The Residential Market Index (RMX) provides an accessible weekly guide to the Victorian residential property market.

The RMX is the most up-to-date indicator for buyers, sellers and property market observers.

About the RMX

The REIV Residential Market Index (RMX) is a residential property price index (RPPI) designed to provide a current, simple insight into real property price trends in Victoria. An RPPI measures the price change of the stock of residential dwellings over time.


Last Updated: 23 January 2020

The RMX was at an upwards trend for the second half of 2019, a positive outlook for property prices.
Last week the RMX fell again by 2.1 per cent to 121.8. This seasonal dip is expected in the first few weeks of the new year, as seen with historic RMX figures.

The REIV House Index has been more stable than the RMX and less vulnerable to seasonal dips in January and July. 
House prices had been at a descent since April 2018, however, the last eight months have shown significant recovery.

The last two months of 2019 was a remarkable time for unit prices, with weekly figures beating the REIV Unit Index record of 131.0 seen in mid-2017. 
A weekly result in early December of 134.6 was recorded as a historic high since the data was first captured in 2016.

Note: Due to low activities this month, there is no House and Unit Index data available for last week.
Why use a Residential Property Price Index?

There are several areas where RPPIs play a role. Because of the importance of the housing market in the Australian economy, RPPIs are of interest to policy makers, market analysts, researchers, and home buyers and sellers for a range of economic and social reasons. They can be used as a macro-economic indicator of economic activity, for use in monetary policy and inflation targeting, and as an input into the Consumer Price Index.

The REIV team developed the RMX as a more frequent, alternative measure to quarterly medians so members can access the latest price movements as they happen.
Medians or RMX?

Both measures have a role to play in understanding the property market. While the medians are an indicator of sale price during a period, the RMX is a measure of price movement over time.

A limitation of medians and simple median indices as measures of price change is that the properties used to calculate a median are only those traded during the period in question. This comparatively small number of properties are not always representative of the total stock of housing. Changes in the mix of properties sold during a period will therefore affect the sample median price much more than the overall median price of the housing stock. For example, if more higher-end houses sell this quarter than last, the median price will rise regardless of whether that reflects what is going on in the wider market.
Index based on total properties in the region Price based on properties sold during the period
Updated weekly for a current price trend Updated quarterly for a more macro view of the market
Indicates overall pricing changes, taking into account the total supply in the region Medians can be influenced by type of properties sold during the period


RMX Methodology

There are several methods for calculating RPPIs. The method utilised for the RMX is the stratification method. This involves separating all the residential properties in Victoria into sub-groups called strata, then calculating medians for these strata.

The subgroup medians are then given a ‘weight’ based on the number of dwellings in that subgroup (based on the 2016 census information) to obtain an overall measure of price for the state. This means that if more properties at the upper end of the market sell during the period in question, more ‘weight’ is given to the lower-end strata to balance the impact on the RMX.

Currently the REIV tracks three indices: the RMX, which includes all residential properties in Victoria; the House Index, which includes all houses in Victoria; and the Unit Index, which includes all units, apartments and townhouses in Victoria.

*Weekly minimum sample size (i.e. the minimum number of sales in the reporting period required to display an index result) is determined via a confidence level of 95%; an estimate of population size based on the average of sales in the month in question from previous years; and a confidence interval of 3 percentage points. This means that in 95% of cases the index value calculated from our minimum sample size will fall within 3 per cent of the index value if it were calculated from all sales in the period when collected.