Every housing market in Australia — built to be interrogated.
One Excel file. 2,450 SA2 markets and 329 SA3 regions, houses and units, 16 monthly windows of prices, rents, volumes, days on market, discounting and inventory — plus the Suburbtrends Vacancy Index. Cleaned, structured and optimised for analysis in Claude.
Instant download · Excel (.xlsx) · Refreshed every month Internal research licence. No platform, no login, no lock-in.
Built for people whose opinions carry a price tag
When a client acts on your read of a market, being roughly right is not enough. Market Trend Data exists so the research behind your advice is national in coverage, current to the month, and deep enough to defend.
Buyers' agents
Qualify or kill a target market in minutes. Prices by bedroom count, days on market, discounting, inventory and vacancy — every SA2 in the country, not just the ones your subscription covers.
Brokers & advisers
Walk into every client conversation with the local numbers already in hand. Turn "the market feels strong" into a one-page brief with medians, rents and turnover for the exact areas your client is weighing.
Analysts & proptech
A clean national panel without an enterprise data contract. Consistent headers, one row per market, 16 aligned monthly windows — ready for your models and dashboards the day you download it.
Media & content teams
Every story needs a number. Rank, compare and contextualise any market in Australia for columns, videos and reports — with a source your audience already knows from national coverage.
Stop reading spreadsheets. Start questioning them.
Most property data is formatted to be looked at. This file is structured to be asked. One row per market, consistent headers, time windows aligned across every sheet — so when you drop it into Claude, the answers come back in minutes, not afternoons. No API keys, no code, no cleaning.
"Which SA3s have inventory under three months, rents rising, and vacancy tightening over the past quarter?"
"Rank Queensland SA2s where the 3-bedroom house median rose while days on market fell over the past six months."
"Build a shortlist of unit markets under $600k with strong rents, renter share below 40% and improving turnover."
"Compare this SA3 against its own 15-month history — prices, discounting, volumes and vacancy — and write the client brief."
Prefer Excel, Power BI or Python? It works there too — it is a tidy .xlsx, not a proprietary format.
Seven sheets. One coherent picture of the market.
| Sheet | What it tells you | Coverage |
|---|---|---|
| SA2 House | Suburb-level house markets — prices, rents, volumes, speed and supply | 2,450 markets × 16 months |
| SA2 Unit | The same lens on unit and apartment markets | 2,450 markets × 16 months |
| SA3 House | Regional house markets with corrected listings and recalculated inventory | 329 regions × 16 months |
| SA3 Unit | Regional unit markets, same corrected treatment | 329 regions × 16 months |
| SA2 Vacancy Rate | Suburbtrends Vacancy Index — the rental signal that leads rent movements | 2,308 markets × 13 months |
| SA3 Vacancy Rate | The same index at regional level, colour-scaled for instant reading | 332 regions × 13 months |
| Index | A linked cover sheet with method notes — every assumption disclosed | — |
Prices
Sale medians — overall and by bedroom count — percentiles, minimums and maximums, list prices and vendor discounting.
Rents & tenants
Lease medians by bedroom count, rental percentiles, lease discounting, rental churn and the Vacancy Index.
Market speed & supply
Days on market, sale volumes, turnover, new listing flow and months of inventory — the absorption picture.
People & place
Household incomes, tenure mix, property-type mix, mobility, and all four SEIFA indices with deciles.
Independent numbers, economist's discipline
Corrected, not just collected
Raw feeds get things wrong. Regional listings counts are manually verified each month and inventory recalculated — because a supply figure you can't trust is worse than none.
Geography that lines up
Everything sits on the ABS statistical geography (ASGS 2021), G-NAF matched. Your analysis joins cleanly to Census, SEIFA and anything else built on the national standard.
Method on the label
Every sheet carries its own method notes — how each rate is built, when a cell is suppressed, what a measure can and cannot say. Research you can defend, because we show our working.
Movement is the signal. Don't watch it second-hand.
One purchase. One file. Every market in Australia on your desk in the next two minutes — licensed for internal research within your organisation.
Buy now — instant download →Internal research licence: use it in your analysis, advice and internal reporting. Republication or resale of the dataset itself is not permitted.
National rental vacancy — rolling 3-month
Jul 2025 – Jul 2026