PerthProperty Intelligence

Methodology

How we built an independent picture of Perth's property market.

1. Suburb Selection

We selected 40 suburbs across Perth's south and north corridors, covering premium waterfront suburbs (Dalkeith, Applecross, Cottesloe) through to growth-area suburbs (City Beach, Mount Lawley, North Perth). Suburbs are tiered:

  • Premium (P0) — Established prestige suburbs, typically waterfront or river-adjacent
  • Core (P10) — Solid residential suburbs with good infrastructure
  • Growth (P1) — Inner-city or up-and-coming suburbs with strong momentum
2. Data Collection

We collected three categories of data:

  • For-sale listings — Current listings from realestate.com.au across all 40 suburbs, including listed prices, land sizes, and property features
  • Sold records — Historical sold data (April 2023 – October 2025) from public records, giving us 9,000+ transactions to compute suburb-level medians and trends
  • Agent price guides — We emailed every listing agent asking for a price indication. This reveals the gap between advertised listings (often “Contact Agent”) and actual expected sale prices
3. Transparency Scoring

Each agent receives a transparency score based on:

  • Response Rate — Did they reply to our enquiry at all?
  • Price Transparency — Of those who responded, how many provided a price guide or range?
  • Response Time — How quickly did they respond (in hours)?

A transparency rate of 100% means the agent provided a price guide for every listing they responded to. We believe buyers deserve price guidance upfront rather than having to “register interest” before learning the expected price.

4. Value Score

Each listing with a known price and land size receives a value score, calculated as:

value_score = (listing_$/m² − suburb_median_$/m²) ÷ suburb_median_$/m² × 100

A negative score means the listing is priced below the suburb's historical median on a per-square-metre basis (potentially undervalued). A positive score means above median.

5. Months of Supply

Months of Supply (MoS) estimates how long it would take to clear current inventory at the recent sales rate:

MoS = current_listings ÷ (sold_last_12_months ÷ 12)

Lower values indicate a seller's market (high demand, tight supply). Values below 3 months are considered very tight. Above 6 months favours buyers.