The full national dataset — every SA4, SA3, SA2, and SA1 in Australia. 489 data columns covering vacancy, rents, yield, affordability, supply, growth, Census, and SEIFA. Bundled with AI publishing tools for Claude that turn the data into interactive maps, charts, reports, and social tiles. Updated monthly. You publish. We deliver the data.
I am a...
Independent
Solo researchers, buyers agents, small consultancies
$695/month
Business
Mid-size firms, broker groups, property managers, developers
$1,495/month
Enterprise
Banks, LMI providers, insurers, BTR operators, government
$2,995/month
Your price
—/month
Select your organisation type above
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✓ Full national coverage — every SA4, SA3, SA2, SA1
✓ 489 data columns per geography
✓ Vacancy intelligence + suburb-level aggregate score
✓ GeoJSON geometry embedded — no separate shapefiles
✓ AI publishing tools — maps, charts, reports, social tiles
✓ Forward-looking rent forecasts with published R²
✓ Monthly refresh — new data, same tools
✓ Share artefacts anywhere — socials, email, client delivery. It will change how you do content forever
Need it for internal systems? All tiers include CSV delivery. Enterprise clients can also receive data via Snowflake. Same dataset, integrated into your risk models, feasibility tools, or BI platform.
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Common Questions
What's the difference between Research Data and Media-Ready Research?
Research Data gives you the full national dataset and AI tools. You produce artefacts in Claude and share them on socials, in emails, and with clients. Media-Ready Research is a branded national guide that we produce for you and publish on suburbtrends.com with your brand, your colours, and national coverage. If you want to create and share your own artefacts, Research Data is the product. If you want a done-for-you national guide published on our platform, Media-Ready Research is the product.
Can I share Research Data artefacts on LinkedIn and social media?
Yes — absolutely. Share your Claude artefacts on LinkedIn, Instagram, email, client presentations, anywhere. That's the whole point. What you can't do is embed the raw data in your own website, build applications with it, or integrate it into commercial products. The data stays inside Claude artefacts. The artefacts go everywhere.
Do I need a Claude account for Research Data?
Yes. You'll need a Claude Pro account (currently US$20/month from Anthropic). The AI publishing tools are built specifically for Claude. A training video walks you through setup, uploading the data, and producing your first artefact.
Why does the Research Data price differ by organisation type?
Every tier gets the same product — full national dataset, AI skills, Claude publishing tools, monthly refresh. Pricing reflects the scale and commercial context of your organisation, not the features. An independent researcher and a major bank receive identical data.
What kind of output can I produce with Research Data?
Market spotlights, suburb comparison cards, rental yield heatmaps, vacancy trend analyses, investor briefings, appraisal supplements, LinkedIn carousels, client reports — anything you can direct inside Claude. The tools handle the formatting. You provide the direction. Share the artefacts anywhere. Just don't extract the raw data to build websites, apps, or commercial products.
How many data layers can a Media-Ready guide have?
One to five. Each guide has one hero data point that drives the national map and interactive rankings. Additional layers add analytical depth. Pricing starts at $1,495/month for one layer and goes to $4,995/month for all five.
Is there a lock-in contract?
No. All products are monthly. Enterprise clients can opt for a 3-month pilot with a break clause. Both products can be paused or cancelled at any time.
What makes this data different from CoreLogic or SQM?
The Suburbtrends Vacancy Index operates at SA2 level — approximately 2,300 areas nationally with monthly cadence. CoreLogic doesn't sell suburb-level vacancy at any price. SQM operates at postcode level. We also include forward-looking rent forecasts with published R² values and 489 data columns covering every dimension of a local property market.