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Market Cohesion Analysis · 10,874 property resales

Forget the national market.
It's streets that matter.

We analysed every property resale held 3 years or less across Australia. The “national market” is barely better than a coin flip. Streets remove 89% of the uncertainty.

24%
National
uncertainty removed
36%
State
uncertainty removed
61%
Suburb
uncertainty removed
89%
Street
uncertainty removed
📄 White Paper📰 Blog Post▶ Watch the Video

The question

If a market is real, properties within it should move together

During good times they grow together. During bad times they fall together. We grouped 10,874 property resales by region, buy year and sell year — so the same market forces acted on every property in each cohort — and measured how often they actually moved the same way.

Results

Zoom in: watch markets become real

Click any row to explore the detail. The further you zoom in, the more properties move together.

National
All of Australia
coin flip
24%
State
NSW, VIC, QLD…
36%
SA4 Region
Major urban regions
38%
Suburb
Individual suburbs
61%
Street
Individual streets
89%

Full comparison

Every level, side by side

The “Uncertainty Reduced” column is the fairest measure — it adjusts for the natural effect of smaller cohorts producing higher random agreement.

Market LevelSame-Half %Random BaselineUncertainty ReducedDeviation (pp/yr)Avg CohortVerdict
National64.3%≈53%
24%
10.34191Coin flip
State71.7%≈56%
36%
9.4943Weak
SA4 (Region)77.7%≈64%
38%
7.987.5Moderate
Suburb90.3%≈75%
61%
3.482.5Strong
Street97.3%≈75%
89%
0.872.2Very strong

Key Takeaways

What the data tells investors

1

Suburb selection does 61%, not 80%

The classic saying overstates the case. Suburb selection is a real, measurable edge — but it leaves nearly 40% of the uncertainty on the table.

2

Street selection does 89%

Two properties bought and sold on the same street in the same years have a 97.3% chance of moving in the same direction. That is where the real edge lies.

3

National timing is mostly noise

Only 24% of uncertainty is removed at the national level. "The market is going up" tells you almost nothing about your individual property.

4

The specific property still matters

Even at the suburb level, properties deviate by 3.5 percentage points per year. Over a few years that compounds into a meaningful difference.

Street-level data

We don't just prove streets matter. We give you the data.

Every suburb on Microburbs breaks down to individual streets — so you can compare within a suburb, not just between them.

Belmont North, NSW

The suburb-level median is $1.1M with 130% growth. But look at the street-level variation — this is exactly what the research predicts.

  • ✓Median price per street
  • ✓Median weekly rent
  • ✓10-year capital growth
  • ✓Renter percentage
  • ✓Rental & sale turnover
  • ✓Street type classification
Try it on your suburb →

Streets in Belmont North

8 of 24 streets shown
StreetTypeHousesMedian PriceRent /wkGrowthRenters
Whole of Suburb—1,373$1,100,000$750130%11%
Wommara AveQuiet Res.146$1,091,000$872129%19%
Pacific HwyMajor Road111$1,061,000$716114%29%
Harrison StQuiet Res.78$1,106,000$652113%19%
John Darling AveQuiet Res.69$1,128,000$79063%5%
Old Belmont RdQuiet Res.69$1,313,000$848105%30%
Buttaba AveQuiet Res.64$1,184,000$70191%21%
Mirambeena StQuiet Res.58$1,014,000$1,21379%30%

Dive deeper

Read, watch, or explore the full research

White Paper

Full methodology, results across all geographic levels, and GCCSA breakdowns. The complete research.

Read the white paper →

Blog Post

The findings in plain English. Perfect for sharing with fellow investors or your buyer's agent.

Read the post →

Interactive Visualisation

Click through each geographic level and watch cohesion change in real time. See the data move.

Launch interactive →

Stop listening to the national market.
Start analysing streets.

10,874 property resales tell the same story. The “national market” is noise. Streets are the real market. Microburbs provides street-level data — median prices, rents, renters, and turnover rates.

Explore Microburbs →
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