Thailand Airbnb Performance by Area: September 2026

Data by Brixfox ·

Ornate gilded Buddhist temple with a tiered white chedi — Brixfox short-term-rental data by area, 2026

Short-term-rental performance in Thailand varies by area. The table below shows how 6,961 actively-rented Airbnb listings across 12 areas performed in September 2026, measured night by night from their calendars.

The areas are ordered by how many listings actively rented, the depth of each market. Read each row across: occupancy, the advertised nightly rate and the revenue estimate for the median listing tell different stories, and no one area leads every column.

Thailand Airbnb performance by area, September 2026

Brixfox calendar data, September 2026. Performing listings = listings with a full September calendar that booked at least 10% of the month’s nights. Occupancy = median share of September nights booked; nightly rate = median advertised rate for September stays; revenue = the median of each performing listing’s estimated September gross (its own occupancy × its own advertised rate × 30 nights), USD — usually a little below the two median columns multiplied together.

AreaPerforming listingsOccupancyNightly rateEst. Sep revenue
Koh Phangan1,31473%$135$2,794
Lamai72463%$190$3,666
Patong66060%$94$1,749
Surin/Bang Tao65560%$72$1,379
Choeng Mon63453%$233$3,195
Rawai/Nai Harn58460%$110$1,852
Maenam47550%$191$2,647
Thalang47247%$209$2,752
Kamala44867%$109$1,733
Kata/Karon35350%$92$1,451
Chalong32748%$91$1,397
Bophut/Fisherman31558%$191$3,031

The 12 areas with the most performing listings, of 17 that clear the bar: at least 100 performing listings, 50 of them with an advertised rate. 4 more areas clear it but are left out, because their revenue estimate does not follow from their own occupancy and rate: it rests on the listings that advertise a rate, which differ too much there from the area as a whole. A night counts as booked when its calendar was closed on a reading taken at least a day before the night and ahead of any advance notice the host requires; calendars closed almost end to end with no detected booking, and listings our data engine flags as likely owner-blocked, are left out.

What the data says

  • Koh Phangan has the most performing listings (1,314) and the highest occupancy (73%).
  • Lamai has the highest estimated September revenue for the median listing ($3,666).
  • Choeng Mon has the highest nightly rate ($233).
  • Surin/Bang Tao has the lowest nightly rate ($72).
  • Surin/Bang Tao and Chalong have the lowest estimated September revenue ($1,379 and $1,397) — level with each other.

What separates the areas

Estimated September revenue for the median listing runs from $1,379 in Surin/Bang Tao to $3,666 in Lamai, a spread of 2.7 times. Koh Phangan booked the largest share of September nights (73%), while Choeng Mon asks the most per night ($233): read across the rows, not down one column.

Read this as a filter, not a verdict

An area figure is a starting filter, never a decision on a specific property. Even in the strongest areas the best-run listings clear far more than it, and the weakest far less. Brixfox computes per-property yield on this same calendar data so an area read like this becomes a specific, underwritable decision.

Seasonality: one month is not a year

On the same listings, hosts ask these multiples of their September rate — November stays: Islands 1.02, Koh Samui 0.99, Phuket 1.73; January stays: Islands 1.60, Koh Samui 1.53, Phuket 2.64. Asking rates show how hosts price the months ahead, not how full those months get. Our night-by-night archive began on 22 July 2026, so the complete months it covers run from August 2026 to September 2026. Underwrite on all twelve months, never on September × 12.

How this is measured

Brixfox tracks 1.8M+ short-term-rental listings across 50+ countries and territories. For the listings whose Airbnb calendars it reads, it keeps each night’s final booked-or-open state in a night-by-night archive that began on 22 July 2026. This post covers September 2026 and the listings we track in Thailand (Phuket, Koh Samui and Islands) with a full September calendar (25 or more nights observed). A listing counts as performing if it booked at least 10% of the month’s nights; occupancy and nightly rate are medians across performing listings, and estimated revenue is the median of each performing listing’s own estimate — its occupancy × its advertised nightly rate × 30 nights — which is not the two medians multiplied together and usually sits a little below that product. Nightly rates are what hosts advertise for September stays — Airbnb does not publish what a night actually sold for. A night counts as booked when its calendar was closed on a reading taken at least a day before the night and ahead of any advance notice the host requires. Airbnb closes a night on its own date, and every night inside a host’s notice period of up to seven days, whether or not it sold, so those readings are not counted, and neither is a booking made that late. Some owner-blocked nights remain in the figures; calendars closed almost end to end with no detected booking are left out as unverifiable, and so are listings our data engine flags as likely owner-blocked. An area needs at least 100 performing listings, 50 of them with an advertised rate, to appear. The seasonality ratios compare the same listings’ advertised rates for those months (the median of each listing’s ratio). Informational, not investment advice.

See also