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Tightly Held Properties: +2.3% Extra Growth Per Year

Suburbs where more than 95% of homes are owner-occupied grow 2.3% per year faster than suburbs below 82%. That is extra growth, on top of whatever the market does.

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

+2.31%Spread Per Year
23/24Sample Dates Consistent
-1.25%Bottom Tier Underperformance
33,373Sales in Top Tier
Luke Metcalfe
Luke Metcalfe
Founder & Chief Data Scientist
15+ years in property data analytics

What Is the Tightly Held Threshold?

When homeowners live in their properties long-term, the suburb becomes tightly held. Fewer properties come to market. Each sale draws more competition. Prices reflect genuine demand rather than investor churn.

The opposite also holds. Suburbs with a high rental proportion see more turnover, more listings, and weaker price signals. Investor-heavy suburbs face selling pressure when rates rise or yields compress.

This threshold measures the share of homes that are owner-occupied. Above 95% signals a tightly held suburb. Below 82% signals a suburb with significant rental stock and higher turnover.

The pattern is intuitive and the data backs it up. Across 124,051 sales from 2021 to 2023, tightly held suburbs outperformed by 2.3 percentage points per year.

Core finding: Suburbs scoring above 95% owner-occupancy outperform the broader market by +1.06% over 2 years, based on 33,373 property sales. This pattern held at 23 of 24 sample dates from 2021 to 2023.
Note on data period: This threshold covers 2021 to 2023, a shorter window than some other thresholds. The pattern is consistent at 23 of 24 sample dates. We will continue monitoring as more data accumulates.

Three Performance Zones

The model splits suburbs into three tiers based on their owner-occupancy rate. Each tier shows a distinct growth pattern.

Top Tier (Above 95%)
+1.06%
Extra growth per year vs the market 33,373 sales tested
Middle Tier (82% to 95%)
+0.07%
Near the market average 59,245 sales tested
Bottom Tier (Below 82%)
-1.25%
Growth drag per year vs the market 31,433 sales tested
2.31% spread between top and bottom tiers
Owner-occupier suburbs grow 1.06% faster than the market. High-rental suburbs trail by 1.25%. The gap is 2.31 percentage points per year.

Performance Over Time

The chart below tracks the 2-year annualised growth rate for the above-threshold suburbs and below-threshold suburbs. The above-threshold suburbs (blue) sit above the below-threshold suburbs (red) in the vast majority of months.

The blue line (above-threshold suburbs) sits above the red line (below-threshold suburbs) at 23 of 24 sample dates. The gap is widest in late 2021 and early 2022, then narrows through 2023.

Consistency Across 24 Sample Dates

We tested the signal at 24 different points in time between July 2021 and September 2023. The top tier outperformed at 23 of those 24 dates.

DateExtra Growth (2yr)
2021-07+1.53%
2021-08+1.58%
2021-09+1.57%
2021-10+1.63%
2021-11+1.67%
2021-12+1.71%
2022-01+1.66%
2022-02+1.59%
2022-03+1.49%
2022-04+1.40%
2022-05+1.26%
2022-06+1.15%
2022-07+1.03%
2022-08+0.92%
2022-09+0.80%
2022-10+0.61%
2022-11+0.50%
2022-12+0.41%
2023-01+0.36%
2023-02+0.33%
2023-03+0.38%
2023-04+0.41%
2023-05+0.44%
2023-09-1.07%

Geographic Breakdown

The signal works across most Australian regions. Positive spread means the signal works as expected.

The signal works in 9 of 11 regions. The strongest separation appears in Rest of Victoria (+3.33% spread) and Greater Perth (+2.39% spread). Greater Sydney and the ACT are the only regions where the signal inverts.

Full Regional Table

All growth rates are annualised over 2 years, measured 2021 to 2023.

RegionSpreadSales Tested
Rest of Vic.+3.33%8,204
Greater Perth+2.39%2,823
Rest of WA+1.73%3,829
Greater Adelaide+1.58%4,135
Greater Brisbane+1.38%6,395
Greater Melbourne+1.31%6,466
Rest of Qld+0.84%13,013
Rest of SA+0.43%3,180
Rest of NSW+0.35%9,275
ACT-0.13%553
Greater Sydney-1.06%6,471

Is This Pattern Real?

We tested this rigorously. The pattern of +2.31% spread was confirmed by testing across 124,051 sales over a 2-year rolling window.

This is a real signal, not a crystal ball. Many factors drive property prices, from interest rates to local infrastructure to supply constraints. Across this data, the pattern holds with strong consistency.

The signal worked at 23 of 24 different time periods. It held in 9 of 11 geographic regions. The t-statistic of 46.27 is far beyond the threshold for statistical significance. These results point to a genuine, repeatable pattern.

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 Tightly Held Suburbs Near You

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

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