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The Growth of Australia’s Very Elderly Population: Past Estimates and Probabilistic Forecasts

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Book cover The Frontiers of Applied Demography

Part of the book series: Applied Demography Series ((ADS,volume 9))

Abstract

Official population estimates in Australia are overstated at the very highest ages, resulting in inaccurate mortality rates, and unreliable forecasts. Official population forecasts are not accompanied by information about their uncertainty, and do not extend into the centenarian ages. The aim of this chapter is to present more accurate estimates of the very elderly population of Australia (those aged 85+) from 1971 to 2014, and probabilistic forecasts out to 2051 by sex and single years of age up to age 110+. Population estimates were calculated from death counts using Extinct Cohort and Survivor Ratio methods, the latter being a newly-refined version. Population forecasts were produced using a probabilistic cohort-component model. The 85+ population of Australia grew from 69,000 in 1971 to 456,000 in 2014, in large part due to mortality reductions. It is forecast to increase to 1.90 million by 2051, with the 95 % prediction interval spanning 1.51 to 2.37 million. The future growth in centenarians is proportionally far greater, but relatively more uncertain. Although the extent of future growth cannot be forecast precisely, huge increases in Australia’s very elderly population will eventuate.

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Abbreviations

ABS:

Australian Bureau of Statistics

ERP:

Estimated Resident Population

HMD:

Human Mortality Database

PROBPOP:

PROBabilistic POpulation Projections program

RIDR:

Relative Inter-Decile Range

References

  • ABS. (2008). Australian historical population statistics, 2008. Canberra: ABS.

    Google Scholar 

  • ABS. (2014). Population projections, Australia, 2012 (base) to 2101. Canberra: ABS.

    Google Scholar 

  • ABS. (2015). Australian demographic statistics (March quarter 2015). Canberra: ABS.

    Google Scholar 

  • Alho, J. M., Hougaard Jensen, S. E., & Lassila, J. (Eds.). (2008). Uncertain demographics and fiscal sustainability. Cambridge: Cambridge University Press.

    Google Scholar 

  • Beard, J., Biggs, S., Bloom, D., Fried, L., Hogan, P., Kalache, A., & Olshansky, J. (2012). Global population ageing: Peril or promise? (Working Paper No. 89). Program on the Global Demography of Aging, Harvard University.

    Google Scholar 

  • Bell, M., Wilson, T., & Charles-Edwards, E. (2011). Australia’s population future: probabilistic forecasts incorporating expert judgement. Geographical Research, 49(3), 261–275.

    Article  Google Scholar 

  • Bongaarts, J. (2014). Trends in causes of death in low-mortality countries: Implications for mortality projections. Population and Development Review, 40(2), 189–212.

    Article  Google Scholar 

  • Coale, A. J., & Caselli, G. (1990). Estimation of the number of persons at advanced ages from the number of deaths at each age in the given year and adjacent years. Genus, 46(1/2), 1–23.

    Google Scholar 

  • Chomik, R., & MacLennan, M. (2014). CEPAR research brief 2014/01 and 2014/02. Sydney: The University of New South Wales. Aged care in Australia.

    Google Scholar 

  • Christensen, K., Doblhammer, G., Rau, R., & Vaupel, J. W. (2009). Ageing populations: The challenges ahead. The Lancet, 374, 1196–1208.

    Article  Google Scholar 

  • Cubit, K. A., & Meyer, C. (2011). Aging in Australia. The Gerontologist, 51, 583–589.

    Article  Google Scholar 

  • Department of Immigration and Border Protection. (2015). The outlook for net overseas migration as at June 2015. Canberra: DIBP.

    Google Scholar 

  • Dépoid, F. (1973). La mortalitÕ des grands vieillards (French Edition). Population, 28(4/5), 755–792.

    Google Scholar 

  • Human Mortality Database. (2015). University of California, Berkeley (USA), and Max Planck Institute for Demographic Research (Germany). Available at www.mortality.org

  • Jdanov, D. A., Scholz, R. D., & Shkolnikov, V. M. (2005). Official population statistics and the Human Mortality Database estimates of populations aged 80+ in Germany and nine other European countries. Demographic Research, 13, 14–14.

    Google Scholar 

  • Kannisto, V., Lauritsen, J., Thatcher, A. R., & Vaupel, J. W. (1994). Reductions in mortality at advanced ages: Several decades of evidence from 27 countries. Population and Development Review, 20(4), 793–810.

    Article  Google Scholar 

  • Keilman, N. (2008). European demographic forecasts have not become more accurate over the past 25 years. Population and Development Review, 34, 137–153.

    Article  Google Scholar 

  • Lee, R. D. (1999). Probabilistic approaches to population forecasting. In W. Lutz, J. Vaupel, & D. A. Ahlburg (Eds.), Frontiers of population forecasting (pp. 156–190). New York: Population Council.

    Google Scholar 

  • Lutz, W., Sanderson, W. C., & Scherbov, S. (2004). The end of world population growth. In W. Lutz, W. C. Sanderson, & S. Scherbov (Eds.), The end of world population growth in the 21st century (pp. 17–83). London: Earthscan.

    Google Scholar 

  • McCormack, J. (2010). Being very old in a young country: Centenarians and supercentenarians in Australia. In H. Maier, J. Gampe, B. Jeune, J. W. Vaupel, & J.-M. Robine (Eds.), Supercentenarians (pp. 101–117). Dordrecht: Springer.

    Chapter  Google Scholar 

  • ONS. (2015). Estimates of the very old (including Centenarians), England and Wales, and United Kingdom, 2002 to 2014. Statistical Bulletin. London: ONS.

    Google Scholar 

  • Peto, R., Lopez, A. D., Boreham, J., & Thun, M. (2006). Mortality from smoking in developed countries 1950–2000. Australia, www.deathsfromsmoking.net.

    Google Scholar 

  • Productivity Commission. (2013). An ageing Australia: Preparing for the future. Canberra: Productivity Commission.

    Google Scholar 

  • Rowland, D. T. (2012). Population aging. Dordrecht: Springer.

    Book  Google Scholar 

  • Terblanche, W. (2015a). Population estimates and projections for Australia’s very elderly population at state and national level. PhD thesis, University of Queensland, Brisbane, Australia.

    Google Scholar 

  • Terblanche, W. (2015a). Explaining the substantial growth of centenarian populations in Australia’s states, 1981 to 2012’. Journal of Population Research, 32(2), 81–93.

    Article  Google Scholar 

  • Terblanche, W., & Wilson, T. (2014). Understanding the growth of Australia’s very elderly population, 1976 to 2012. Journal of Population Ageing, 7(4), 301–322.

    Article  Google Scholar 

  • Terblanche, W., & Wilson, T. (2015a). Accuracy of nearly-extinct-cohort methods for estimating very elderly sub-national populations. International Journal of Population Research.

    Google Scholar 

  • Terblanche, W., & Wilson, T. (2015b). An evaluation of nearly-extinct cohort methods for estimating the very elderly populations of Australia and New Zealand. PLOS ONE, 10(4).

    Google Scholar 

  • Thatcher, A. R. (1992). Trends in numbers and mortality at high ages in England and Wales. Population Studies, 46(3), 411–426.

    Article  Google Scholar 

  • Thatcher, A. R. (1999). The demography of centenarians in England and Wales. Population Trends, 96(Summer 1999), 5–12.

    Google Scholar 

  • Thatcher, A. R., Kannisto, V., & Andreev, K. F. (2002). The survivor ratio method for estimating numbers at high ages. Demographic Research, 6, 1–18.

    Article  Google Scholar 

  • Trovato, F. (2005). Narrowing sex differential in life expectancy in Canada and Austria: Comparative analysis. Vienna Yearbook of Population Research, 2005, 17–52.

    Google Scholar 

  • Treasury. (2015). 2015 Intergenerational report: Australia in 2055. Canberra: Commonwealth of Australia.

    Google Scholar 

  • Vaupel, J. W., & Jeune, B. (1995). The emergence and proliferation of centenarians. In B. Jeune & J. W. Vaupel (Eds.), Odense monographs on population aging vol 2, Exceptional longevity: From prehistory to the present (Vol. 2). Odense: Odense University Press.

    Google Scholar 

  • Vincent, P. (1951). La mortalité des vieillards. Population (French Edn), 181–204.

    Google Scholar 

  • Wilmoth, J. R., Andreev, K. F., Jdanov, D. A., Glei, D. A., Boe, C., Bubenheim, M., Philipov, D., Shkolnikov, V., & Vachon, P. (2007). Methods protocol for the Human Mortality Database. University of California, Berkeley, and Max Planck Institute for Demographic Research, Rostock. http://mortality.org [version 31/05/2007].

  • Wilson, T., & Bell, M. (2004). Australia’s uncertain demographic future. Demographic Research, 11(8), 195–234.

    Article  Google Scholar 

  • Wilson, T., & Rees, P. (2005). Recent developments in population projection methodology: A review. Population, Space and Place, 11(5), 337–360.

    Article  Google Scholar 

  • Wilson, T. (2012). Forecast accuracy and uncertainty of Australian Bureau of Statistics state and territory population projections. International Journal of Population Research, 2012.

    Google Scholar 

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Author information

Authors and Affiliations

  1. Northern Institute, Charles Darwin University, Darwin, NT, 0909, Australia

    Tom Wilson

  2. Bond Business School, Bond University, Gold Coast, Qld, 4229, Australia

    Wilma Terblanche

Authors
  1. Tom Wilson
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  2. Wilma Terblanche
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Correspondence to Tom Wilson .

Editor information

Editors and Affiliations

  1. Department of Sociology, University of California at Riverside, Riverside, California, USA

    David A. Swanson

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Wilson, T., Terblanche, W. (2017). The Growth of Australia’s Very Elderly Population: Past Estimates and Probabilistic Forecasts. In: Swanson, D. (eds) The Frontiers of Applied Demography. Applied Demography Series, vol 9. Springer, Cham. https://doi.org/10.1007/978-3-319-43329-5_7

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  • DOI: https://doi.org/10.1007/978-3-319-43329-5_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-43327-1

  • Online ISBN: 978-3-319-43329-5

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