Every study is backed by real Australian property sales data. Growth signals, market intelligence, and methodology research, all in one place.
We test which measurable suburb-level factors predict property price growth. Every finding is tested against millions of real sales records going back to the late 1990s. No opinions, no rules of thumb.
Our research covers three areas: growth signal discovery, live market intelligence tools, and methodology validation studies that keep our models honest.
Tested growth signals that identify suburbs likely to outperform. Each signal is validated across multiple time periods, regions, and property types.
Nine growth signals tested across 25 years of Australian sales data. Rental growth, home office suitability, tranquility, premium renovation, mean reversion, market distress, tightly held suburbs, innovation economy, and community depth.
Complete index of all 20 growth signals with links to every study. Composite indices, individual factor research, and report metric connections in one place.
Live tools and forecasts that apply our research to current market conditions. Updated regularly with fresh listing and sales data.
Current listings priced below their AVM valuation. Distressed sales, motivated sellers, and pricing errors surfaced daily from live listing data across Australia.
Thirteen factors combined into a single outperformance score for every suburb in Australia. Backtested to 1990 with a 65.4% hit rate at picking above-median growth suburbs.
Studies that test our own tools and assumptions. If a method does not work, we publish that too.
Seven GPT versions tested across 17,096 suburb predictions. Six of seven underperformed a simple baseline. The research quantifies exactly where large language models fail at property forecasting.
Every suburb report on Microburbs includes the growth signals from this research. Search any suburb to see how it scores.