The Rental Vacancies component is based on all monitored and unique online listings for the period of a calendar month. The series starts off in January 2005.
All listings are taken from online monitoring of major listings sites. Only those properties with unique addresses or a unique listing id are used. Those advertisements with no addresses are excluded from the series. Any addresses repeated between sites are de-duped.
Only those listings that have been advertised for three weeks or more are used.
For years 2001, 2006 and 2011 we use the number of total established Dwellings (as a base) by postcode as determined by the ABS census, and multiply this by the percentage of renters for each postcode also provided in the census. With the 2016 census update we have used the number of renters as counted plus a proportion of renters multiplied by occupant not stated nor applicable. Years and months in between census points are interpolated. This provides an estimated available total stock for rent.
The numerator is then divided into the denominator, which provides a vacancy rate percentage.
Some have argued that using online real estate listings cannot be done because of advertising of false listings and properties that are only advertised for a fleeting moment as they are taken up immediately. We have addressed those issues.
We have left out those ads without an advertised address or unique property id and have also taken into account a whole month’s worth of listings which automatically adjusts for those ads withdrawn quickly.
All projections and compilations of underlying property data are compiled and published by SQM Research Pty Ltd. Copyright © 2022 ABN 93 122 592 036
In compiling this information, SQM Research relies upon information supplied by a number of external sources. The publication is supplied on the basis that, while SQM Research believes all the information in it will be correct at the time of publication, it does not warrant its accuracy or completeness and to the full extent allowed by law excludes liability in contract, tort or otherwise, for any loss or damage sustained by subscribers, or by any other person or body corporate arising from or in connection with the supply or use of the whole or any part of the information in this publication through any cause whatsoever and limits any liability it may have to the amount paid to SQM research for the supply of such information.
Any republication of the information for commercial purposes is strictly prohibited, unless express prior permission has been granted by SQM Research.
The data and projections should be used as a guide only and should not be relied upon in making investment decisions.
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