‡ 1.28‡ 8.6‡ 8.1‡ England 1971 1976 1981 1986 1991 1992 740.1 550.4 598.2 623.6 660.8 651.8 15.9 11.8 12.8 13.2 13.7 13.5 62.6 50.8 76.9 133.5 198.9 202.4 85 92 129 214 301 311 382.3 339.0 332.2 328.4 290.1 295.0 .. .. .. .. .. .. .. .. .. 146.0 150.1 151.5 .. .. .. .. .. .. 532.4 560.3 541.0 544.5 534.0 522.7 11.5 12.0 11.6 11.5 11.2 10.8 12.9 7.83 6.50 5.92 4.86 4.26 17.5 14.2 10.9 9.5 7.3 6.5 8.58 5.32 3.93 3.27 2.87 2.79 11.6 9.7 6.6 5.2 4.3 4.3 16.6 9.81 7.04 5.98 5.33 4.95 22.1 17.6 11.7 9.5 8.0 7.6 1993 1994 1995 1996 1997 636.5 629.0 613.2 614.2 607.2 13.1 13.0 12.5 12.5 12.3 203.6 202.7 206.8 218.2 223.0 320 322 337 355 367 283.3 275.5 268.3 264.2‡ 256.5‡ .. .. .. .. .. 156.1 149.6 147.5 148.7‡ 138.7‡ .. .. .. .. .. 541.1 517.6 532.6 524.0 519.1 11.1 10.6 10.9 10.7 10.5 4.00 3.83 3.74 3.74 3.60 6.3 6.1 6.1 6.1 5.9 2.65 2.57 2.55 2.53 2.39 4.2 4.1 4.2 4.1 3.9 5.70 5.58 5.41 5.36 5.11 8.9 8.8 8.8 8.7 8.4 1996 Sept 1996 Dec 160.7 155.1 13.0 12.6 57.8 57.4 360 370 108.0‡ 45.3‡ .. .. 38.0‡ 32.8‡ .. .. 117.6 135.3 9.5 11.0 0.94 0.94 5.8 6.0 0.68 0.62 4.2 4.0 1.42 1.31 8.8 8.4 1997 March 1997 June 1997 Sept 1997 Dec 149.3 154.2 155.5 148.2 12.3 12.6 12.5 11.9 54.8 55.1 57.6 55.5 367 358 370 374 32.8‡ 72.4‡ 106.7‡ 44.6‡ .. .. .. .. 33.0‡ 37.5‡ 35.1‡ 33.1‡ .. .. .. .. 151.5 120.1 116.1 131.4 12.5 9.8 9.3 10.6 0.91 0.91 0.86 0.91 6.1 5.9 5.5 6.1 0.58 0.61 0.60 0.61 3.9 3.9 3.8 4.1 1.29 1.28 1.26 1.28 8.6 8.2 8.0 8.6 1998 March 1998 June 1998 Sept 147.2‡ 150.0‡ 157.1‡ 12.1‡ 12.2‡ 12.6‡ 54.8‡ 54.8‡ 59.2‡ 372‡ 365‡ 377‡ 137.6‡ 125.4‡ 117.5‡ 11.3‡ 9.6‡ 8.9‡ 0.87‡ 0.77‡ 5.9‡ 5.2‡ 0.57‡ 0.54‡ 3.9‡ 3.6‡ 1.26‡ 1.21‡ 8.5‡ 8.0‡ * Per 1,000 population of all ages. † Per 1,000 live births. ** Persons marrying per 1,000 unmarried population 16 and over. †† Per 1,000 married population. *** Deaths under 1 year. ††† Deaths under 4 weeks. **** Stillbirths and deaths under 1 week. In October 1992 the legal definition of a stillbirth was changed, from baby born dead after 28 completed weeks of gestation or more, to one born dead after 24 completed weeks of gestation or more. †††† Per 1,000 live and stillbirths. ‡ Provisional. Office for National Statistics 58 Health Statistics Quar terly 01 Table 2.1 continued Year and quarter Vital statistics summary Numbers (thousands) and rates All live births Number Wales 1 971 Rate* Live births outside marriage Spring 1999 Constituent countries of the United Kingdom Marriages Number Rate† Number Rate** Divorces Number Deaths Rate†† Number Rate* Infant mortality*** Number Neonatal mortality††† Rate† Number Rate† Perinatal mortality**** Number Rate†††† 1976 1981 1986 1991 1992 43.1 33.4 35.8 37.0 38.1 37.5 15.7 11.9 12.7 13.1 13.2 12.9 3.1 2.9 4.0 7.8 12.3 12.8 71 86 112 211 323 340 22.4 19.5 19.8 19.5 16.6 16.6 .. .. .. .. .. .. .. .. .. 7.9 8.6 8.9 .. .. .. .. .. .. 34.8 36.3 35.0 34.7 34.1 33.8 12.7 13.0 12.4 12.3 11.8 11.7 0.79 0.46 0.45 0.35 0.25 0.23 18.4 13.7 12.6 9.5 6.6 6.0 0.53 0.32 0.29 0.21 0.16 0.14 12.3 9.6 8.1 5.6 4.1 3.8 1.07 0.64 0.51 0.38 0.30 0.26 24.4 19.0 14.1 10.3 7.9 7.0 1993 1994 1995 1996 1997 36.6 35.4 34.5 34.9 34.5 12.6 12.2 11.8 11.9 11.8 12.9 12.7 13.1 14.4 14.8 352 360 381 412 428 15.9 15.5 14.7 14.8‡ 14.5‡ .. .. .. 8.9 8.6 8.0 8.4‡ 8.0‡ .. .. .. .. .. 35.9 33.9 35.6 34.6 34.6 12.4 11.6 12.2 11.8 11.8 0.20 0.22 0.20 0.20 0.20 5.5 6.1 5.9 5.6 5.9 0.12 0.14 0.13 0.13 0.14 3.3 4.1 3.9 3.6 3.9 0.30 0.33 0.27 0.26 0.28 8.2 9.3 7.9 7.5 7.9 1996 Sept 1996 Dec 9.1 9.0 12.4 12.3 3.8 3.8 413 425 6.1‡ 2.5‡ .. .. 2.1‡ 2.0‡ .. .. 7.9 8.9 10.1 12.1 0.06 0.04 6.4 4.7 0.04 0.02 3.8 2.5 0.06 0.06 7.0 6.7 1997 March 1997 June 1997 Sept 1997 Dec 8.7 8.6 8.8 8.4 12.0 11.8 12.0 11.4 3.7 3.6 3.7 3.7 427 422 420 446 1.8‡ 4.0‡ 6.2‡ 2.5‡ .. .. .. .. 1.9‡ 2.1‡ 2.0‡ 1.9‡ .. .. .. .. 10.1 8.1 7.7 8.7 14.0 11.1 10.5 11.8 0.06 0.06 0.04 0.04 6.8 7.4 4.9 4.5 0.04 0.05 0.02 0.03 4.6 5.2 2.5 3.3 0.06 0.08 0.06 0.07 7.4 9.4 7.2 7.7 1998 March 1998 June 1998 Sept 8.3‡ 8.4‡ 8.8‡ 11.4‡ 11.4‡ 11.9‡ 3.6‡ 3.6‡ 3.9‡ 435‡ 428‡ 444‡ 12.5‡ 11.3‡ 10.5‡ 0.04‡ 0.04‡ 5.3‡ 5.3‡ 0.03‡ 0.03‡ 3.4‡ 3.7‡ 0.07‡ 0.07‡ 7.9‡ 8.5‡ 9.0‡ 8.3‡ 7.8 Scotland 1971 1976 1981 1986 1991 1992 86.7 64.9 69.1 65.8 67.0 65.8 16.6 12.5 13.4 12.9 13.1 12.9 7.0 6.0 8.5 13.6 19.5 20.0 81 93 122 206 291 303 42.5 37.5 36.2 35.8 33.8 35.1 64.1 53.8 47.5 42.8 38.7 39.9 4.8 8.1 9.9 12.8 12.4 12.5 3.9 6.5 8.0 10.7 10.6 10.7 61.6 65.3 63.8 63.5 61.0 60.9 11.8 12.5 12.3 12.4 12.0 11.9 1.72 0.96 0.78 0.58 0.47 0.45 19.9 14.8 11.3 8.8 7.1 6.8 1.17 0.67 0.47 0.34 0.29 0.30 13.5 10.3 6.9 5.2 4.4 4.6 2.15 1.20 0.81 0.67 0.58 0.60 24.5 18.3 11.6 10.2 8.6 9.0 1993 1994 1995 1996 1997 63.3 61.7 60.1 59.3 59.4 12.4 12.0 11.7 11.6 11.6 19.9 19.2 20.3 21.4 22.4 313 312 337 360 377 33.4 31.5 30.7 30.2 29.6 37.6 35.1 33.7 32.8 31.7 12.8 13.1 12.2 12.3 12.2 11.0 11.4 10.7 10.9 11.0 64.0 59.3 60.5 60.7 59.5 12.5 11.6 11.8 11.8 11.6 0.41 0.38 0.38 0.37 0.32 6.5 6.2 6.2 6.2 5.3 0.25 0.25 0.24 0.23 0.19 4.0 4.0 4.0 3.9 3.2 0.61 0.56 0.58 0.55 0.47 9.6 9.0 9.6 9.2 7.8 1996 Sept 1996 Dec 15.1 15.4 11.7 12.0 5.5 5.7 366 368 11.7 6.5 50.6 28.2 3.1 3.0 10.8 10.6 13.8 15.5 10.7 12.1 0.09 0.09 5.8 5.6 0.06 0.06 3.9 3.8 0.13 0.14 8.2 9.1 1997 March 1997 June 1997 Sept 1997 Dec 14.3 15.4 15.2 14.6 11.3 12.1 11.7 11.3 5.4 5.6 5.7 5.6 376 370 379 382 3.4 8.3 12.1 5.8 14.7 35.6 51.4 24.6 2.8 3.3 3.1 3.0 10.2 11.7 11.1 10.8 16.6 14.4 13.4 15.1 13.1 11.3 10.4 11.7 0.10 0.09 0.06 0.07 6.7 5.7 4.0 4.9 0.06 0.05 0.04 0.04 3.9 3.4 2.8 2.6 0.12 0.11 0.11 0.12 8.4 7.3 7.4 8.1 1998 March 1998 June 1998 Sept 14.2‡ 14.3‡ 11.2‡ 11.2‡ 3.5‡ 8.4‡ 11.9‡ 15.0‡ 35.9‡ 50.6‡ 15.7‡ 14.4‡ 13.6‡ 12.5‡ 11.3‡ 10.5‡ 0.06‡ 0.09‡ 4.2‡ 6.4‡ 0.04‡ 0.06‡ 2.8‡ 4.0‡ 0.12‡ 0.12‡ 8.1‡ 8.5‡ Northern Ireland 1971 1976 1981 1986 1991 1992 31.8 26.4 27.3 28.2 26.3 25.6 20.7 17.3 17.8 18.0 16.5 15.9 1.2 1.3 1.9 3.6 5.3 5.6 38 50 70 127 202 219 12.2 9.9 9.6 10.2 9.2 9.4 .. .. 45.4 .. 37.7 .. 0.3 0.6 1.4 1.5 2.3 2.3 .. .. 4.2 .. 6.8 .. 17.6 17.0 16.3 16.1 15.1 15.0 12.8 11.2 10.6 10.3 9.4 9.3 0.72 0.48 0.36 0.36 0.19 0.15 22.7 18.3 13.2 13.2 7.4 6.0 0.51 0.35 0.23 0.23 0.12 0.10 15.9 13.3 8.3 8.3 4.6 4.1 0.88 0.59 0.42 0.42 0.22 0.21 27.2 22.3 15.3 15.3 8.4 8.2 1993 1994 1995 1996 1997 24.9 24.3 23.9 24.6 24.3 15.3 14.9 14.5 14.8 14.5 5.5 5.4 5.5 6.4 6.4 219 220 231 259 266 9.0 8.7 8.6 8.3 8.1 .. .. .. .. .. 2.2 2.3 2.3 2.3 2.2 .. .. .. .. .. 15.6 15.1 15.3 15.2 15.0 9.6 9.2 9.3 9.1 9.0 0.18 0.15 0.17 0.14 0.14 7.1 6.1 7.1 5.8 5.6 0.12 0.10 0.13 0.09 0.10 4.9 4.2 5.5 3.7 4.2 0.22 0.24 0.25 0.23 0.21 8.8 9.7 10.4 9.4 8.6 1996 Sept 1996 Dec 6.4 6.0 14.4 14.8 1.6 1.6 251 271 3.6 1.4 .. .. 3.5 3.8 8.3 9.0 0.04 0.03 5.5 5.6 0.02 0.02 3.8 3.3 0.05 0.05 8.5 7.7 1997 March 1997 June 1997 Sept 1997 Dec 6.1 6.3 6.3 5.6 14.7 15.2 14.8 13.3 1.6 1.7 1.7 1.5 269 261 269 264 1.0 2.1 3.6 1.4 .. .. .. .. 4.2‡ 3.6‡ 3.4‡ 3.7‡ 10.2 8.7 8.2 8.9 0.02 0.05 0.04 0.05 3.6 4.9 5.7 8.6 0.02 0.02 0.03 0.03 3.1 3.6 4.2 6.1 0.05 0.06 0.05 0.06 7.6 8.8 8.1 10.3 1998 March 1998 June 1998 Sept 5.9‡ 6.1‡ 6.2‡ 14.3‡ 14.8‡ 14.7 1.7‡ 1.7‡ 1.8‡ 286‡ 272‡ 288‡ 4.1‡ 3.8‡ 3.4‡ 9.9 9.2 8.1 0.04‡ 0.04‡ 5.8‡ 7.1‡ 0.03‡ 0.03‡ 4.3‡ 4.4‡ 0.05‡ 0.05‡ 8.8‡ 7.7‡ Notes: 1. Rates for the most recent quarters will be particularly subject to revision, even when standard detail is given, as they are based on provisional numbers or on estimates derived from events registered in the period. 2. Figures for England and Wales represent the numbers of deaths registered in each year up to 1992, and the number of deaths occurring in each year from 1993. Provisional figures are registrations. 3.The marriage and divorce rates for 1991 onwards differ in part from those previously published because of a revision of the denominators. 4. From 1972 births for England and Wales are excluded if the mother was usually resident outside England and Wales, but included in the total for the United Kingdom. 5. From 1972 deaths for England and for Wales separately exclude deaths to persons usually resident outside England and Wales, but these deaths are included in the totals for England and Wales combined, and the United Kingdom. 59 Office f or National Statistics Health Statistics Quar terly 01 Table 2.2 Spring 1999 Key demographic and health indicators Numbers (thousands), rates, percentages, mean age Constituent countries of the United Kingdom Dependency ratio Population Live births Deaths Children* Elderly† Live births TPFR** Expectation of life (in years) at birth Outside marriage as percentage of total live births Mean age of mother at birth (years) Agestandardised mortality rate†† Males Females Infant mortality rate*** 68.8 69.6 70.8 71.9 73.2 73.4 73.7 73.9 74.1 74.2‡ 75.0 75.2 76.8 77.7 78.8 78.9 79.1 79.2 79.4 79.5‡ 17.9 14.5 11.2 9.5 7.4 6.6 8.3 6.2 6.2 6.1 5.9‡ 71.1 72.0 73.4 73.7 74.0 74.1 74.4 74.6 77.0 77.9 79.0 79.1 79.3 79.4 79.6 79.7 United Kingdom 1971 1976 1981 1986 1991 1992 1993 1994 1995 1996 1997 55,928.0 56,216.1 56,352.2 56,851.9 57,807.9 58,006.5 58,191.2 58,394.6 58,605.8 58,801.5 59,008.6 901.6 675.5 730.8 755.0 792.5 781.0 761.7 750.7 732.0 733.4 725.8 645.1 680.8 658.0 660.7 646.2 634.2 658.5 627.6 645.5 636.0 629.7 43.8 42.1 37.1 33.5 33.1 33.3 33.6 33.8 33.8 33.6 33.4 28.0 29.5 29.7 29.6 29.9 29.9 29.9 29.8 29.7 29.6 29.5 2.41 1.74 1.82 1.78 1.82 1.79 1.76 1.74 1.71 1.72 1.72 8.2 9.0 12.5 21.0 29.8 30.8 31.8 32.0 33.6 35.5 36.7 26.2 26.4 26.8 27.0 27.6 27.9 28.1 28.4 28.5 28.6 28.8 10,448 10,486 9,506 8,897 8,107 7,860 8,037 7,622 7,706 7,522 7,370 England 1971 1976 1981 1986 1991 1992 1993 1994 1995 1996 1997 46,411.7 46,659.9 46,820.8 47,342.4 48,208.1 48,378.3 48,532.7 48,707.5 48,903.4 49,089.1 49,284.2 740.1 550.4 598.2 623.6 660.8 651.8 636.5 629.0 613.2 614.2 607.2 532.4 560.3 541.0 544.5 534.0 522.7 541.1 517.6 532.6 524.0 519.1 42.9 41.4 36.4 33.1 32.8 33.1 33.4 33.6 33.6 33.4 33.3 28.1 29.7 29.9 29.8 29.9 30.0 29.9 29.8 29.8 29.6 29.5 2.37 1.70 1.79 1.87 1.81 1.79 1.76 1.74 1.71 1.73 1.72 8.5 9.2 12.9 21.4 30.1 31.1 32.0 32.2 33.7 35.5 36.7 26.4 26.8 27.0 27.7 27.9 28.1 28.4 28.6 28.7 28.2 10,278 10,271 9,298 8,694 7,941 7,678 7,825 7,440 7,526 7,333 7,190 Wales 1971 1976 1981 1986 1991 1992 1993 1994 1995 1996 1997 2,740.3 2,799.3 2,813.5 2,819.6 2,891.5 2,898.5 2,906.5 2,913.0 2,916.8 2,921.1 2,926.9 43.1 33.4 35.8 37.0 38.1 37.5 36.6 35.4 34.5 34.9 34.5 34.8 36.3 35.0 34.7 34.1 33.8 35.9 33.9 35.6 34.6 34.6 43.4 42.0 37.6 34.4 34.4 34.6 34.9 35.1 35.0 34.7 34.5 29.8 30.9 31.6 32.5 33.4 33.6 33.6 33.6 33.6 33.5 33.5 2.44 1.79 1.87 1.86 1.88 1.87 1.84 1.79 1.78 1.82 1.82 7.2 8.7 11.2 21.1 32.3 34.0 35.2 36.0 38.1 41.2 42.8 26.0 26.6 26.5 27.0 27.3 27.4 27.7 27.8 27.8 28.0 11,175 10,858 9,846 9,012 8,074 7,886 8,227 7,753 7,953 7,664 7,578 Scotland 1971 1976 1981 1986 1991 1992 1993 1994 1995 1996 1997 5,235.6 5,233.4 5,180.2 5,123.0 5,107.0 5,111.2 5,120.2 5,132.4 5,136.6 5,128.0 5,122.5 86.7 64.9 69.1 65.8 67.0 65.8 63.3 61.7 60.1 59.3 59.4 61.6 65.3 63.8 63.5 61.0 60.9 64.0 59.3 60.5 60.7 59.5 48.2 44.7 38.2 33.5 32.2 32.3 32.5 32.6 32.5 32.3 32.0 27.1 28.4 28.4 28.0 28.7 28.7 28.7 28.6 28.7 28.7 28.8 2.53 1.80 1.84 1.67 1.70 1.67 1.62 1.58 1.55 1.55 1.57 8.1 9.3 12.2 20.6 29.1 30.3 31.3 31.2 33.7 36.0 37.7 26.0 26.3 26.6 27.4 27.7 27.9 28.2 28.4 28.5 28.6 Northern Ireland 1971 1976 1981 1986 1991 1992 1993 1994 1995 1996 1997 1,540.4 1,523.5 1,537.7 1,566.8 1,601.4 1,618.4 1,631.8 1,641.7 1,649.0 1,663.3 1,675.0 31.8 26.4 27.3 28.2 26.3 25.6 24.9 24.3 23.9 24.6 24.3 17.6 17.0 16.3 16.1 15.1 15.0 15.6 15.1 15.3 15.2 15.0 56.6 56.1 50.6 46.5 44.0 43.6 43.3 42.9 42.3 41.6 40.8 24.0 25.3 25.3 24.7 25.6 25.4 25.4 25.2 25.1 24.9 25.0 3.13 2.70 2.60 2.46 2.18 2.09 2.01 1.95 1.91 1.95 1.93 3.8 5.0 7.0 12.7 20.2 21.9 21.9 22.0 23.1 25.9 26.6 27.4 27.6 27.6 28.0 28.1 28.4 28.6 28.8 28.8 29.0 60 18.4 13.7 12.6 9.5 6.6 6.0 5.5 6.1 5.8 5.6 5.9‡ 70.4 71.6 73.2 73.3 73.5 73.5 73.8 73.9 76.4 77.6 78.9 78.9 79.0 79.0 79.2 79.2 11,444 11,675 10,849 10,135 9,254 9,146 9,529 8,840 8,887 8,868 8,623 67.3 68.2 69.1 70.2 71.4 71.5 71.7 71.9 72.1 72.2‡ 73.7 74.4 75.3 76.2 77.1 77.1 77.3 77.4 77.6 77.8‡ 19.9 14.8 11.3 8.8 7.1 6.8 6.5 6.2 6.2 6.2 5.3‡ 11,607 11,746 10,567 10,071 8,564 8,347 8,600 8,256 8,255 8,057 7,810 67.6 67.5 69.1 70.6 72.3 72.5 72.8 72.9 73.3 73.6‡ 73.7 73.8 75.4 76.7 78.1 78.3 78.4 78.4 78.7 78.9‡ 22.7 18.3 13.2 10.2 7.4 6.0 7.1 6.1 7.1 5.8 5.6‡ ‡ Provisional. * Percentage of children under 16 to working population (males 16–64 and females 16–59). † Percentage of males 65 and over and females 60 and over to working population (males 16–64 and females 16–59). ** TPFR (the total period fertility rate) is the number of children that would be born to a woman if current patterns of fertility persisted throughout her childbearing life. †† Per million population. The age-standardised mortality rate makes allowances for changes in the age structure of the population. See Notes to tables. ***Deaths under one year per 1,000 live births. Notes: 1. Some of these indicators are also in other tables. They are brought together to make comparison easier. 2. Figures for England and Wales represent the number of deaths registered in each year up to 1992, and the number of deaths occurring in each year from 1993. Office for National Statistics 17.5 14.2 10.9 9.5 7.3 6.5 6.3 6.1 6.1 6.1 5.9‡ Health Statistics Quar terly 01 Table 3.1 Live births: age of mother Numbers (thousands), rates, mean age and TPFRs England and Wales Age of mother at birth Year and quarter Spring 1999 All ages Under 20 20–24 25–29 30–34 Age of mother at birth 35–39 40 and over All ages Under 20 Total live births (numbers) 20–24 25–29 30–34 35–39 40 and over Mean age (years) TPFR† Age-specific fertility rates* 1961 1964(max)† 1966 1971 1976 1977(min)† 1981 1986 1991 811.3 876.0 849.8 783.2 584.3 569.3 634.5 661.0 699.2 59.8 76.7 86.7 82.6 57.9 54.5 56.6 57.4 52.4 249.8 276.1 285.8 285.7 182.2 174.5 194.5 192.1 173.4 248.5 270.7 253.7 247.2 220.7 207.9 215.8 229.0 248.7 152.3 153.5 136.4 109.6 90.8 100.8 126.6 129.5 161.3 77.5 75.4 67.0 45.2 26.1 25.5 34.2 45.5 53.6 23.3 23.6 20.1 12.7 6.5 6.0 6.9 7.6 9.8 89.2 92.9 90.5 83.5 60.4 58.1 61.3 60.6 63.6 37.3 42.5 47.7 50.6 32.2 29.4 28.1 30.1 33.0 172.6 181.6 176.0 152.9 109.3 103.7 105.3 92.7 89.3 176.9 187.3 174.0 153.2 118.7 117.5 129.1 124.0 119.4 103.1 107.7 97.3 77.1 57.2 58.6 68.6 78.1 86.7 48.1 49.8 45.3 32.8 18.6 18.2 21.7 24.6 32.1 15.0 13.7 12.5 8.7 4.8 4.4 4.9 4.8 5.3 27.6 27.2 26.8 26.2 26.4 26.5 26.8 27.0 27.7 2.77 2.93 2.75 2.37 1.71 1.66 1.80 1.77 1.82 1992 1993 1994 1995 1996 1997 1998 689.7 673.5 664.7 648.1 649.5 642.1 47.9 45.1 42.0 41.9 44.7 46.3 163.3 152.0 140.2 130.7 125.7 118.4 244.8 236.0 229.1 217.4 211.1 202.5 166.8 171.1 179.6 181.2 186.4 187.2 56.7 58.8 63.1 65.5 69.5 74.8 10.2 10.5 10.7 11.3 12.1 12.9 63.5 62.6 61.9 60.4 60.5 59.7 31.7 31.0 29.0 28.5 29.8 30.2 86.2 82.7 79.4 76.8 77.5 76.4 117.3 114.1 112.1 108.6 106.9 104.6 87.2 87.0 88.7 87.3 88.6 88.7 33.4 34.1 35.8 36.2 37.2 38.8 5.8 6.2 6.4 6.8 7.2 7.6 27.9 28.1 28.4 28.5 28.6 28.8 1.80 1.76 1.75 1.72 1.73 1.73 1996 Sept Dec 169.9 164.2 11.6 12.0 33.1 32.1 55.4 52.6 48.8 46.6 17.9 17.7 3.1 3.2 61.5 61.9 30 32 80 82 109 109 90 90 37 38 7 8 28.6 28.6 1.77 1.79 1997 March June Sept Dec 158.1 162.9 164.4 156.7 11.5 11.3 11.8 11.8 29.8 29.5 30.3 29.0 50.4 51.5 51.9 48.7 45.6 48.3 48.0 45.3 17.7 19.2 19.2 18.7 3.1 3.3 3.3 3.2 60.6 60.4 59.1 58.7 31 29 30 31 78 75 76 76 107 106 104 102 89 91 88 87 38 40 38 39 8 8 7 8 28.7 28.9 28.8 28.8 1.75 1.74 1.71 1.71 1998 March‡ 155.4 June‡ 158.3 11.7 11.4 27.7 27.4 47.8 48.5 46.1 48.0 18.8 19.6 3.3 3.3 59.3 58.5 31 29 75 72 103 102 90 91 39 40 8 8 28.9 29.0 1.73 1.70 * Births per 1,000 women in the age-group; all quarterly rates and total period fertility rates (TPFRs) are seasonally adjusted. † TPFR (the total period fertility rate) is the number of children that would be born to a woman if current patterns of fertility persisted throughout her childbearing life. During the post Second World War period the TPFR reached a maximum in 1964 and a minimum in 1997. ‡ Provisional. Note: The rates for women of all ages, under 20, and 40 and over are based upon the populations of women aged 15–44, 15–19, and 40–44 respectively. 61 Office f or National Statistics Health Statistics Quar terly 01 Table 3.2 Spring 1999 Live births outside marriage: age of mother and type of registration Numbers (thousands), mean age and percentages Age of mother at birth Year and quarter All ages Under 20 20–24 25–29 30–34 England and Wales Age of mother at birth 35–39 40 and over Mean age (years) All ages Under 20 20–24 25–29 30–34 Registration* 35–39 40 and over Joint Sole Same Different address† address† Percentage of total births As a percentage of all births outside marriage { Live births outside marriage (numbers) 65.7 53.8 81.0 21.6 19.8 26.4 22.0 16.6 28.8 11.5 9.7 14.3 6.2 4.7 7.9 3.2 2.3 1.3 1.1 0.7 0.9 23.7 23.3 23.4 8.4 9.2 12.8 26.1 34.2 46.7 7.7 9.1 14.8 4.7 4.4 6.6 5.7 5.2 6.2 7.0 8.6 3.9 9.0 10.1 12.5 45.5 51.0 58.2 54.5 49.0 41.8 1986 1991 1992 141.3 211.3 215.2 39.6 43.4 40.1 54.1 77.8 77.1 27.7 52.4 55.9 13.1 25.7 28.9 5.7 9.8 10.9 1.1 2.1 2.3 23.8 24.8 25.2 21.4 30.2 31.2 69.0 82.9 83.7 28.2 44.9 47.2 12.1 21.1 22.8 10.1 16.0 17.3 12.6 18.3 19.3 14.7 21.3 22.9 46.6 54.6 55.4 19.6 19.8 20.7 33.8 25.6 23.9 1993 1994 1995 1996 1997 1998 216.5 215.5 219.9 232.7 237.9 38.2 35.9 36.3 39.3 41.1 75.0 71.0 69.7 71.1 69.4 57.5 58.5 59.6 62.3 63.3 31.4 34.0 37.0 40.5 42.2 11.9 13.4 14.4 16.2 18.2 2.5 2.7 3.0 3.2 3.7 25.4 25.8 25.9 26.0 26.2 32.2 32.4 33.9 35.8 37.0 84.8 85.5 86.6 88.0 88.7 49.4 50.6 53.3 56.5 58.6 24.4 25.5 27.4 29.5 31.3 18.4 18.9 20.4 21.7 22.5 20.2 21.2 22.0 23.4 24.3 23.5 25.2 26.2 26.7 28.6 54.8 57.5 58.1 58.1 59.6 22.0 19.8 20.1 19.9 19.3 23.2 22.7 21.8 21.9 21.3 1996 June 1996 Sept 1996 Dec 54.8 61.6 61.3 9.2 10.3 10.6 16.6 18.8 18.7 14.6 16.6 16.4 9.7 10.8 10.5 3.9 4.3 4.2 0.8 1.0 0.8 26.1 26.1 26.0 34.6 36.3 37.3 88.2 88.1 87.9 55.6 57.0 58.2 28.2 29.9 31.2 20.9 22.1 22.6 23.2 23.8 23.9 27.7 31.2 26.7 58.1 58.2 58.2 19.9 20.1 19.9 22.0 21.7 21.8 1997 March 1997 June 1997 Sept 1997 Dec 58.5 58.8 61.3 59.3 10.2 10.0 10.5 10.4 17.4 17.1 17.8 17.1 15.7 15.5 16.5 15.7 10.2 10.6 10.9 10.4 4.2 4.7 4.7 4.6 0.9 0.9 0.9 0.9 26.1 26.2 26.2 26.2 37.0 36.1 37.3 37.8 88.7 89.1 88.8 88.3 58.4 58.0 58.9 59.2 31.0 30.1 31.8 32.2 22.4 22.0 22.7 23.0 23.9 24.3 24.4 24.8 28.8 28.3 27.9 29.4 58.4 59.6 59.9 60.0 19.5 19.5 18.9 19.2 22.0 21.0 21.2 20.7 1998 March‡ 1998 June‡ 58.4 58.3 10.4 10.2 16.5 16.2 15.3 15.4 10.6 10.8 4.6 4.7 1.0 0.9 26.2 26.4 37.5 36.8 89.0 89.6 59.4 59.1 31.9 31.8 23.1 22.5 24.4 24.0 29.6 28.3 60.4 61.0 18.4 18.2 21.1 20.8 { 1971 1976 1981 * Births outside marriage can be registered by both the mother and father (joint) or by the mother alone (sole). † Usual address of parents. ‡ Provisional. Office for National Statistics 62 Health Statistics Quar terly 01 Table 4.1 Conceptions: age of woman at conception Numbers (thousands) and rates; and percentage terminated by abortion Spring 1999 England and Wales (residents) Age of woman at conception Year and quarter All ages Under 16 Under 20 20–24 25–29 30–34 35–39 40 and over (a) numbers (thousands) 1990 1991 1992 1993 1994 1995 1996 871.5 853.6 828.0 819.0 801.6 790.3 816.0 8.6 7.8 7.3 7.2 7.8 8.0 8.8 115.1 103.3 93.0 86.7 85.0 86.2 94.4 245.2 234.1 215.0 202.9 189.6 180.4 179.1 283.8 281.1 274.8 271.4 261.5 249.9 251.9 160.2 166.3 172.9 181.9 185.9 191.2 200.5 55.4 56.9 60.1 63.5 66.7 69.2 75.9 11.8 11.9 12.2 12.6 12.9 13.3 14.2 1995 March 1995 June 1995 Sept 1995 Dec 193.2 194.1 195.2 207.8 1.9 2.0 2.1 2.0 20.9 21.3 21.0 23.0 45.2 44.7 43.3 47.2 61.4 61.1 62.0 65.4 45.8 46.4 48.4 50.6 16.6 17.2 17.2 18.2 3.3 3.4 3.3 3.4 1996 March 1996 June 1996 Sept 1996 Dec 206.3 200.7 202.3 206.6 2.3 2.3 2.1 2.1 24.1 23.7 22.5 24.1 47.2 44.4 42.9 44.7 63.8 61.9 63.0 63.2 49.4 48.9 51.0 51.2 18.4 18.4 19.3 19.8 3.4 3.6 3.6 3.6 1997 March‡ 1997 June‡ 1997 Sept‡ 194.0 198.1 199.2 2.0 2.2 2.0 23.1 23.8 23.3 41.4 41.5 40.3 59.4 59.6 60.6 47.8 49.9 51.3 18.8 19.6 20.1 3.6 3.8 3.6 (b) rates (conceptions per thousand women in age group) 1990 79.2 10.1 1991 77.7 9.3 1992 76.3 8.5 1993 76.1 8.1 1994 74.7 8.3 1995 73.7 8.5 1996 76.0 9.4 69.1 65.1 61.7 59.6 58.6 58.7 63.0 124.4 120.6 113.5 110.4 107.3 105.9 110.4 137.8 135.0 131.7 131.2 128.0 124.8 127.5 89.1 89.4 90.4 92.5 91.8 92.1 95.3 33.2 34.0 35.4 36.8 37.8 38.2 40.6 6.4 6.4 7.0 7.4 7.7 8.0 8.5 1995 March 1995 June 1995 Sept 1995 Dec 73.0 72.6 72.2 76.8 8.2 8.7 8.7 8.6 58.0 58.2 56.5 61.7 106.0 104.9 101.5 112.0 123.5 122.1 123.1 130.2 90.3 89.9 92.5 96.2 37.6 38.2 37.5 39.5 8.0 8.1 7.8 8.0 1996 March 1996 June 1996 Sept 1996 Dec 77.3 75.2 74.9 76.5 9.9 9.8 9.1 9.0 65.2 63.7 59.6 63.3 114.9 109.3 105.8 111.4 129.4 125.8 127.3 128.6 94.9 93.7 96.4 96.9 40.1 39.7 41.0 41.7 8.1 8.6 8.6 8.5 1997 March‡ 1997 June‡ 1997 Sept‡ 73.2 73.9 73.5 8.7 9.4 8.7 61.6 62.3 60.5 106.6 106.8 104.4 123.5 123.2 125.6 91.9 94.8 97.4 39.9 41.0 41.6 8.6 8.9 8.5 (c) percentage terminated by abortion 1990 19.9 1991 19.3 1992 19.3 1993 19.2 1994 19.5 1995 19.7 1996 20.8 50.6 51.0 51.0 52.1 52.8 49.8 51.5 35.6 34.4 34.5 34.9 35.3 35.2 36.8 22.2 22.1 22.4 22.9 23.5 24.3 25.9 13.5 13.4 13.9 13.8 14.3 14.8 15.6 13.8 13.7 13.7 13.4 13.4 13.4 14.0 23.3 22.0 21.8 21.2 20.8 20.3 20.9 43.3 41.8 40.6 39.4 40.0 37.2 36.7 1995 March 1995 June 1995 Sept 1995 Dec 19.8 20.2 19.3 19.6 48.7 48.8 52.1 49.3 35.3 35.4 35.1 34.8 23.8 24.7 24.1 24.5 14.9 15.4 14.4 14.5 13.8 13.8 12.9 13.4 20.6 20.8 19.6 20.3 38.0 37.4 38.1 35.3 1996 March 1996 June 1996 Sept 1996 Dec 21.0 21.3 19.8 21.1 49.4 51.6 52.9 52.5 36.7 37.2 35.8 37.7 25.6 26.6 24.8 26.4 15.8 16.0 14.9 15.9 14.3 14.3 13.2 14.2 21.5 21.6 20.0 20.7 36.1 37.2 36.4 37.1 1997 March‡ 1997 June‡ 1997 Sept‡ 21.4 21.7 20.6 50.8 51.9 50.6 36.6 37.2 37.4 26.7 27.2 26.1 16.6 16.7 15.8 14.4 14.5 13.5 20.6 21.6 20.4 37.7 38.1 35.5 ‡ Provisional Notes: 1. Conceptions are estimates derived from birth registrations and abortion notifications. 2. Rates for women of all ages, under 20 and 40 and over are based on the population of women aged 15–44, 15–19 and 40–44 respectively. Some figures for September 1996 onwards have been amended. These rates use mid-1997 population estimates. 63 Office f or National Statistics Health Statistics Quar terly 01 Table 4.2 Spring 1999 Abortions: residents and non-residents; age and gestation (residents only) Numbers (thousands) and rates; and percentages for gestation weeks England England and andWales Wales All women (residents) All ages Year and quarter All women Residents Age group Nonresidents Under 16 16–19 20–34 Gestation weeks 35–44 45 and over Not stated Numbers (thousands) Under 10 10–12 13–19 20 and over Not stated Percentages 1971 1976 1981 1986 1991 126.8 129.7 162.5 172.3 179.5 94.6 101.9 128.6 147.6 167.4 32.2 27.8 33.9 24.7 12.1 2.3 3.4 3.5 3.9 3.2 18.2 24.0 31.4 33.8 31.1 56.0 57.5 74.9 92.0 114.7 15.9 14.7 17.6 17.5 17.9 0.5 0.5 0.6 0.4 0.4 1.8 1.8 0.6 0.0 0.0 30.5 41.6 45.4 47.7 50.7 44.0 38.9 39.0 39.4 37.4 21.8 15.0 13.5 11.5 10.6 1.0 1.1 1.3 1.4 1.2 2.8 3.4 0.8 0.0 0.0 1992 1993 1994 1995 1996 1997 172.1 168.7 166.9 163.6 177.5 179.7 160.5 157.8 156.5 154.3 167.9 170.1 11.6 10.9 10.3 9.3 9.6 9.6 3.0 3.1 3.2 3.2 3.6 3.4 27.6 25.8 25.1 24.9 28.8 29.9 113.5 109.7 108.1 106.4 113.9 114.0 18.1 18.8 19.1 19.2 21.1 22.3 0.5 0.5 0.4 0.5 0.4 0.5 0.0 0.0 0.0 0.0 0.0 0.0 51.3 52.9 54.2 55.6 54.1 56.2 37.3 36.0 34.7 33.6 34.5 32.9 10.3 9.9 9.9 9.6 10.1 9.6 1.2 1.2 1.2 1.2 1.3 1.2 0.0 0.0 0.0 0.0 0.0 0.0 1995 March June Sept Dec 42.9 40.0 41.3 39.5 40.4 37.7 38.9 37.3 2.4 2.3 2.4 2.2 0.9 0.8 0.8 0.8 6.5 6.0 6.4 6.1 28.0 26.1 26.7 25.6 5.0 4.7 4.9 4.6 0.1 0.1 0.1 0.1 0.0 0.0 0.0 0.0 52.9 55.6 55.8 58.6 35.7 33.8 33.2 31.4 10.4 9.4 9.7 8.7 1.1 1.2 1.3 1.2 0.0 0.0 0.0 0.0 1996 March June Sept Dec 45.7 45.5 44.0 42.4 43.2 42.9 41.6 40.1 2.4 2.5 2.4 2.2 0.9 0.9 0.9 0.9 7.4 7.3 7.1 7.0 29.7 29.2 28.0 26.9 5.2 5.4 5.4 5.2 0.1 0.1 0.1 0.1 0.0 0.0 0.0 0.0 52.0 52.8 54.3 57.5 36.5 35.3 34.1 32.0 10.2 10.5 10.3 9.3 1.2 1.4 1.4 1.3 0.0 0.0 0.0 0.0 1997 March June Sept Dec 46.2 45.2 45.1 43.3 43.6 42.8 42.7 41.0 2.5 2.4 2.4 2.3 0.9 0.8 0.9 0.8 7.7 7.4 7.5 7.4 29.4 28.9 28.4 27.3 5.5 5.6 5.8 5.4 0.1 0.1 0.1 0.1 0.0 0.0 0.0 0.0 51.7 56.4 57.2 59.8 36.0 32.9 32.0 30.7 11.1 9.4 9.6 8.3 1.3 1.2 1.2 1.2 0.0 0.0 0.0 0.0 1998 March‡ June‡ Sept‡ 47.9 46.1 46.6 45.4 43.7 44.2 2.5 2.4 2.4 1.0 0.9 1.0 8.6 8.1 8.2 30.0 28.9 28.8 5.8 5.8 6.1 0.1 0.1 0.1 0.0 0.0 0.0 52.7 55.7 57.0 35.2 33.4 32.3 10.8 9.5 9.5 1.3 1.4 1.2 0.0 0.0 0.0 Rates (per thousand women 14–49) 1971 : 1976 : 1981 : 1986 : 1991 : 8.4 8.9 10.6 11.7 13.1 : : : : : 3.5 4.4 4.5 5.4 5.6 13.9 16.9 19.4 22.0 24.0 11.4 11.2 14.0 16.5 19.6 5.6 5.3 5.9 5.1 5.1 0.3 0.3 0.4 0.3 0.3 1992 1993 1994 1995 1996 1997 : : : : : : 12.5 12.3 12.2 12.0 13.0 13.3 : : : : : : 5.4 5.3 5.2 5.2 5.8 5.5 22.4 22.0 22.0 21.7 24.3 24.5 18.9 18.7 18.6 18.4 20.0 20.4 5.2 5.5 5.6 5.5 6.0 6.1 0.3 0.3 0.2 0.2 0.2 0.3 1995 March June Sept Dec : : : : 12.8 11.8 12.0 11.5 : : : : 5.6 4.9 5.1 5.2 22.9 21.0 21.9 21.0 19.6 18.1 18.3 17.6 5.8 5.4 5.6 5.2 0.3 0.2 0.3 0.2 1996 March June Sept Dec : : : : 13.5 13.4 12.8 12.4 : : : : 5.7 5.9 5.9 5.8 25.0 24.9 24.0 23.5 21.0 20.6 19.6 18.8 5.9 6.1 6.1 5.8 0.2 0.2 0.2 0.3 1997 March June Sept Dec : : : : 13.8 13.4 13.2 12.7 : : : : 5.7 5.4 5.7 5.3 25.5 24.1 24.3 24.0 21.3 20.7 20.2 19.4 6.2 6.2 6.3 5.9 0.2 0.3 0.3 0.3 1998 March‡ June‡ Sept‡ : : : 14.4 13.7 13.7 : : : 6.3 5.7 6.1 28.5 26.4 26.7 21.7 20.7 20.4 6.5 6.4 6.7 0.3 0.3 0.3 ‡ Provisional. Office for National Statistics 64 Health Statistics Quar terly 01 Table 5.1 Expectation of life (in years) at birth and selected age Constituent countries of the United Kingdom Males Year At birth Spring 1999 Females At age Year 5 20 30 50 60 70 80 At birth At age 5 20 30 50 60 70 80 United Kingdom 1971 1976 68.8 69.6 65.3 66.0 50.9 51.4 41.3 41.9 23.0 23.4 15.3 15.7 9.5 9.6 5.5 5.6 1971 1976 75.0 75.2 71.4 72.0 56.7 57.3 47.0 47.5 28.3 28.7 19.8 20.3 12.5 12.9 6.9 7.2 1981 1986 70.8 71.9 66.9 67.8 52.3 53.1 42.7 43.5 24.1 24.9 16.3 16.8 10.1 10.5 5.7 6.0 1981 1986 76.8 77.7 72.8 73.4 57.9 58.6 48.2 48.8 29.2 29.8 20.8 21.2 13.3 13.7 7.4 7.8 1991 1992 1993 1994 1995 1996‡ 73.2 73.4 73.7 73.9 74.1 74.2 68.9 69.1 69.3 69.5 69.7 69.8 54.2 54.4 54.6 54.8 55.0 55.1 44.7 44.8 45.1 45.2 45.5 45.5 26.0 26.1 26.4 26.5 26.8 26.8 17.7 17.8 18.0 18.1 18.4 18.4 11.1 11.1 11.3 11.3 11.5 11.5 6.4 6.4 6.5 6.5 6.6 6.6 1991 1992 1993 1994 1995 1996‡ 78.8 78.9 79.1 79.2 79.4 79.5 74.4 74.4 74.6 74.7 74.9 75.0 59.6 59.6 59.8 59.9 60.1 60.1 49.7 49.8 50.0 50.0 50.2 50.3 30.7 30.7 30.9 31.0 31.2 31.2 21.9 21.9 22.1 22.2 22.4 22.4 14.4 14.4 14.5 14.5 14.6 14.6 8.3 8.3 8.4 8.4 8.5 8.5 England and Wales 1971 69.0 1976 69.9 65.6 66.2 51.1 51.6 41.5 42.1 23.1 23.5 15.4 15.8 9.5 9.7 5.5 5.7 1971 1976 75.2 76.0 71.6 72.2 56.9 57.4 47.1 47.7 28.4 28.8 20.0 20.4 12.6 13.0 7.0 7.2 1981 1986 71.0 72.1 67.1 68.0 52.5 53.4 42.9 43.8 24.3 25.0 16.4 16.9 10.1 10.5 5.8 6.0 1981 1986 77.0 77.8 72.9 73.6 58.1 58.8 48.3 49.0 29.4 29.9 20.9 21.3 13.4 13.8 7.5 7.8 1991 1992 1993 1994 1995 1996‡ 73.4 73.6 74.0 74.1 74.4 74.5 69.1 69.3 69.6 69.7 70.0 70.1 54.5 54.6 54.9 55.0 55.2 55.4 44.9 45.0 45.3 45.4 45.7 45.9 26.2 26.3 26.5 26.7 26.9 27.1 17.9 17.9 18.2 18.3 18.5 18.7 11.2 11.2 11.4 11.4 11.6 11.7 6.4 6.4 6.5 6.5 6.6 6.7 1991 1992 1993 1994 1995 1996‡ 79.0 79.1 79.3 79.4 79.6 79.6 74.6 74.6 74.8 74.9 75.1 75.1 59.8 59.8 60.0 60.1 60.3 60.3 49.9 50.0 50.2 50.3 50.4 50.5 30.8 30.9 31.1 31.2 31.3 31.4 22.1 22.1 22.3 22.3 22.5 22.5 14.5 14.5 14.6 14.6 14.7 14.7 8.4 8.4 8.5 8.5 8.6 8.5 England 1981 1986 71.1 72.2 67.1 68.1 52.5 53.4 42.9 43.8 24.3 25.1 16.4 17.0 10.1 10.6 5.8 6.1 1981 1986 77.0 77.9 72.9 73.7 58.2 58.9 48.4 49.1 29.4 30.0 20.9 21.4 13.4 13.9 7.5 7.9 1991 1992 1993 1994 1995 1996‡ 73.4 73.7 74.0 74.1 74.4 74.6 69.1 69.3 69.6 69.7 70.0 70.2 54.5 54.6 54.9 55.0 55.3 55.5 44.9 45.0 45.3 45.5 45.7 45.9 26.2 26.3 26.6 26.7 27.0 27.1 17.9 18.0 18.2 18.3 18.5 18.7 11.2 11.2 11.4 11.4 11.6 11.7 6.4 6.4 6.5 6.6 6.6 6.7 1991 1992 1993 1994 1995 1996‡ 79.0 79.1 79.3 79.4 79.6 79.7 74.6 74.6 74.9 74.9 75.1 75.2 59.8 59.8 60.0 60.1 60.3 60.3 49.9 50.0 50.2 50.3 50.5 50.5 30.9 30.9 31.1 31.2 31.4 31.4 22.1 22.1 22.3 22.4 22.5 22.6 14.5 14.5 14.6 14.6 14.7 14.7 8.4 8.4 8.5 8.5 8.6 8.6 Wales 1981 1986 70.4 71.6 66.5 67.5 51.9 52.9 42.2 43.3 23.6 24.6 15.8 16.6 9.7 10.4 5.5 6.0 1981 1986 76.4 77.6 72.3 73.3 57.5 58.5 47.7 48.7 28.9 29.7 20.4 21.1 13.1 13.8 7.4 7.8 1991 1992 1993 1994 1995 1996‡ 73.2 73.3 73.5 73.5 73.8 73.9 68.9 68.9 69.1 69.1 69.4 69.5 54.2 54.2 54.4 54.4 54.7 54.8 44.6 44.7 44.9 44.9 45.2 45.3 25.9 25.9 26.1 26.2 26.5 26.6 17.6 17.7 17.8 17.9 18.1 18.3 11.0 11.0 11.2 11.1 11.3 11.4 6.4 6.4 6.6 6.5 6.6 6.5 1991 1992 1993 1994 1995 1996‡ 78.9 78.9 79.0 79.0 79.2 79.2 74.4 74.4 74.5 74.5 74.7 74.7 59.6 59.6 59.7 59.7 59.8 59.8 49.8 49.8 49.9 49.8 50.0 50.0 30.7 30.7 30.8 30.8 30.9 31.0 21.9 21.9 22.0 22.0 22.2 22.2 14.4 14.3 14.4 14.4 14.5 14.5 8.4 8.3 8.4 8.4 8.5 8.5 Scotland 1971 1976 67.3 68.2 64.0 64.4 49.5 49.9 40.1 40.4 22.0 22.3 14.6 14.9 9.1 9.2 5.4 5.3 1971 1976 73.7 74.4 70.1 70.6 55.4 55.9 45.6 46.1 27.2 27.6 19.0 19.4 11.9 12.4 6.7 6.9 1981 1986 69.1 70.2 65.0 66.0 50.0 51.4 41.0 41.9 22.8 23.5 15.3 15.8 9.5 9.9 5.4 5.7 1981 1986 75.3 76.2 71.1 71.9 56.3 57.1 46.5 47.3 27.8 28.4 19.6 20.0 12.6 13.0 7.2 7.4 1991 1992 1993 1994 1995 1996‡ 71.4 71.5 71.7 71.9 72.1 72.2 67.1 67.2 67.3 67.5 67.7 67.8 52.5 52.5 52.7 52.8 53.1 53.1 43.0 43.1 43.2 43.4 43.6 43.7 24.6 24.6 24.8 24.9 25.2 25.3 16.6 16.6 16.8 16.9 17.2 17.3 10.4 10.4 10.5 10.6 10.8 10.9 6.1 6.0 6.0 6.1 6.2 6.2 1991 1992 1993 1994 1995 1996‡ 77.1 77.1 77.3 77.4 77.6 77.8 72.6 72.6 72.8 72.9 73.2 73.2 57.8 57.8 58.0 58.1 58.3 58.4 48.1 48.1 48.2 48.3 48.6 48.7 29.1 29.1 29.3 29.4 29.6 29.7 20.6 20.6 20.7 20.8 21.0 21.1 13.4 13.4 13.4 13.5 13.7 13.7 7.8 7.7 7.8 7.8 7.9 7.9 Northern Ireland 1971 1976 67.6 67.5 64.6 64.1 50.1 49.7 40.7 40.5 22.6 22.5 15.0 14.9 9.4 9.2 5.3 4.8 1971 1976 73.7 73.8 70.4 70.4 55.6 55.7 45.9 46.0 27.3 27.3 18.9 19.0 11.7 11.8 6.5 6.1 1981 1986 69.1 70.6 65.5 66.4 50.9 51.8 41.6 42.4 23.2 23.8 15.6 16.0 9.6 10.0 5.4 5.7 1981 1986 75.4 76.7 71.5 72.5 56.8 57.7 47.1 47.9 28.2 28.9 19.9 20.4 12.6 13.0 7.0 7.3 1991 1992 1993 1994 1995 1996‡ 72.3 72.5 72.8 72.9 73.3 73.6 67.9 68.2 68.4 68.6 68.9 69.2 53.3 53.6 53.8 54.0 54.3 54.5 43.8 44.1 44.4 44.5 44.8 45.0 25.2 25.5 25.6 25.8 26.1 26.3 17.0 17.2 17.4 17.5 17.7 17.9 10.6 10.7 10.8 10.9 11.0 11.0 6.0 6.0 6.1 6.1 6.0 6.0 1991 1992 1993 1994 1995 1996‡ 78.1 78.3 78.4 78.4 78.7 78.9 73.7 73.9 74.0 74.0 74.2 79.5 58.9 59.1 59.2 59.2 59.4 59.6 49.1 49.3 49.4 49.4 49.6 49.8 30.0 30.2 30.3 30.3 30.5 30.7 21.3 21.5 21.6 21.6 21.7 21.9 13.8 13.9 14.0 14.0 14.0 14.1 7.8 8.0 7.9 7.9 7.9 8.0 Note: Figures from 1981 are calculated from the population estimates revised in the light of the 1991 Census. All figures are based on a three-year period; see Notes to tables for further information. ‡ Provisional. 65 Office f or National Statistics Health Statistics Quar terly 01 Table 6.1 Spring 1999 Deaths: age and sex Numbers (thousands) and rates England and Wales Age group Year and quarter All ages Under 1* 1–4 5–9 10–14 15–19 20–24 25–34 35–44 45–54 55–64 65–74 75–84 85 and over Numbers (thousands) Males 1971 1976 1981 1986 1991 1992 288.4 300.1 289.0 287.9 277.6 271.7 7.97 4.88 4.12 3.72 2.97 2.61 1.23 0.88 0.65 0.57 0.55 0.49 0.92 0.68 0.45 0.32 0.34 0.30 0.69 0.64 0.57 0.38 0.35 0.32 1.54 1.66 1.73 1.43 1.21 0.97 1.77 1.66 1.58 1.75 1.76 1.62 3.05 3.24 3.18 3.10 3.69 3.75 6.68 5.93 5.54 5.77 6.16 5.95 21.0 20.4 16.9 14.4 13.3 13.1 55.7 52.0 46.9 43.6 34.9 33.7 89.8 98.7 92.2 84.4 77.2 76.4 71.9 80.3 86.8 96.2 95.8 92.7 26.1 29.0 28.5 32.2 39.3 39.9 1993 1994 1995 1996 1997 279.6 267.6 274.4 268.7 264.9 2.41 2.37 2.31 2.27 2.14 0.51 0.43 0.39 0.44 0.41 0.28 0.28 0.27 0.24 0.27 0.34 0.33 0.34 0.29 0.33 0.91 0.84 0.91 0.93 0.95 1.60 1.55 1.53 1.41 1.44 3.81 4.07 4.04 4.06 3.94 5.78 5.77 5.88 5.84 5.71 13.4 12.9 13.5 13.6 13.5 33.3 31.3 31.0 30.1 28.9 78.9 76.3 75.0 71.0 68.0 93.8 88.2 92.3 90.7 90.2 44.5 43.2 47.1 47.8 49.1 Females 1971 1976 1981 1986 1991 1992 278.9 298.5 288.9 293.3 292.5 286.6 5.75 3.46 2.90 2.59 2.19 1.93 0.98 0.59 0.53 0.49 0.44 0.39 0.57 0.45 0.30 0.25 0.25 0.21 0.42 0.42 0.37 0.27 0.22 0.20 0.63 0.62 0.65 0.56 0.46 0.43 0.79 0.67 0.64 0.67 0.64 0.62 1.84 1.94 1.82 1.65 1.73 1.72 4.53 4.04 3.74 3.83 3.70 3.72 13.3 12.8 10.5 8.8 8.4 8.3 30.8 29.6 27.2 25.8 21.3 20.6 64.0 67.1 62.8 58.4 54.2 53.4 95.0 104.7 103.6 106.5 103.3 99.5 60.4 72.1 73.9 83.6 95.7 95.5 1993 1994 1995 1996 1997 299.2 285.6 295.2 291.5 290.4 1.84 1.75 1.68 1.69 1.66 0.37 0.36 0.33 0.32 0.30 0.19 0.19 0.20 0.18 0.18 0.25 0.20 0.21 0.20 0.21 0.39 0.36 0.38 0.43 0.43 0.58 0.54 0.50 0.51 0.49 1.80 1.77 1.86 1.85 1.72 3.63 3.67 3.64 3.66 3.74 8.6 8.7 9.0 8.9 9.0 20.4 19.0 18.9 18.2 18.0 55.2 53.9 53.0 50.2 48.3 100.9 94.2 97.2 96.7 95.5 105.0 101.0 108.4 108.7 110.9 Rates (deaths per 1,000 population in each age group) Males 1971 1976 1981 1986 1991 1992 12.1 12.5 12.0 11.8 11.2 10.8 19.8 16.2 12.6 11.0 8.3 7.3 0.76 0.65 0.53 0.44 0.40 0.34 0.44 0.34 0.27 0.21 0.21 0.18 0.37 0.31 0.29 0.23 0.23 0.20 0.90 0.88 0.82 0.71 0.69 0.61 0.93 0.96 0.83 0.82 0.86 0.82 0.97 0.92 0.89 0.87 0.94 0.91 2.31 2.09 1.83 1.67 1.76 1.71 7.07 6.97 6.11 5.27 4.62 4.29 20.1 19.6 17.7 16.6 13.8 13.4 50.5 50.3 45.6 42.9 38.5 37.3 113.0 116.4 105.2 101.1 93.6 90.1 231.8 243.2 226.5 214.8 197.1 193.9 1993 1994 1995 1996 1997 11.1 10.6 10.8 10.5 10.3 7.0 6.9 6.9 7.0 6.5 0.36 0.31 0.28 0.32 0.31 0.16 0.16 0.15 0.13 0.15 0.21 0.20 0.21 0.18 0.19 0.59 0.55 0.58 0.58 0.58 0.83 0.83 0.86 0.83 0.89 0.91 0.96 0.95 095 0.93 1.67 1.66 1.67 1.62 1.54 4.24 3.99 4.08 4.02 3.94 13.3 12.4 12.3 12.0 11.5 37.9 36.2 36.1 34.5 33.2 93.3 89.5 89.4 85.1 82.5 202.3 188.6 196.0 192.1 190.3 1996 Dec 10.9 6.8 0.37 0.15 0.14 0.61 0.82 0.92 1.65 4.21 12.2 35.6 89.5 202.6 1997 March 1997 June 1997 Sept 1997 Dec 11.9 9.7 9.3 10.4 7.0 6.6 5.9 6.6 0.32 0.32 0.24 0.34 0.15 0.17 0.16 0.12 0.21 0.16 0.20 0.19 0.60 0.55 0.57 0.62 0.95 0.85 0.89 0.86 0.96 0.89 0.93 0.94 1.55 1.52 1.48 1.61 4.11 3.85 3.76 4.04 12.3 11.0 10.9 11.7 37.1 32.2 30.5 33.2 98.4 76.3 72.4 83.1 235.2 170.6 161.8 194.4 1998 March‡ 1998 June‡ 1998 Sept‡ 11.0 10.1 9.3 6.5 6.0 5.7 0.38 0.29 0.27 0.17 0.14 0.13 0.19 0.21 0.15 0.60 0.65 0.50 0.93 0.87 0.84 1.02 0.93 0.88 1.64 1.57 1.51 4.13 3.90 3.87 12.1 11.3 10.7 34.7 31.6 29.4 88.0 80.8 74.7 210.9 186.5 169.6 Females 1971 1976 1981 1986 1991 1992 11.0 11.8 11.3 11.4 11.3 10.9 15.1 12.2 9.4 8.0 6.4 5.7 0.63 0.46 0.46 0.40 0.33 0.29 0.29 0.24 0.19 0.17 0.16 0.14 0.24 0.21 0.19 0.17 0.15 0.13 0.39 0.35 0.32 0.29 0.28 0.29 0.42 0.40 0.35 0.33 0.33 0.32 0.60 0.56 0.52 0.47 0.45 0.43 1.59 1.46 1.26 1.12 1.06 1.08 4.32 4.30 3.80 3.23 2.91 2.73 10.0 10.1 9.5 9.2 8.1 7.9 26.1 26.0 24.1 23.4 22.0 21.5 73.6 74.6 66.2 62.5 58.6 56.9 185.7 196.6 178.2 171.0 163.8 148.8 1993 1994 1995 1996 1997 11.4 10.9 11.2 11.0 10.9 5.6 5.4 5.3 5.4 5.3 0.28 0.27 0.25 0.24 0.23 0.12 0.11 0.12 0.10 0.10 0.16 0.13 0.13 0.12 0.13 0.27 0.25 0.26 0.29 0.28 0.31 0.30 0.29 0.31 0.32 0.45 0.44 0.46 0.45 0.42 1.06 1.06 1.05 1.03 1.03 2.73 2.68 2.72 2.62 2.63 7.9 7.3 7.3 7.1 6.9 22.0 21.3 21.4 20.7 20.2 59.4 56.9 57.1 55.8 54.6 156.5 146.6 153.1 150.8 151.8 1996 Dec 11.6 5.1 0.24 0.11 0.15 0.28 0.34 0.43 1.02 2.74 7.4 21.3 58.7 159.6 1997 March 1997 June 1997 Sept 1997 Dec 13.3 10.0 9.6 10.9 5.6 5.3 4.8 5.6 0.29 0.24 0.18 0.22 0.12 0.10 0.08 0.12 0.10 0.13 0.15 0.15 0.28 0.27 0.26 0.31 0.28 0.35 0.33 0.30 0.43 0.40 0.43 0.44 1.12 1.00 1.01 1.00 2.76 2.57 2.57 2.63 7.8 6.5 6.6 6.9 23.1 19.1 18.3 20.3 65.8 50.6 48.0 54.1 195.0 134.3 127.2 151.3 1998 March‡ 1998 June‡ 1998 Sept‡ 11.8 10.5 9.7 5.4 4.4 4.6 0.25 0.21 0.18 0.12 0.11 0.08 0.18 0.09 0.10 0.30 0.29 0.28 0.31 0.29 0.29 0.41 0.45 0.45 1.03 1.00 0.98 2.64 2.68 2.51 7.1 6.8 6.4 21.3 18.9 17.8 58.5 52.4 48.0 169.3 146.6 134.8 * Rates per 1,000 live births. ‡ Provisional registrations. Note: Figures represent the numbers of deaths registered in each year up to 1992 and the numbers of deaths occurring in each year from 1993. Office for National Statistics 66 Health Statistics Quar terly 01 Table 6.2 Year and quarter Deaths: subnational Rates Northern and Yorkshire Spring 1999 Health Regional Office areas of England* Trent Anglia and Oxford North Thames South Thames South and West West Midlands North West Total deaths (deaths per 1,000 population of all ages) 1991 11.8 11.2 1992 11.4 11.0 9.7 9.5 10.0 9.6 11.3 11.1 11.5 11.3 10.8 10.6 12.0 11.7 1993 1994 1995 1996 1997 11.8 11.2 11.3 11.2 11.0 11.4 10.8 11.0 10.9 10.8 9.8 9.4 9.6 9.6 9.4 9.9 9.5 9.7 9.4 9.2 11.5 10.9 11.1 10.9 10.7 11.6 11.1 11.5 11.2 11.2 11.0 10.5 10.9 10.6 10.5 12.1 11.5 11.6 11.5 11.4 1997 March 1997 June 1997 Sept 1997 Dec 12.9 10.4 9.8 11.1 12.7 10.1 9.6 11.1 11.2 8.7 8.3 9.4 10.9 8.5 8.3 9.1 12.9 9.7 9.4 10.6 13.6 10.4 9.8 11.2 12.3 9.8 9.4 10.6 13.1 10.6 10.2 11.6 1998 March‡ 1998 June‡ 1998 Sept‡ 12.4 10.9 10.0 11.7 10.7 9.5 10.0 9.2 8.7 9.8 8.6 8.2 11.3 10.1 9.4 11.9 11.0 10.0 11.2 10.1 9.5 12.1 11.1 10.3 Infant mortality (deaths under 1 year per 1,000 live births) 1991 8.5 8.0 1992 6.9 6.8 6.8 5.4 6.5 6.4 6.5 6.0 6.4 5.6 8.7 8.2 7.5 7.3 1993 1994 1995 1996 1997 6.9 6.8 6.6 6.4 6.3 7.0 7.2 6.4 6.3 6.0 5.3 5.6 5.2 5.8 5.0 6.2 6.1 5.7 5.6 5.4 6.4 5.2 5.8 6.1 5.3 5.6 5.0 5.6 5.5 5.8 7.0 7.2 7.1 6.8 7.1 6.5 6.2 6.6 6.4 6.8 1997 March 1997 June 1997 Sept 1997 Dec 6.3 6.2 6.5 6.0 6.6 6.4 5.8 5.2 4.5 5.3 4.4 6.0 5.3 5.1 5.0 5.9 5.8 5.1 5.8 4.5 6.5 5.8 5.1 6.0 7.5 7.2 5.8 8.0 6.7 6.8 5.9 7.8 1998 March‡ 1998 June‡ 6.5 6.4 6.0 5.6 5.1 4.4 5.2 5.4 5.8 4.4 5.1 3.8 7.2 6.3 6.8 5.2 Neonatal mortality (deaths under 4 weeks per 1,000 live births) 1991 4.9 4.7 3.8 1992 4.5 4.5 3.5 4.2 4.2 3.8 3.9 3.6 3.4 5.9 5.9 4.0 4.4 1993 1994 1995 1996 1997 4.3 4.4 4.5 4.1 4.1 4.7 5.1 4.5 4.2 4.0 3.6 3.8 3.4 3.7 3.3 4.4 3.9 3.9 3.9 3.5 4.2 3.7 3.9 4.1 3.6 3.6 3.1 3.9 3.9 3.9 4.8 5.4 5.3 5.0 5.0 4.0 3.9 4.2 4.1 4.3 1997 March 1997 June 1997 Sept 1997 Dec 4.3 3.9 4.5 3.8 4.2 4.3 4.2 3.5 3.1 3.8 2.6 3.8 3.7 3.3 3.5 3.4 3.7 3.5 4.1 3.2 3.9 3.7 3.6 4.3 4.5 5.6 4.3 5.6 3.8 4.0 3.9 5.5 1998 March‡ 1998 June‡ 3.8 4.0 4.2 4.2 2.9 3.6 3.2 3.6 3.9 3.1 3.3 2.5 5.2 4.9 4.8 3.2 Perinatal mortality (stillbirths and deaths under 1 week per 1,000 total births)† 1991 8.7 8.6 7.2 1992 7.3 8.5 6.2 8.0 7.5 7.4 7.2 7.0 6.7 9.9 9.2 7.8 8.1 1993 1994 1995 1996 1997 9.4 9.1 9.4 8.6 8.2 8.6 9.1 9.5 8.7 7.9 8.5 7.9 7.2 7.7 7.5 9.2 9.1 9.0 9.0 8.5 8.9 8.1 8.6 8.6 7.9 7.8 7.8 7.7 7.5 8.4 9.9 10.6 10.2 10.2 9.7 8.9 9.2 8.6 8.7 8.8 1997 March 1997 June 1997 Sept 1997 Dec 8.0 8.0 8.6 8.4 8.0 7.8 8.4 7.5 8.6 7.4 6.5 7.6 9.0 8.1 8.0 8.8 8.7 7.5 7.9 7.3 8.8 8.4 7.3 9.4 9.5 9.7 8.5 11.1 8.0 9.1 9.1 9.1 1998 March‡ 1998 June‡ 9.5 9.0 8.9 8.8 6.5 7.4 8.5 8.2 7.8 7.5 6.5 5.9 10.6 9.5 10.3 8.3 * As constituted on 1 April 1996. † In October 1992 the legal definition of a stillbirth was changed, from baby born dead after 28 completed weeks of gestation or more, to one born dead after 24 completed weeks of gestation or more. ‡ Provisional registrations. Note: Figures represent the numbers of deaths registered in each year up to 1992 and the number of deaths occurring in each year from 1993. 67 Office f or National Statistics Health Statistics Quar terly 01 Table 6.3 Spring 1999 Deaths: selected causes (International Classification)* and sex Number (thousands) and rate for all deaths and age-standardised rates† per million population for selected causes England and Wales Malignant neoplasms Year and quarter All deaths Number (thousands) Males 1971 1976 1981 1986 1991 1992 1993 1994 1995 1996 1997 All causes Oesophagus Stomach Colon, rectum, rectosigmoid junction and anus Trachea, bronchus and lung Melanoma of skin Other neoplasm of skin Breast Cervix uteri Ovary and other uterine Prostate (150) (151) (153,154) (162) (172) (173) (174) (180) (183) (185) Rate** 288.4 300.1 289.0 287.9 277.6 271.7 279.6 267.6 274.4 268.7 264.9 1,207 1,246 1,196 1,177 1,121 1,083 1,109 1,057 1,079 1,051 1,031 13,464 13,613 12,200 11,349 10,234 9,870 10,010 9,502 9,582 9,271 9,019 76 84 90 101 117 120 123 128 126 126 125 317 292 251 224 185 179 162 162 148 145 136 331 339 316 313 310 316 294 283 281 272 267 1,066 1,091 1,028 949 841 810 766 743 712 681 649 10 14 17 18 23 22 25 24 26 25 25 12 12 9 9 10 10 8 9 9 8 7 : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 198 211 214 263 302 303 296 295 296 287 277 1996 Dec 69.3 1,078 9,634 132 146 282 684 25 8 : : : 306 1997 Mar 1997 Jun 1997 Sep 1997 Dec 75.2 62.1 60.1 67.5 1,187 970 928 1,042 10,330 8,501 8,142 9,126 119 125 132 125 139 128 138 141 274 262 267 267 668 634 630 663 22 27 27 23 7 5 8 7 : : : : : : : : : : : : 275 269 277 285 1998 Mar‡ 1998 Jun‡ 1998 Sep‡ 69.7 64.4 60.5 1,100 1,006 934 9,625 8,712 8,195 130 126 134 133 127 135 276 257 262 667 621 639 26 26 25 8 8 7 : : : : : : : : : 277 275 274 Females 1971 1976 1981 1986 1991 1992 1993 1994 1995 1996 1997 278.9 298.5 288.9 293.3 292.5 286.6 299.2 285.6 295.2 291.5 290.4 1,104 1,176 1,134 1,141 1,127 1,095 1,140 1,085 1,119 1,102 1,095 8,186 8,303 7,433 6,947 6,399 6,197 6,347 6,039 6,128 5,995 5,925 40 43 42 47 49 49 51 50 52 51 51 149 136 111 89 74 73 66 66 61 55 57 255 262 231 220 207 206 190 187 179 174 169 183 219 252 285 300 297 294 298 294 292 285 14 16 16 19 18 17 22 22 20 20 20 6 6 5 4 4 5 3 4 4 3 3 379 393 405 420 401 395 376 370 359 343 336 83 78 69 69 54 52 47 42 42 41 37 127 125 122 121 118 118 116 114 116 122 115 : : : : : : : : : : : 1996 Dec 75.5 1,136 6,259 55 56 172 300 20 4 350 38 130 : 1997 Mar 1997 Jun 1997 Sep 1997 Dec 86.7 66.5 64.3 73.0 1,326 1,005 961 1,091 6,992 5,499 5,309 5,921 50 49 54 51 56 55 58 58 168 170 169 170 292 268 293 286 21 19 20 20 4 3 3 3 336 327 340 338 33 41 38 37 116 112 116 118 : : : : 1998 Mar‡ 1998 Jun‡ 1998 Sep‡ 77.3 69.6 65.1 1,181 1,053 974 6,321 5,650 5,323 45 48 49 50 57 58 158 160 165 295 273 287 21 18 23 4 3 3 331 312 329 37 35 34 120 113 120 : : : * The Ninth Revision of the International Classification of Diseases, 1975, came into operation in England and Wales on 1 January 1979. ONS has produced a publication containing details of the effect of this Revision (Mortality statistics: comparison of the 8th and 9th revision of the International Classification of Diseases, 1978 (sample), (Series DH1 no.10). ‡ Provisional registrations. † Directly age-standardised to the European Standard population. See Notes to Tables. ** Per 100,000 population. Notes 1. Between 1 January 1984 and 31 December 1992, ONS applied the International Classification of Diseases Selection Rule 3 in the coding of deaths where terminal events and other ‘modes of dying’ such as cardiac arrest, cardiac failure, certain thromboembolic disorders, and unspecified pneumonia and bronchopneumonia, were stated by the certifier to be the underlying cause of death and other major pathology appeared on the certificate. In these cases Rule 3 allows the terminal event to be considered a direct sequel to the major pathology and that primary condition was selected as the underlying cause of death. Prior to 1984 and from 1993 onwards, such certificates are coded to the terminal event. ONS also introduced automated coding of cause of death in 1993, which may also affect comparisons of deaths by cause from 1993. Further details may be found in the annual volumes Mortality statistics: Cause 1984, Series DH2 no.11, and Mortality statistics: Cause 1993 (revised) and 1994, Series DH2 no.21. 2. On 1 January 1986 a new certificate for deaths within the first 28 days of life was introduced. It is not possible to assign one underlying cause of death from this certificate. The ‘cause’ figures for 1986 onwards therefore exclude deaths at ages under 28 days. 3. Figures represent the numbers of deaths registered in each year up to 1992, and the number of deaths occurring in each year from 1993. Provisional figures are registrations. Office for National Statistics 68 Health Statistics Quar terly 01 Table 6.3 continued Spring 1999 Deaths: selected causes (International Classification)* and sex Number (thousands) and rate for all deaths and age-standardised rates† per million population for selected causes England and Wales Malignant neoplasms Bladder Leukaemia Diabetes mellitus Ischaemic heart disease Cerebrovascular disease Pneumonia Bronchitis, emphysema and allied conditions Asthma Gastric, duodenal and peptic ulcers Chronic liver disease and cirrhosis Chronic renal failure Motor vehicle traffic accidents Suicides and undetermined deaths Year and quarter (188) (204-208) (250) (410-414) (430-438) (480-486) (490-492, 496) (493) (531-533) (571) (585) 124 128 121 120 121 123 114 109 111 104 100 74 76 74 75 76 72 69 68 70 65 66 82 91 82 134 130 127 100 97 100 96 94 3,801 3,930 3,664 3,463 2,981 2,854 2,829 2,595 2,535 2,410 2,261 1,541 1,357 1,141 1,071 939 886 794 755 754 743 714 920 1,237 1,054 460 390 361 759 679 753 725 741 944 852 683 725 605 573 566 494 524 480 475 21 17 28 33 31 27 24 23 20 19 19 107 108 90 85 73 69 67 67 63 63 61 35 45 49 56 70 70 67 67 75 88 95 48 61 44 38 24 14 21 20 21 19 17 198 170 113 130 117 109 90 86 83 87 86 124 135 151 154 158 157 149 148 146 137 140 Males 1971 1976 1981 1986 1991 1992 1993 1994 1995 1996 1997 104 66 99 2,513 759 800 502 21 69 97 18 90 131 1996 Dec 102 98 101 100 66 64 68 65 110 85 87 93 2,588 2,189 1,976 2,296 825 670 637 726 1,119 603 531 717 699 398 347 458 22 16 20 19 68 57 53 65 93 89 89 108 19 15 17 19 79 91 90 84 138 134 145 145 1997 Mar 1997 Jun 1997 Sep 1997 Dec 94 101 100 64 65 67 99 87 85 2,419 2,167 1,977 758 685 636 843 689 552 560 424 362 17 18 17 64 57 54 107 105 110 18 18 16 92 86 76 158 153 142 1998 Mar‡ 1998 Jun‡ 1998 Sep‡ 32 35 35 36 34 35 34 34 32 31 31 47 48 46 46 43 42 43 42 41 40 43 89 81 66 100 95 94 73 69 72 67 65 1,668 1,774 1,601 1,554 1,404 1,347 1,330 1,222 1,179 1,126 1,060 1,352 1,212 1,012 930 809 773 711 677 677 667 639 623 824 741 349 324 284 569 499 553 534 559 193 183 155 194 211 216 223 202 227 220 225 25 22 30 35 30 29 27 24 24 21 23 44 49 57 52 46 46 45 43 42 43 41 26 29 36 38 45 43 43 46 49 52 55 30 35 28 21 13 8 12 12 11 10 9 80 65 39 49 44 40 34 33 29 29 28 84 83 81 67 51 51 48 44 46 44 45 Females 1971 1976 1981 1986 1991 1992 1993 1994 1995 1996 1997 31 42 68 1,181 686 587 243 22 45 49 11 31 43 1996 Dec 31 30 30 32 43 38 43 47 73 59 64 66 1,237 1,013 934 1,061 752 608 559 640 908 424 378 530 339 178 160 227 29 19 19 23 50 40 36 38 57 53 55 55 10 9 10 9 29 27 28 30 44 48 43 46 1997 Mar 1997 Jun 1997 Sep 1997 Dec 32 32 32 41 35 39 66 61 60 1,140 1,020 931 691 614 575 651 493 380 288 198 157 24 19 19 45 41 35 57 55 55 13 11 9 29 34 27 46 43 45 1998 Mar‡ 1998 Jun‡ 1998 Sep‡ (E810-E819) (E950-E959, E980-E989 exc. E9888) 69 Office f or National Statistics Health Statistics Quar terly 01 Spring 1999 Notes to tables Changes to tables With the introduction of Health Statistics Quarterly, the previous Population Trends tables have been reviewed and some small changes introduced, in particular, a new table, Table 2.2, showing key demographic and health indicators for the constituent countries of the United Kingdom. For most tables, years start at 1971 and then continue at five-year intervals until 1991. Individual years are shown thereafter. If a year is not present the data are not available. Population The estimated and projected populations of an area include all those usually resident in the area, whatever their nationality. Members of HM forces stationed outside the United Kingdom are excluded. Students are taken to be resident at their term-time addresses. Figures for the United Kingdom do not include the population of the Channel Islands or the Isle of Man. The population estimated for mid-1991 onwards are final figures based on the 1991 Census of Population with allowance for subsequent births, deaths and migration. Live births For England and Wales, figures relate to numbers occurring in a period; for Scotland and Northern Ireland, figures relate to those registered in a period. See also Note on page 63 of Population Trends 67. Perinatal mortality In October 1992 the legal definition of a stillbirth was changed, from baby born dead after 28 completed weeks of gestation or more, to one born dead after 24 completed weeks of gestation or more. Expectation of life The life tables on which these expectations are Office for National Statistics 70 based use current death rates to describe mortality levels for each year. Each individual year shown is based on a threeyear period, so that for instance 1986 represents 1985–87. More details may be found in Population Trends 60, page 23. Deaths Figures for England and Wales represent the numbers of deaths registered in each year up to 1992, and the number of deaths occurring in each year from 1993. Provisional figures are registrations. Figures for both Scotland and Northern Ireland represent the number of deaths registered in each year. Age-standardised mortality Directly age-standardised rates make allowances for changes in the age structure of the population. The age-standardised rate for a particular condition is that which would have occurred if the observed agespecific rates for the condition had applied in a given standard population. Tables 2.2 and 6.3 use the European Standard Population. This is a hypothetical population standard which is the same for both males and females allowing standardised rates to be compared for each sex, and between males and females. Abortions Figures relate to numbers occurring in a period. Marriages and divorces Marriages are tabulated according to date of solemnisation. Divorces are tabulated according to date of decree absolute, and the term ‘divorces’ includes decrees of nullity. Government Office Regions Figures refer to Government Office Regions (GORs) of England which were adopted as the primary classification for the presentation of regional statistics from April 1997. A map showing the GORs is included on page 71. Health Regional Office areas Figures refer to new health regions of England which are as constituted on 1 April 1996. Sources Figures for Scotland and Northern Ireland shown in these tables (or included in totals for the United Kingdom or Great Britain) have been provided by their respective General Register Offices, except for the projections in Table1.2 which are provided by the Government Actuary. Rounding All figures are rounded independently; constituent parts may not add to totals. Generally numbers and rates per 1,000 population are rounded to one decimal place (e.g. 123.4); where appropriate, for small figures (below 10.0), two decimal places are given (e.g. 7.62). Figures which are provisional or estimated are given in less detail (e.g. 123 or 7.6 respectively) if their reliability does not justify giving the standard amount of detail. Where, for some other reason, figures need to be treated with particular caution, an explanation is given as a footnote. Latest figures Figures for the latest quarters and years may be provisional (see note above on rounding) and will be updated in future issues when later information becomes available. Where figures are not yet available, cells are left blank. Population estimates and rates based on them may be revised in the light of results from future censuses of populations. Health Statistics Quar terly 01 Spring 1999 Recent ONS publications All Change? The Health Education Monitoring Survey one year on (The Stationery Office, September, £30, ISBN 0 11 621065 6). Travel Trends 1997 (The Stationery Office, November, £39.50, ISBN 0 11 621090 7). Mortality Statistics 1996: injury and poisoning (The Stationery Office, September, £30, ISBN 0 11 621070 2). Family spending 1997–98 (The Stationery Office, November, £39.50, ISBN 0 11 621047 8). Focus on the South West (The Stationery Office, October, £30, ISBN 0 11 621064 8). Mortality Statistics 1997 – Cause (The Stationery Office, December, £35, ISBN 0 11 621095 8). Social Focus on Women and Men (The Stationery Office, October, £30, ISBN, 0 11 621069 9). Mortality Statistics 1996 – General (The Stationery Office, December, £25, ISBN 0 11 621094 X). Smoking-related behaviour and attitudes, 1997 (ONS, October, £8, ISBN 1 85774 289 3). Abortion Statistics 1997 (The Stationery Office, December, £25, ISBN 0 11 621093 1). Psychiatric morbidity among prisoners in England and Wales (The Stationery Office, October, £45, ISBN 0 11 621045 1). Social Trends 1999 (The Stationery Office, January, £39.50, ISBN 0 11 621067 2). Cancer statistics: registrations 1992 (The Stationery Office, November, £30, ISBN 0 11 621091 5). Congenital Anomaly Statistics (MB3 no. 26) (The Stationery Office, January, £25, ISBN 0 11 621156 3). G OVERNMENT O FFICE REGIONS ENGLAND AND COUNTIES IN Government Office Regions Northumberland NORTH Tyne & Wear EAST Cumbria Durham NORTH WEST Cleveland North Yorkshire YORKSHIRE AND THE HUMBER Humberside Lancashire W Yorks Greater Manchester MERSEYSIDE Merseyside S Yorks Derbyshire Cheshire Staffordshire Notts EAST MIDLANDS Lincolnshire Norfolk Leicestershire Shropshire West Midlands WEST MIDLANDS Hereford & Worcester Northants Cambridgeshire Warwickshire EASTERN Beds Suffolk Bucks Herts Gloucestershire Essex Oxfordshire LONDON Avon Berkshire Wiltshire Surrey Hampshire Somerset West Sussex SOUTH WEST Devon Kent SOUTH EAST East Sussex Dorset Isle of Wight Cornwall 71 Office for National Statistics