Project: State of the Queensland Rental Market

This project showcases the current rental market within the state of Queensland. By showing the previous nine months of new bonds commencing, registered with the Queensland Residential Tenancies Authority, the system allows users to investigate the rental market around them.

People are able to see for each suburb, the different number of new rentals that commenced in the last nine months, statistics on the weekly rental price and the different types of properties that make up the suburb. By presenting the new rentals over the nine month period, users are able to see when there is a large amount of change occurring in suburb. This allows them to identify potentially when is the best or worst time to consider moving to a new suburb. It also identifies what the average rental value is within the suburb for the month so tenants and owners can see if they are getting the better end of the deal.

Image of website

How was it made?

The project uses a standard web technology stack (front end – HTML5, CSS, JS; back end – PHP, MySQL) for delivering the outcomes. A number of client-side frameworks (Twitter Bootstrap [], Google Maps [], Google Charts [], Map Icons []) to present the RTA data in a meaningful format.

Project Developer

Jason Weigel is a PhD student at The University of Queensland (UQ) working Remote Collaboration around Physical Artefacts with Dr Stephen Viller and Dr Mark Schulz. He currently has a Bachelor of Information Technology and Master of Interaction Design from UQ also.

Datasets Used

QLD Residential Tenancies Authority rental bond data - []

The rental bond data was used to analyse the statistics of the different suburbs rental data over the nine month period in which the data is available.

Australian Bureau of Statistics suburb boundaries - []

The suburb boundaries was used to find the geographical location of the suburb for mapping the rental data onto a map.

Nominations for GovHack 2014 Prize Categories

National: The Best Open Government Hack

National: The Best Business Hack - Best overall Business hack

National: The Best Data Journalism Hack - Best overall Data Journalism hack

Local (Brisbane): Best Use of Queensland Government Data

Local (Brisbane): The Griffith University Prize

Other: Best University Teams