Premium Renovation: +3.0% Extra Growth Per Year
Suburbs above the Premium Renovation threshold grow 3.0% per year faster than the market. That is extra growth, on top of whatever the market does. We tested 85,908 sales across a decade.
This is one of 5 synthetic threshold indices in the Microburbs research programme.

What Is the Premium Renovation Index?
Some suburbs are full of homes that owners have poured money into. Not just any renovation. Certain types of premium improvement that signal long-term commitment and financial confidence. These are neighbourhoods where residents plan to stay.
Other suburbs have homes that remain mostly untouched. Fewer premium upgrades. Fewer signs of private investment. The Premium Renovation Index captures this distinction by scoring each suburb based on development application records and other government data sources.
A high score means homeowners are actively investing in their properties. A low score means minimal private improvement. The logic is straightforward: where owners invest, buyers follow. A neighbourhood full of quality renovations signals that residents believe in the area's future.
Three Performance Zones
The model splits suburbs into three tiers based on their Premium Renovation score. Each tier shows a distinct growth pattern over 4 years.
5.4% spread between top and bottom tiers
Top tier suburbs grow 3.0% faster than the market. Bottom tier suburbs trail by 2.4%. The total gap is 5.4 percentage points per year.
Performance Over Time
The chart below tracks the 4-year annualised growth rate for the top-tier and bottom-tier suburbs. The two lines cross over around mid-2019, marking a shift in market behaviour.
Geographic Breakdown
The signal works across most Australian regions. The chart below shows the spread (above-threshold suburbs minus below-threshold suburbs) for each GCCSA region. Positive spread means the signal works as expected.
Full Regional Table
All growth rates are annualised over 4 years.
| City | Spread | Sales Tested |
|---|---|---|
| Sydney | +1.02% | 4,058 |
| Regional SA | +0.48% | 2,279 |
| Adelaide | +0.46% | 2,230 |
| Brisbane | +0.40% | 1,844 |
| Melbourne | +0.10% | 2,870 |
| Regional NSW | +0.03% | 8,563 |
| Regional Vic. | -2.56% | 483 |
| Perth | -4.78% | 1,086 |
Real-World Example: Caulfield South vs Clifton Hill
Both are established Melbourne suburbs with period homes and strong local character. Caulfield South has a high renovation rate and ongoing infrastructure investment. Clifton Hill has lower renovation activity despite its inner-city location.
Caulfield South, VIC 3162
Melbourne
Renovation score: 96.1 / 100
Growth vs median: -2.48% p.a.
Example property hold
26 Almond Street: bought February 2005 for $667,000, sold October 2022 for $1,785,000. That is 5.7% compound annual growth over 17.7 years.
Clifton Hill, VIC 3068
Melbourne
Renovation score: 3.4 / 100
Growth vs median: -2.69% p.a.
Example property hold
15 Caroline Street: bought May 2017 for $1,460,000, sold December 2022 for $1,490,000. That is 0.4% compound annual growth over 5.6 years. Five and a half years of ownership for just $30,000 in capital gain.
Is This Pattern Real?
We tested this across 85,908 sales over a decade. The +3.0% outperformance for the top tier is confirmed across thousands of transactions. It worked in 6 of 8 geographic regions. The top tier beat the bottom tier by a combined 5.4 percentage points over 4 years.
However, there is an important limitation. The signal reversed direction around mid-2019. Before that date, the bottom tier outperformed. After it, the top tier took the lead. This is a real limitation. Only the second half of the dataset (from mid-2019 to late 2021) shows the top tier ahead. The overall average is positive, but it is not a pattern that held at every point in time.
Many factors drive property prices: interest rates, local infrastructure, supply constraints. The renovation premium appears to be a more recent phenomenon. Post-2019 buyers increasingly valued well-maintained, renovated homes. Whether this preference continues is an open question.
Want the Full Technical Detail?
The Technical Whitepaper covers the testing methodology and the full date-by-date and region-by-region breakdown.
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Part of the Threshold Signals research programme