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Forecasting population changes and service requirements in the regions: a study of two regional councils in Queensland, Australia


Author Info

  • Wasantha Athukorala


  • Prasad Neelawela


  • Clevo Wilson


  • Evonne Miller


  • Tony Sahama


  • Peter Grace


  • Mike Hefferan

    (University of Sunshine Coast)

  • Premawansa Dissanayake


  • Oshan Manawadu



Forecasting population growth to meet the service needs of a growing population is a vexed issue. The task of providing essential services becomes even more difficult when future population growth forecasts are unavailable or unreliable. The aim of this paper is to identify the main methods used in population forecasting and thereby select an approach to demonstrate that such forecasting can be undertaken with certainly and transparency, barring exogenous events. We then use the population forecasts to plan for service needs that arise from changes in population in the future. Interestingly, although there are techniques available to forecast such future population changes and much of this forecasting occurs, such work remains somewhat clouded in mystery. We strive to rectify this situation by applying an approach that is verifiable, transparent, and easy to comprehend. For this purpose we select two regional councils in Queensland, Australia. The experience derived from forecasting shows that forecasts for service needs of larger populations are more easily and accurately derived than for smaller populations. Hence, there is some evidence, at least from a service provision point of view, to justify the benefits of council/ municipality amalgamation in recent times in Australia and elsewhere. The methodology used in this paper for population forecasting and the provision of service needs based on such forecasts will be of particular interest to policy decisionmakers and planners.

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Bibliographic Info

Paper provided by School of Economics and Finance, Queensland University of Technology in its series School of Economics and Finance Discussion Papers and Working Papers Series with number 263.

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Date of creation: 09 Dec 2010
Date of revision:
Handle: RePEc:qut:dpaper:263

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Keywords: Regional Population forecasting; service provision; Box-Jenkins model;

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