Not ready to commission? Start with one of these.
// The deliverable
Every listing in your city and your band, collected the week you commission — not a template, not a stored database. The five at the top are the conclusion. The rows underneath are what make the conclusion worth anything. In your inbox in 5 days.
Two files. One commission.
// File 1 of 2
// File 2 of 2
| # | Building | District | m² | Asking | ฿/m² | Rent range | Net math | FQ | Listing |
|---|---|---|---|---|---|---|---|---|---|
| 1 | ███████ | Nimman | 42 | ฿3.10M | ฿74k | ███ | ███ | ✓ | ↗ |
| 2 | █████ | Riverside | 68 | ฿2.40M | ฿35k | ███ | ███ | ✓ | ↗ |
| 3 | █████████ | Chang Khlan | 55 | ฿2.90M | ฿53k | ███ | ███ | — | ↗ |
| 4 | ██████ | Santitham | 34 | ฿1.45M | ฿43k | ███ | ███ | ✓ | ↗ |
| 5 | ████████ | Old City | 48 | ฿2.75M | ฿57k | ███ | ███ | ✓ | ↗ |
| 6 | █████ | Hang Dong | 72 | ฿2.15M | ฿30k | ███ | ███ | — | ↗ |
| 7 | ███████ | Jed Yod | 38 | ฿1.80M | ฿47k | ███ | ███ | ✓ | ↗ |
| 8 | ██████ | Suthep | 61 | ฿3.45M | ฿57k | ███ | ███ | ✓ | ↗ |
| 9 | █████████ | Chang Phueak | 29 | ฿1.20M | ฿41k | ███ | ███ | — | ↗ |
| 10 | ████ | Fa Ham | 45 | ฿1.95M | ฿43k | ███ | ███ | ✓ | ↗ |
| 11 | ████████ | Nong Pa Khrang | 52 | ฿2.05M | ฿39k | ███ | ███ | ✓ | ↗ |
| 12 | ██████ | San Sai | 86 | ฿2.60M | ฿30k | ███ | ███ | — | ↗ |
| 13 | ███████ | Mae Hia | 31 | ฿1.35M | ฿44k | ███ | ███ | ✓ | ↗ |
| 14 | █████ | Tha Sala | 58 | ฿2.85M | ฿49k | ███ | ███ | ✓ | ↗ |
Illustrative rows, redacted. Yours ships unredacted — a live listing URL on every row, and every calculation shown.
// Proof · past deliveries
Three delivered runs, opened here as redacted case studies. District names stay; building names and every figure are withheld. These are historical output from past runs. They show you the format. They are not your data.
Open a full example — all 9 sections
Chiang Mai
Delivered March 2026 · historical
Example: the Chiang Mai report, redacted.
3,331 listings analysed
Open the example →
Phuket
Delivered 4 June 2026 · historical
Example: the Phuket report, redacted.
7,080 listings analysed
Open the example →
Bangkok
Delivered 4 June 2026 · historical
Example: the Bangkok report, redacted.
12,097 listings analysed
Open the example →
23,475
Rows delivered across
five runs, four markets
5 days
From brief
to delivered PDF
// What you are actually paying for
You can find five buildings in a weekend. You cannot screen a city.
Bangkok’s commission collected 44,252 sale-side records across four platforms and resolved them into a 12,097-row workbook, with rent cross-checked against 10,777 separate rental records. Never one source, and short-stay listings are removed before the data is built.
The full methodFAQ
The whole band. The workbook is built wider than the brief on purpose. The last Bangkok commission was briefed at 3M to 12M baht and the delivered file runs from 522,000 to 450,000,000: 633 rows below the brief, 365 above it. I do not narrow the research and hand you the narrow part. One limit, stated up front: rows whose rent evidence does not survive the checks are flagged as unconfirmed rather than filled with a guess. Where the brief is Thai, the foreign-quota position is checked building by building as part of the work.
Some of them were. That is not the product. A published ranking is one city from one past run, and listings turn over weekly. What you commission is the file underneath a ranking: every condominium listing in your city and your band, collected the week you order, on one standard, with a live link on every row. The five at the top are the conclusion. The rows underneath are what make the conclusion worth anything.
No. Collection runs after your brief is accepted, against listings live that week. The five-day clock is the collection, the rent cross-checking, the foreign-quota calls and the write-up. That is why it takes five days instead of five minutes.
It scales with the city. Bangkok delivered 12,097 rows, 47 columns each. Phuket, 7,080. Chiang Mai, 3,331. A live listing link on 100% of them. Ask in the brief and I will tell you the realistic count for your city before you spend anything.
You can. Here is what it costs. Fourteen portals probed to find the five that carry real inventory. Five different data structures, two needing a full browser session. 44,252 sale-side records and 50,777 rental records on Bangkok alone. Portal rent figures are agent estimates, so rent is cross-checked across six independent rental sources and biased to the lower figure whenever two disagree by more than 15%. Every building more than 15% above its peer group is re-estimated downward. Foreign quota is a phone call per building. Then every survivor is re-verified against its live listing before it ships. Collection alone runs 24 to 48 hours. Building the machine took weeks. Renting a week of it costs $499.
Then that is the answer and it is worth $499. You still get the full workbook, so you can see exactly what your band buys and where the money would have to move to work. If the brief is not buildable at all, I say so in the 24-hour reply and you are not charged.
// The data behind this report
Same depth as the methodology. Every redaction filled in. Your city, your budget.
Refund before research starts · 5-day delivery · Direct to Stan
Or start with the $20 Protocol →
// Not ready to commission
The same underwriting, already done. Every building named, every unit counted. Credited in full against the $499 if you commission within 30 days.
The free version of the Pattaya work is the two Pattaya catchments, ranked.
Still deciding
Tell me the city and the budget and I will tell you whether there is enough data to underwrite it before you spend anything. If there is not, I will say so.
No obligation, and no automated sequence — this one reaches me directly.
I read these myself and reply personally, usually the same day. If the data will not support the city you named, that is what the reply will say.
I am not a licensed real estate broker or agent in any jurisdiction. I don’t represent buyers or sellers, don’t introduce parties, take no commission. Listing URLs in reports are public verification sources, not introductions.
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.