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Simplifying Local Area Population and Household Projections with POPART

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Emerging Techniques in Applied Demography

Part of the book series: Applied Demography Series ((ADS,volume 4))

Abstract

The preparation of local area population and household projections by age frequently involves many challenges, such as non-trivial input data costs, complex data adjustment and smoothing, boundary changes, complicated or inappropriate software, difficulties in choosing suitable projection assumptions, and tight timeframes. In the current economic climate this is often set within the context of reduced staffing and budgets. This chapter introduces the POPART (Population Projections for an Area, Region or Town) software which was developed to help overcome some of these challenges. POPART is an Excel-based bi-regional cohort-component population projection model coupled with a household model. It contains a number of features that assist the preparation of projections, including a short training period, limited input data requirements, simplified assumption-setting via summary indicators (Total Fertility Rate, life expectancy at birth, and net migration totals), and an emphasis on graphics to aid the presentation and validation of outputs. Illustrative population and household projections for the local government area of Noosa in Queensland demonstrate key features of the software.

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Author information

Authors and Affiliations

  1. Queensland Centre for Population Research, School of Geography, Planning and Environmental Management, The University of Queensland, Brisbane, QLD, Australia

    Tom Wilson

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  1. Tom Wilson
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Correspondence to Tom Wilson .

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Editors and Affiliations

  1. Hobby Center for Public Policy, University of Houston, Houston, Texas, USA

    M.Nazrul Hoque

  2. Department of Demography Inst of Demog and Socioeconomic Research, University of Texas at San Antonio, San Antonio, Texas, USA

    Lloyd B. Potter

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Wilson, T. (2015). Simplifying Local Area Population and Household Projections with POPART. In: Hoque, M., B. Potter, L. (eds) Emerging Techniques in Applied Demography. Applied Demography Series, vol 4. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-8990-5_3

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