Thailand Listing Range Report: June 9, 2026 Snapshot
The useful question is not just "how many listings are online?" It is where the listings sit, what price bands dominate, and whether the range an agent searches is actually where supply exists.
This public snapshot uses Vurel's dashboard cache built on June 9, 2026 at 14:20 Bangkok time. The latest listing in the cache was scraped on June 9, 2026 at 03:06 Bangkok time. The public slice below sits inside Vurel's broader 1.4M-listing coverage. It is a supply snapshot, not a valuation model or investment call.
The public range view
Averages are too blunt for daily agency work. A Bangkok agent searching for rentals at THB 20K to 30K behaves differently from one searching 50K to 100K units, even if both are technically in the same market.
For the public report, the price cache is grouped into broad bands. The full dashboard keeps the more granular search ranges.
What the public chart does not export
The dashboard keeps the working tables agents need for actual prospecting: exact eight-bucket rent and sale ranges, source-by-source coverage, posted contact details, full zone splits, and listing-level search.
Where the listings concentrate
The top row is not subtle. Sukhumvit is the largest normalized inventory cluster in this snapshot, Rama 9-Ratchada is second, and Chonburi is the largest non-Bangkok cluster visible in the top rows.
| Location cluster | Public supply signal |
|---|---|
| Sukhumvit | 145.2K |
| Rama 9-Ratchada | 56.2K |
| Chonburi | 42.7K |
The public table stops there on purpose. The full dashboard shows the full zone list, rent/sale split by zone, unmapped-location rows, and exportable filters for agency workflows.
What the middle of the market looks like
| Metric | Current snapshot |
|---|---|
| Median asking rent | THB 21,000 per month |
| Median asking sale price | THB 4.43M |
| Refresh cadence | Nightly |
| Integrated sources | 9 |
The median is the cleaner day-to-day reference because extreme luxury and malformed prices can pull averages around. Vurel's dashboard cache also quarantines known price outliers before building these aggregates.
What agents should do with this
Use the ranges before you use the average. If a client's brief sits in the densest range, the search problem is filtering and dedupe. If the brief sits at the edge of the range, the search problem is coverage: more portals, better saved searches, and tighter alerts.
Use the location clusters as triage. Deep clusters need filters and fast comparison because supply is dense. Smaller or sale-heavy clusters need a different workflow because the best opportunity may be source coverage, not volume.
Methodology
Vurel aggregates public listing data from Thai property portals into a shared dashboard cache. The June 9 public snapshot is generated from aggregate listing counts, broad price bands, source coverage, zone coverage, and cache freshness. The broader dataset refreshes nightly. Counts are operational listing-supply indicators, 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.
More market intelligence
Bangkok condo price trends 2026: a two-speed market
A June 2026 Vurel read on Bangkok condo price trends: why prime stock holds while the mass market discounts, the macro forces behind the split, and how nightly asking-price history reveals it before any quarterly report.
What is my Bangkok condo worth? The per-sqm median valuation method
A June 2026 Vurel method for estimating a Bangkok condo's value from per-sqm zone medians and comparable asking prices. Anchor, adjust, multiply, sanity-check, with a worked example.