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Property Statistics Australia

property statistics australia If you are looking for Australian property statistics then you should consider buying one of RP Data's property reports. We are Australia's number one provider of property information and we compile a range of statistical information on both residential and commercial housing.

There's a good reason why professionals throughout the country choose to use our real estate statistics to get to know their local housing market. Our statistics and reports are compiled from our data base of over 57 million property records obtained from a wide variety of sources including State and Local Governments as well as direct entry by real estate agents. This gives us some of the most up to date information on the trends in the Australian housing market.

Some of the biggest names in the Australian real estate industry use our data as a basis for their property research.

RP believes it offers the vital stats when it comes to buying a house. When you are researching residential property you will want to know such statistics as median prices for houses, units and land. You will also be interested in analysing capital growth trends, demographics and details of recent real estate sales values. All of these can be sourced from our service easily and at a reasonable value. Most people start researching a local housing market by finding out what price people are asking for their houses and then form a conclusion with this information. But the smart property investors take their analysis a bit further by studying the properties that have recently sold and what they have sold for as well as where the suburb's median house or unit price is heading.

The median is generally seen as the most accurate statistical measure for property. The median price is the middle of a distribution of house sales. Half the scores are above the median and half are below the median. The median is less sensitive to extreme scores than the mean ( or average ) and this makes it a better measure than the mean for highly skewed distributions. Housing statistics are particularly susceptible to skewed distributions due to the nature of the asset. For example a suburb could contain one street which has a higher quality of houses than the suburb in general. If several houses on that street sell within a quarter it may skew the mean but the median will most likely not suffer as large a variation although it will be affected to at least some extent.