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Market Distress: +2.7% Extra Growth Per Year

Suburbs where fewer than 15% of sales are at a loss grow 2.7% per year faster than those with 30% or more. That is extra growth, on top of whatever the market does.

This is one of several threshold indices in the Microburbs research programme.

+2.68%Spread Per Year
168/187Sample Dates Consistent
-2.09%Bottom Tier Underperformance
357,668Sales in Top Tier
Luke Metcalfe
Luke Metcalfe
Founder & Chief Data Scientist
15+ years in property data analytics

What Is Market Distress?

When more than 30% of properties in a suburb sell at a loss, it signals deep problems. Loss-making comparable sales drag down valuations. Banks use those comps for lending. Buyers anchor to them. The oversupply takes years to absorb.

Suburbs where fewer than 15% of sales are at a loss show the opposite pattern. Owners are sitting on gains. Sales are selective. Buyers face competition, not distress.

This is a single, measurable variable: the percentage of house sales in a suburb that settle below the previous purchase price. No composite model. One number, one threshold, one clear result.

Core finding: Suburbs with low distress (below 15% of sales at a loss) outperform the broader market by +0.58% per year, based on 357,668 property sales. High-distress suburbs (above 30% at a loss) trail the market by -2.09%. The total spread is 2.68 percentage points per year.

Three Performance Tiers

The threshold splits suburbs into three tiers based on the percentage of sales at a loss. Each tier shows a distinct growth pattern.

Top Tier (Below 15% at Loss)
+0.58%
Extra growth per year vs the market 357,668 sales tested
Middle Tier (15% to 30%)
-0.93%
Underperformance vs the market 62,079 sales tested
Bottom Tier (Above 30% at Loss)
-2.09%
Growth drag per year vs the market 72,097 sales tested
2.68% spread between top and bottom tiers
Suburbs with low distress grow 0.58% faster than the market. Suburbs with high distress trail by 2.09%. The total gap is 2.68 percentage points per year.

Performance Over Time

The chart below tracks the 2-year annualised growth rate for low-distress suburbs (blue) and high-distress suburbs (red). The low-distress line sits above the high-distress line in 92% of quarters.

The blue line (low distress) sits above the red line (high distress) in 58 of 63 quarters. The gap is widest during 2015 to 2017, reaching over 6 percentage points. It narrows in late 2021 to early 2022 when very few suburbs had high distress rates.

Consistency Across 27 Sample Dates

We tested the signal at 27 different points in time between 2008 and 2023. The top tier outperformed at 25 of those 27 dates.

DateExtra Growth (2yr)
2008-03+0.31%
2008-10-0.44%
2009-05+0.43%
2009-12+0.93%
2010-07+1.56%
2011-02+2.08%
2011-09+2.48%
2012-04+3.20%
2012-11+2.26%
2013-06+2.38%
2014-01+3.71%
2014-08+2.74%
2015-03+3.09%
2015-10+4.37%
2016-05+6.10%
2016-12+5.28%
2017-07+2.83%
2018-02+2.14%
2018-09+1.54%
2019-04+1.46%
2019-11+3.29%
2020-06+5.30%
2021-01+3.79%
2021-08+1.68%
2022-03-2.39%
2022-10+0.96%
2023-05+7.25%

Geographic Breakdown

The signal works across most Australian regions. Positive spread means low-distress suburbs outperform high-distress suburbs.

The signal works in 10 of 11 regions tested. Rest of South Australia leads with a 7.95% spread. Greater Sydney is the only region where the signal inverts, with a spread of -0.06%.

Full Regional Table

RegionSpreadSales Tested
Rest of SA+7.95%6,367
Rest of WA+4.39%14,830
Rest of Vic.+4.23%48,123
Rest of Qld+3.94%60,564
Greater Perth+3.79%19,424
Greater Adelaide+3.28%23,604
Rest of NSW+2.08%121,464
Greater Brisbane+0.74%34,607
Rest of Tas.+0.64%240
Greater Melbourne+0.54%32,205
Greater Sydney-0.06%68,153

Is This Pattern Real?

We tested this rigorously. The pattern of +2.68% extra growth was confirmed by testing across 491,844 total sales over 15 years.

The signal worked at 25 of 27 different time periods. It held in 10 of 11 geographic regions. The low-distress suburbs beat the high-distress suburbs in 92% of quarters.

How we tested this: Growth rates are measured over rolling 2-year windows. All comparisons measure outperformance relative to the national median, so the results are not just reflecting broad market trends. For the full statistical methodology, see the Technical Whitepaper.

Want the Full Statistical Detail?

The Technical Whitepaper covers p-values, t-test methodology, and the full date-by-date and region-by-region breakdown.

Read the WhitepaperBook a Walkthrough

Find Low-Distress Suburbs Near You

Get distress scores for every suburb in Australia. Combine with other Microburbs signals to build a shortlist that outperforms.

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