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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.

+3.0%
Extra Growth Per Year
5.4%
Top-to-Bottom Spread
-2.4%
Bottom Tier Underperformance
21,457
Sales in Top Tier
Luke Metcalfe
Luke Metcalfe
Founder & Chief Data Scientist
15+ years in property data analytics

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.

Core finding: Suburbs scoring in the top tier (score over 76) outperform the broader market by +3.0% over 4 years, based on 21,457 property sales. The bottom tier (score under 20) underperforms by -2.4% over the same period, based on 26,771 sales. The combined spread between top and bottom tiers is 5.4 percentage points.

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.

Top Tier (Score over 76)
+3.0%
Extra growth per year over 4 years. 21,457 sales tested.
Middle Tier
0.0%
No measurable difference. 37,680 sales tested. In line with the market.
Bottom Tier (Score under 20)
-2.4%
Underperformance over 4 years. 26,771 sales tested.

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.

A crossover story. Before mid-2019, the bottom-tier suburbs actually outperformed the top tier. From mid-2019 onwards, the pattern reversed and high-renovation suburbs began pulling ahead. The overall average across the full period is positive for the top tier. But the strongest separation only emerged from 2019. This suggests a structural shift: post-2019 buyers increasingly valued well-maintained, renovated homes. By 2021-Q3, the gap between top and bottom-tier suburbs reached 2.4 percentage points over 4 years.

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.

The signal works in 6 of 8 regions tested. Sydney leads with a +1.02% spread. Rest of SA (+0.48%), Adelaide (+0.46%), and Brisbane (+0.40%) all show positive separation. Rest of Vic. and Perth are the two regions where the signal inverts, possibly reflecting different housing stock patterns in those markets.

Full Regional Table

All growth rates are annualised over 4 years.

CitySpreadSales 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.

HIGH RENOVATION

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.

LOW RENOVATION

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.

The gap: Caulfield South scored 96.1 on the renovation index while Clifton Hill scored 3.4. The spread of 0.64% per year may sound small, but it is consistent across time and geography. On a $1 million property held for 10 years, that gap compounds to over $65,000 in additional equity.

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.

How we tested this: Growth rates are measured over rolling 4-year windows. All comparisons measure outperformance relative to the national median, so the results are not just reflecting broad market trends. The model combines several property improvement measures drawn from development application records and other government data sources into a single score. For the full methodology, see the Technical Whitepaper.

Want the Full Technical Detail?

The Technical Whitepaper covers the testing methodology and the full date-by-date and region-by-region breakdown.

Read the WhitepaperBook a Walkthrough

Find High-Renovation Suburbs Near You

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

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Part of the Threshold Signals research programme

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