Use Suburb Data to identify high-performing suburbs with confidence.
Every research session in Suburb Data follows the same three steps, so you always move from a wide field of suburbs to a confident shortlist.
Step 1 — Search. Start with Suburb Search to filter more than 15,000 Australian suburbs by budget, rental yield, property type and strategy. Rather than scrolling listings, you begin with the locations that match your criteria and show early demand momentum.
Step 2 — Heat Maps. Next, open the interactive heat maps to see where demand is concentrated. Clusters of neighbouring hot suburbs are a healthier signal than a single standout market, and the maps make those patterns obvious at a glance.
Step 3 — Analyse & Compare. Finally, dig into Market Metrics, Historical Charts and the Context Ruler to compare auction clearance rates, vacancy rates, stock on market and dozens of other metrics against national percentiles. When the numbers line up, you have a defensible shortlist.
DSR3 — the Demand to Supply Ratio — scores every suburb from 0 to 100 by measuring buyer demand against available supply, with each indicator weighted by how strongly it predicts price movement. A higher score means demand is outpacing supply.
Every DSR3 score also carries a Statistical Reliability (SR) rating, so you know how much data sits behind the number before you commit. The algorithm was created in 2010 and has been refined across more than 15 years of market cycles, outperforming its predecessors DSR Lite and DSR+ in back-testing.
You can read the full DSR3 methodology and browse every metric in our data library, or see the research tools in detail.
One of the most mature property AIs on the market, refined over 15+ years of real data
Trusted by thousands of property professionals across multiple market cycles
Unbiased data with no hidden agendas or flashy sales pitches