From Australian Urban Research Infrastructure Network
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VIC DHHS - Rental Report - Quarterly Median Rents 4 Bedroom Houses (LGA) Jun 1999-Dec 2017

Created 04/05/2025

Updated 04/05/2025

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The Rental Report time series dataset provides detailed time-series statistics for some key Rental Report data from the June quarter of 1999 to the December quarter of 2017. This specific dataset presents the median rental costs of 4 bedroom houses by the 2016 Local Government Areas geographic level. The rent figures included in the Rental Report are weekly median rents. Median rents represent the midpoint in the distribution of all rents. Fifty per cent of rents are higher than the median and fifty per cent are below the median. The Rental Report provides the most accurate information on the private rental market in Victoria. The data come from records kept by the Residential Tenancies Bond Authority (RTBA). The RTBA is responsible for receiving, registering and refunding all bonds associated with private residential leases in Victoria. For more information please visit the Department of Health and Human Services.

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Additional Info

Field Value
Title VIC DHHS - Rental Report - Quarterly Median Rents 4 Bedroom Houses (LGA) Jun 1999-Dec 2017
Language English
Licence CC-BY-4.0
Landing Page https://devweb.dga.links.com.au/data/dataset/e29fcf82-4053-4fcb-be48-d727c8f75a93
Remote Last Updated 06/03/2025
Contact Point
Government of Victoria - Department of Health and Human Services
test@email.loc
Reference Period 06/03/2025
Geospatial Coverage {"type": "Polygon", "coordinates": [[[140.96, -39.16], [149.98, -39.16], [149.98, -33.98], [140.96, -33.98], [140.96, -39.16]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on Australian Urban Research Infrastructure Network "VIC DHHS - Rental Report - Quarterly Median Rents 4 Bedroom Houses (LGA) Jun 1999-Dec 2017". Please visit the source to access the original metadata of the dataset:
https://data.aurin.org.au/dataset/vic-govt-dhhs-vic-dhhs-rent-4br-house-lga-2017-lga2016

Original dataset
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No duplicate datasets found.