This is not a survey of Pattaya. It is two catchments — Nong Prue and Na Kluea-Wongamat — done properly.
2,233 units across 51 named buildings. Every one carries an observed foreign-quota marker.
96 of 147 buildings were cut before publication.
Credited in full against the $499 report within 30 days.
// A sample row
Two buildings, the same public facts on each: units, size range, the asking band and the evidence flags. The net yield band is the one line held back, on both, because that is the number the file is for.
// Before you buy it
Brochures and listing pages rank on what is easiest to show. None of them rank on what the unit nets.
The fix is boring. One standard on every building, then publish what survived it and what did not.
It is two catchments, not the city. If you want Jomtien reported separately, this file does not do that and I am not going to pretend otherwise.
It is not live data. It is a September 2026 pull, labelled that way on every page. If you want a file collected the week you order, that is the Custom Report.
The quota marker is observed, not confirmed. It means foreign-quota availability was visible for that building at the time of the pull. Actual slot availability changes and has to be confirmed with the building’s juristic office at the point of purchase.
I do not sell property. No commission, no introductions, no referral fees. That is why a building can appear in this file with numbers that argue against buying it.
Read the free version first if you want to. The catchment-level arithmetic behind the file is published openly at what 51 validated Pattaya buildings net, and everything it costs to get from an asking figure to a registered title at Pattaya condo buying costs. Both are free, and both tell you what the file does before you pay for it.
Pattaya spreads across a lot of administrative ground, and most of it does not carry enough rent evidence to underwrite. Rather than thin the standard until the whole city fitted, I kept the standard and published the two catchments that cleared it.
What was held and dropped: Bang Lamung had two buildings qualify on unit count and both were cut for weak rent evidence. Nong Pla Lai and Sattahip carry almost no condo inventory — three buildings and three between them across the whole pull — so nothing from either reached the unit bar.
Pratumnak and much of Jomtien sit inside Nong Prue. They are almost certainly represented in the 37 buildings above, but the underlying data reports by tambon and I cannot separate them out honestly. So I am not going to publish a Pratumnak count or a Jomtien count. The catchment is the unit of measurement here, and the file says so on every page.
The free research behind each catchment: Jomtien and Pratumnak condos, inside Nong Prue tambon and Na Kluea and Wongamat condos — listing counts, asking-price medians and asking rent per square metre, with the sample size on every figure.
The free versions of that work sit on the two Pattaya catchments, counted down, and on Pattaya condo prices by area, which reports asking-price medians across all 4,903 deduplicated listings rather than the 51 validated buildings in this file.
Rent is never taken from one source. Asking rents are collected per platform, filtered, then combined into a per-building consensus that biases to the lower median wherever two platforms disagree materially.
Short-stay and serviced listings are removed before the data is built, because a tourist nightly rate parses as a monthly rent and wrecks the number. Pattaya carries more of that inventory than anywhere else in the line, which is a large part of why 96 buildings did not make it.
Where a building’s own rent evidence sits well above its area and age cohort, the rent is re-estimated back down to the cohort median. No premium is assumed for a name.
A row is published only when the rent survives all of it. That is the whole reason this file is 51 buildings and not 147.
This is the heaviest exclusion rate of any file in the line, and I would rather put it in the headline than bury it. A thinner standard would have produced a longer file and a worse one.
91 buildings were cut because their rent evidence came from a single source and could not be cross-checked. 5 were cut on a data flag.
Every one of the 51 that remain carries an observed foreign-quota marker. 51 of 51.
// 2,233 units · 51 buildings · two catchments
Every building named, with its unit count, size range, asking band, rent basis and quota marker. Plus the written account of the 96 that were cut.
Instant PDF · 28 pages · 7-day refund, no questions asked.
Credited in full against the $499 Custom Report if you commission within 30 days.
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Brinkman Data Analytics is an independent research service. Not financial, investment, tax, or legal advice. All yield figures are estimates based on historical research data and are not guaranteed. International real estate carries risk of partial or total loss of capital.