Community Housing in Tasmania: Who Applies for It?

Abstract

Community housing is increasingly seen as an alternative to public housing by government. However, little is known about the demand for community housing, the relationship with public housing waiting lists and the flow of people between different housing tenures, such as public housing and private rental. In this article we analyse the demand for community housing in Tasmania. We examine who applies for community housing, why they apply and how their needs may differ from or overlap with demand for public housing. This research is based on 499 applications for community housing in southern Tasmania. Applications were made to a medium sized, non-government housing association—Red Shield Housing Association (RSHA)—between December 1998 and December 2001. Our research suggests that the majority of people applying for community housing were already on public housing waiting lists. Those seeking community housing differ little from applicants for public housing. However, women and sole parents were more likely to apply for both community and public housing while men and single applicants were more likely to apply only for community housing. This could be connected to who is likely or not to get into public housing and perhaps men and singles see less chance of getting into public housing. The implication is that low income earners are primarily concerned with access to affordable housing, which is in short supply, and the majority of applicants will apply for both public and community housing if given the opportunity. We note that the transfer of public housing stock to the community sector does not increase the supply of affordable housing stock or provide a greater choice of affordable properties to low income and disadvantaged households, although it could provide greater choice for some groups who do not perceive public housing to be an option.

Keywords:

• Community housing
• applications
• choice
• demand

Notes

1. Technically, we predicted those seeking a house as opposed to a unit as the dependent variable, with gender, age and size of household as independent variables with logistic regression. We also added an interaction variable (gender by household size), although the inclusion of the interaction term did not significantly improve the model fit.