Every building named. Every column filled.
1,235 rent-validated units across 15 areas.
Credited in full against the $499 report within 30 days.
For resale buyers who want building names, not a city average. Not for off-plan, and not for anyone underwriting to Bangkok rents.
// The free sample
These are two of the 61 rows, exactly as delivered. What is blocked out is what you are paying for.
// Row A
Kathu
Those are the columns you sort a shortlist by. The next row is a different building, in a different area — the same twelve fields, with the other half withheld. Neither row hands over what the other one is selling.
// Row B
Wichit
Two buildings, two areas. Between them, all twelve columns the file carries, without either row handing over the answer. In the file, all twelve are filled on all 61 buildings.
June 2026 pull
// What this is
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.
61
Named buildings
1,235
Rent-validated units
15
Areas resolved
61
Of 61 carry a quota marker
Built from 1,235 rent-validated units across 61 Phuket buildings, cross-checked against 1,777 separate rental listings. A building enters the file at three or more validated units, then is cut again on rent confidence. Figures are the June 2026 pull.
// Before you buy
49 of 110 buildings did not make it.
110 buildings met the unit bar. 61 survived the rent check.
39 had rent evidence from a single source. 10 carried a rent flag. They are not in the file, because publishing them would mean publishing a number I cannot stand behind. That is a 45% exclusion rate.
45% is high, and the reason is the rental market, not the city.
Bangkok has more rental listings per building across more platforms, so more buildings clear a cross-source check — its rate was 13%. Phuket is a thinner rental market to observe. A file that names the size of its own cut is worth more than one that hides it.
Two areas came out with nothing published.
Pa Khlok, and a small unassigned group, each had buildings qualify on unit count, and every one of them was cut for weak rent evidence. If those areas are your search, this guide does not cover them.
It is a snapshot, not a feed.
Every figure is the June 2026 pull. Listings turn over. The file tells you how these buildings priced and rented at that date, and makes no claim about any other date.
A yield is only as good as the rent under it, and a rent taken from one listing is an asking price, not evidence.
Rent here is a cross-source consensus. Asking rents are collected per platform, filtered, then combined per building. A building needs agreement from at least two independent sources to publish.
Single-source rows are excluded entirely. That is the difference between this file and a portal export: a portal shows you what one advertiser typed. This shows you what survived being checked against somebody else.
Every building carries its confidence tier in the file, so you can see which rows are multi-verified and which are mildly divergent. Nothing is presented as more certain than it is.
Is this a shortlist, or the whole file?
Both, and the file is the point. There is a ranking, but the ranking is only the conclusion. What you are paying for is the 61 buildings underneath it with every column filled, so you can sort it yourself and disagree with me.
Do you sell property?
No. No commission, no introductions, no referral fees, no listings. I am paid for the analysis and nothing else, which is why a building can appear in this file with numbers that argue against buying it.
Can you confirm the foreign-quota slot for me?
No, and be careful with anyone who says they can from a desk. The file reports an observed marker — that foreign-quota availability was visible for that building at the time of the pull. All 61 carry it. Actual slot availability changes and must be confirmed with the building’s juristic office at the point of purchase.
// The Phuket Condo Buyer’s Guide
Instant PDF. The June 2026 pull, every column filled, and a written account of the 49 buildings that were cut and why.
Get the Guide — $99// Read this before you use any figure in it
Every net figure in this guide is gross of seasonality. Phuket’s median is the highest of any city we publish, and it is computed from validated rents against validated prices — it says nothing about how many months of the year that rent actually arrives. Bangkok’s figure rests on a year-round corporate tenant base; Phuket’s does not. Take the rent you can evidence, decide how many months it is realistically achieved, and model the remainder at what it actually produces.
7-day refund, no questions asked · the unit I bought myself, unredacted →
Your $99 is credited in full against the $499 Custom Investment Report if you commission within 30 days.
The other cities
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.