Thailand Listing Data Report: Coverage, Duplication, and Reach
Weekly pulses track movement. This monthly report is about the dataset underneath them: how much of the Thai market Vurel sees, why raw portal counts overstate true inventory, and why reachable supply is different from visible supply.
If you work the market, the shape of the data is not trivia. It determines what you can search, who you can call, and how much of the picture you are missing when you rely on one portal.
How much of the market is visible
| Dimension | Public coverage |
|---|---|
| Listings tracked | 1.4M |
| Portals aggregated | 9 |
| Zones modeled | 47 |
| Refresh cadence | Nightly |
| Geographic spread | Bangkok, Pattaya, Chiang Mai, Phuket, Hua Hin, nationwide |
Coverage by source
No single portal is the market. A few sources dominate raw listing volume, but smaller sources still matter because they fill gaps by location, asset type, price band, and contact path.
The public report keeps the source read directional. The working dashboard keeps the detailed source export.
Source tables stay gated
Vurel keeps exact portal counts, phone and LINE availability, source-level freshness, and posted contact details inside the dashboard. Those tables are operating tools for agencies, not public marketing assets.
Why portal counts overlap
The same condo unit is routinely listed on several portals at once, frequently by different agents competing for the same lead. So the tracked total counts posts, not unique units: Vurel counts each listing as its source portal posted it and does not merge the same unit across portals. What it does instead is put every post side by side, so the overlap is visible instead of hidden.
For an agent, the duplication itself is signal. A unit posted across several portals by several agents is a contested listing. A unit on one portal with one agent is not. Seeing the cross-portal footprint of a single property is something no individual portal can show you cleanly.
Contact reach is the real differentiator
Supply is easy to count. Reach is not, and reach is what turns a listing into a deal.
Contact availability varies by source. Some portals post richer contact paths, while others carry useful listing detail but fewer direct ways to reach the person behind the post. Searching all eleven sources in one place means you work the portals that publish contacts instead of being stuck on the ones that hide them.
That posted reach, on more than half of listings, is the practical reason to aggregate rather than browse one site at a time.
How to read concentration
Two reflexes follow from the data:
- Never trust one portal's depth. Single-portal search systematically misses inventory and contacts.
- Separate supply from reach. A zone can look deep and still be slow to work if its listings sit on low-contact sources.
What this report will add as data connects
This edition reports what the public dataset can defensibly support today: aggregate coverage, distribution, duplication, and reach. Future public editions will show rounded movement. Detailed zone movement, rent/sale split by zone, price-per-sqm bands, source freshness, and listing-level posted contact details remain dashboard features.
Methodology
Vurel aggregates public listing data across Thai property portals, normalizes Bangkok into 47 zones, and refreshes nightly. Each listing is counted as posted by its source portal; the product does not match or merge the same unit across portals. Counts are rounded for public reporting and reflect the live database at publication. Contact-reach language describes operational availability, not legal, valuation, or investment advice.
Built on data agents actually use
This report shows public aggregate signals from Vurel. The working layer is in the dashboard: listing-level search, posted contact details, source comparison, and zone-level exports.
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