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What Is the Difference Between Median and Average Property Price in Australia?

June 24, 2026

What Is the Difference Between Median and Average Property Price in Australia?

Median and average property prices are the two most commonly cited statistics in Australian real estate reporting — and they are used interchangeably in media coverage despite measuring fundamentally different things. Understanding the difference is essential for any investor or buyer who uses suburb price data to make decisions.

What Is the Median Property Price?

The median property price is the middle value when all sales in a suburb are ranked from lowest to highest. Exactly half of all sales are above the median and half are below it. If there are 101 sales in a suburb, the median is the price of the 51st sale when ranked by price.

Example: 5 sales in a suburb at $600k, $650k, $700k, $1.2M, $3.5M.
Median = $700,000 (the middle value)

What Is the Average Property Price?

The average (or mean) property price is calculated by adding all sale prices together and dividing by the number of sales. It is pulled upward by high-value outliers.

Example (same 5 sales): ($600k + $650k + $700k + $1.2M + $3.5M) / 5 = $1,330,000
Average = $1,330,000 — nearly double the median, driven by the two high-value sales

Median vs Average — Side-by-Side Comparison

Measure How Calculated Affected by Outliers? Best Used For
Median Middle value in ranked dataset No Understanding what a typical property sells for
Average (Mean) Sum of all values / number of sales Yes, significantly Calculating total market turnover value

Why Does This Matter for Property Investors?

The Skew Problem

In suburbs with a small number of very high-value sales (penthouse apartments, large waterfront homes, new development stock), the average price can be 20 to 40% higher than the median — creating a misleading impression of what a standard property in that suburb costs. A first-home buyer or investor relying on average price data may budget incorrectly or wrongly assess affordability.

The Small Sample Problem

Both median and average become unreliable in suburbs with fewer than 20 sales per quarter. A single $5M off-market sale can move the average dramatically; even the median can be distorted by a small sample. Always check the number of sales (volume) alongside the price metric.

House vs Unit Separation

Suburbs with a mix of houses and units should always be assessed with separate median prices for each property type. A suburb-wide median of $900,000 may conceal a house median of $1.3M and a unit median of $550,000 — two very different markets.

Which Data Sources to Use for Suburb Price Data

Source Metric Reported Update Frequency Reliability
CoreLogic Median (rolling 12 months) Monthly High — industry standard
Domain / REA Group Median (quarterly) Quarterly High for capital cities
REIV (VIC) Median (quarterly) Quarterly High for VIC
ABS (Census) Median mortgage / rent (Census date) 5 years High but dated
Media reports Often average — sometimes unclear Varies Check the methodology

Frequently Asked Questions

Which is more useful — median or average price?

For property investment decisions, median price is almost always more useful. It gives you a reliable sense of what a typical property in a suburb costs, unaffected by a handful of extreme sales. Use the median for budgeting, yield calculations, and suburb-to-suburb comparisons.

Why do media reports sometimes show prices much higher than what I see on REA?

Most media reports use a 12-month rolling median, which includes the peak of seasonal activity (spring and autumn). REA and Domain show current listings, not settled sales. Listing prices are typically set above likely sale prices, especially in negotiated private sale markets. The median settled sale price is always the more accurate measure of true market value.

How many sales do I need in a suburb for the median to be reliable?

CoreLogic and REIV typically require a minimum of 10 to 20 sales in a period before publishing a median. Below 10 sales, the median is statistically unreliable and should not be used for investment decisions. In low-volume suburbs, use rolling annual data rather than quarterly data to ensure a sufficient sample size.

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