Every residential market in Australia, in one Excel file — structured to be interrogated in Claude.
2,450 SA2 suburb markets and 329 SA3 regions. Houses and units, held separately.
Sixteen monthly windows of sale and lease medians by bedroom count, days on market, vendor discounting, sale volumes, turnover and months of inventory - plus the Suburbtrends Vacancy Index at SA2 and SA3, and Census and SEIFA context on every row.
Drop it into Claude and ask it directly:
- Which markets have inventory under three months, rents rising and vacancy tightening?
- Rank the SA2s where the 3-bedroom house median rose while days on market fell.
- Build me a shortlist of unit markets under $600k with improving turnover.
- Map it.
One row per market, consistent headers, aligned time windows - no cleaning, no API, no code. Built on ABS statistical geography (ASGS 2021), G-NAF matched, so it joins cleanly to anything else you hold.
Instant download · Excel (.xlsx) · Licensed for internal research
Every residential market in Australia, in one Excel file — structured to be interrogated in Claude.
2,450 SA2 suburb markets and 329 SA3 regions. Houses and units, held separately.
Sixteen monthly windows of sale and lease medians by bedroom count, days on market, vendor discounting, sale volumes, turnover and months of inventory - plus the Suburbtrends Vacancy Index at SA2 and SA3, and Census and SEIFA context on every row.
Drop it into Claude and ask it directly:
- Which markets have inventory under three months, rents rising and vacancy tightening?
- Rank the SA2s where the 3-bedroom house median rose while days on market fell.
- Build me a shortlist of unit markets under $600k with improving turnover.
- Map it.
One row per market, consistent headers, aligned time windows - no cleaning, no API, no code. Built on ABS statistical geography (ASGS 2021), G-NAF matched, so it joins cleanly to anything else you hold.
Instant download · Excel (.xlsx) · Licensed for internal research
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