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Housing Stress Today: Estimates for Statistical Local Areas in 2005


  • Ben Phillips

    () (NATSEM, University of Canberra)

  • S.F. Chin
  • Ann Harding

    () (NATSEM, University of Canberra)


This paper presents estimates of housing stress for Statistical Local Areas (SLA) in Victoria, Queensland and the ACT in 2005. The estimates were created by synthesising small-area microdata for measuring housing stress. The technique involves the reweighting of a national ABS sample survey to Census benchmarks for each small area at the SLA level. The reweighting process converts the set of national household weights obtained from the sample survey into sets of household weights for small areas (one set per SLA). This paper defines a household in housing stress as being one that is in the bottom 40 per cent of equivalent household disposable income and whose net spending on housing after subtracting any rent assistance received is more than 30 per cent of their income (i.e. a 'net' rather than 'gross' housing stress measure). Housing stress was found to be more prevalent in the urban areas - especially in the capital cities, followed by other urban centres (especially the fast-growing regions on the eastern seaboard).

Suggested Citation

  • Ben Phillips & S.F. Chin & Ann Harding, 2007. "Housing Stress Today: Estimates for Statistical Local Areas in 2005," NATSEM Working Paper Series 2006 019, University of Canberra, National Centre for Social and Economic Modelling.
  • Handle: RePEc:cba:wpaper:0619

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    References listed on IDEAS

    1. Gavin A Wood & Matthew Forbes & Kenneth Gibb, 2005. "Direct subsidies and housing affordability in Australian private rental markets," Environment and Planning C: Government and Policy, Pion Ltd, London, vol. 23(5), pages 759-783, October.
    2. Mark Tranmer & Andrew Pickles & Ed Fieldhouse & Mark Elliot & Angela Dale & Mark Brown & David Martin & David Steel & Chris Gardiner, 2005. "The case for small area microdata," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 168(1), pages 29-49.
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    Cited by:

    1. Robert Tanton & Paul Williamson & Ann Harding, 2014. "Comparing Two Methods of Reweighting a Survey File to Small Area Data," International Journal of Microsimulation, International Microsimulation Association, vol. 7(1), pages 76-99.
    2. Cathal O'Donoghue & Karyn Morrissey & John Lennon, 2014. "Spatial Microsimulation Modelling: a Review of Applications and Methodological Choices," International Journal of Microsimulation, International Microsimulation Association, vol. 7(1), pages 26-75.
    3. Robert Tanton, 2014. "A Review of Spatial Microsimulation Methods," International Journal of Microsimulation, International Microsimulation Association, vol. 7(1), pages 4-25.

    More about this item


    spatial microsimulation; housing affordability;

    JEL classification:

    • H83 - Public Economics - - Miscellaneous Issues - - - Public Administration
    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty


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