TY - JOUR
T1 - An Australian rental housing conditions research infrastructure
AU - Baker, Emma
AU - Daniel, Lyrian
AU - Beer, Andrew
AU - Bentley, Rebecca
AU - Rowley, Steven
AU - Baddeley, Michelle
AU - London, Kerry
AU - Stone, Wendy
AU - Nygaard, Christian
AU - Hulse, Kath
AU - Lockwood, Anthony
N1 - Funding Information:
The project was funded by the Australian Research Council (LE190100132) and The University of Adelaide, in partnership with the University of South Australia, the University of Melbourne, Swinburne University of Technology, Curtin University and Western Sydney University. The Australian Housing and Urban Research Institute funded the COVID-19 module (20/PRO/31254).
Funding Information:
The project was funded by the Australian Research Council through the Linkage Infrastructure, Equipment and Facilities (LIEF) grant program, with additional financial support provided by the Australian Housing and Urban Research Institute (AHURI). These two funding sources enabled the collection of large-scale data able to inform a number of different types of analyses focussed on a range of issues.
Funding Information:
The project was funded by the Australian Research Council (LE190100132) and The University of Adelaide, in partnership with the University of South Australia, the University of Melbourne, Swinburne University of Technology, Curtin University and Western Sydney University. The Australian Housing and Urban Research Institute funded the COVID-19 module (20/PRO/31254).
Publisher Copyright:
© 2022, The Author(s).
PY - 2022/12
Y1 - 2022/12
N2 - Each year the proportion of Australians who rent their home increases and, for the first time in generations, there are now as many renters as outright homeowners. Researchers and policy makers, however, know very little about housing conditions within Australia’s rental housing sector due to a lack of systematic, reliable data. In 2020, a collaboration of Australian universities commissioned a survey of tenant households to build a data infrastructure on the household and demographic characteristics, housing quality and conditions in the Australian rental sector. This data infrastructure was designed to be national (representative across all Australian States and Territories), and balanced across key population characteristics. The resultant Australian Rental Housing Conditions Dataset (ARHCD) is a publicly available data infrastructure for researchers and policy makers, providing a basis for national and international research.
AB - Each year the proportion of Australians who rent their home increases and, for the first time in generations, there are now as many renters as outright homeowners. Researchers and policy makers, however, know very little about housing conditions within Australia’s rental housing sector due to a lack of systematic, reliable data. In 2020, a collaboration of Australian universities commissioned a survey of tenant households to build a data infrastructure on the household and demographic characteristics, housing quality and conditions in the Australian rental sector. This data infrastructure was designed to be national (representative across all Australian States and Territories), and balanced across key population characteristics. The resultant Australian Rental Housing Conditions Dataset (ARHCD) is a publicly available data infrastructure for researchers and policy makers, providing a basis for national and international research.
UR - http://www.scopus.com/inward/record.url?scp=85123972958&partnerID=8YFLogxK
UR - https://doi.org/10.25905/21600537.v1
U2 - 10.1038/s41597-022-01136-5
DO - 10.1038/s41597-022-01136-5
M3 - Article
C2 - 35110558
AN - SCOPUS:85123972958
SN - 2052-4463
VL - 9
JO - Scientific data
JF - Scientific data
IS - 1
M1 - 33
ER -
