Housing Stress Today: Estimates for Statistical Local Areas in 2005
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).
|Date of creation:||Mar 2007|
|Publication status:||Published on the NATSEM web site, December 2006, pages 1-33|
|Contact details of provider:|| Postal: University of Canberra, ACT 2601|
Phone: +61 2 (02) 6201 2750
Fax: +61 2 (02) 6201 2751
Web page: http://www.natsem.canberra.edu.au/
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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.
- 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.
When requesting a correction, please mention this item's handle: RePEc:cba:wpaper:0619. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Peter Trueman)
If references are entirely missing, you can add them using this form.