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

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.

Why portal counts overlap

Add the per-portal figures and the total runs well past the unique working total. That is expected, and it is the central problem Vurel solves.

The same condo unit is routinely listed on several portals at once, frequently by different agents competing for the same lead. Counting each portal independently triple-counts that unit. Vurel matches listings across sources and collapses them into a single working record where possible.

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 expose richer contact paths, while others carry useful listing detail but fewer direct ways to reach the person behind the post. Because the same unit often appears on several sources, cross-referencing can recover reach that a single portal hides.

That recovered reach is the practical reason to aggregate rather than browse one site at a time.

How to read concentration

Two reflexes follow from the data:

1. Never trust one portal's depth. Single-portal search systematically misses inventory and contacts.
2. 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 contact recovery remain dashboard features.

Methodology

Vurel aggregates public listing data across Thai property portals, normalizes Bangkok into 47 zones, and refreshes daily. 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.