Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/134767
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Type: | Journal article |
Title: | An Australian rental housing conditions research infrastructure |
Author: | Baker, E. Daniel, L. Beer, A. Bentley, R. Rowley, S. Baddeley, M. London, K. Stone, W. Nygaard, C. Hulse, K. Lockwood, A. |
Citation: | Scientific Data, 2022; 9(1):33-1-33-5 |
Publisher: | Nature Research (part of Springer Nature) |
Issue Date: | 2022 |
ISSN: | 2052-4463 2052-4463 |
Statement of Responsibility: | Emma Baker, Lyrian Daniel, Andrew Beer, Rebecca Bentley, Steven Rowley, Michelle Baddeley, Kerry London, Wendy Stone, Christian Nygaard, Kath Hulse, Anthony Lockwood |
Abstract: | 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. |
Description: | Published online: 02 February 2022 |
Rights: | © The Author(s) 2022. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
DOI: | 10.1038/s41597-022-01136-5 |
Grant ID: | http://purl.org/au-research/grants/arc/LE190100132 |
Appears in Collections: | Architecture publications |
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hdl_134767.pdf | Published version | 814.96 kB | Adobe PDF | View/Open |
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