
Get all the data you need about the real estate market in Phuket
This article covers residential rental yields across Phuket's main neighborhoods as of March 2026.
We update this blog post regularly so the figures you see here always reflect the most current data we have.
And if you're planning to buy a property in Phuket, you may want to download our real estate database about Phuket.


A quick summary table
| Metric | Value |
|---|---|
| Phuket neighborhood with the best rental yield | Wichit (1-bedroom condo, 8.8% gross / 7.0% net) |
| Phuket neighborhood with the weakest rental yields | Bang Tao and Patong (2-bedroom condos and villas, 6.7%–6.8% gross) |
| Average gross rental yield across Phuket | ~7.9% |
| Average net rental yield across Phuket | ~5.8% |
| Median purchase price for a Phuket condo | THB 4,800,000 |
| Average monthly rent in Phuket | THB 38,000–45,000 (1-bedroom beach condos) |
| Average occupancy rate in Phuket | ~90% |
| Fastest leasing market in Phuket | Phuket Town and Wichit (11–13 days on average) |
| Slowest leasing market in Phuket | Kata and Bang Tao (3-bedroom villas, 33–34 days) |
| Highest occupancy in Phuket | Wichit and Chalong (92–94%) |
| Best value high-yield segment in Phuket | Wichit and Nai Harn 1-bedroom condos |
| Phuket yield dispersion (gross) | 6.7% to 8.8% depending on area and property type |
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Phuket neighborhoods and property types in 2026 ranked by rental yield
This table ranks the top neighborhoods and property types in the Phuket residential market by gross rental yield.
For each neighborhood and property type, the table includes average purchase price, average monthly rent, gross rental yield, net rental yield, annual fees, average occupancy, average time to rent, main rental demand, main risk, and investment profile.
By the way, you'll find much more detailed data in our real estate database about Phuket.
| # | Neighborhood | Property type | Gross rental yield | Net rental yield | Average purchase price | Average monthly rent | Ownership annual fees | Average occupancy | Average time to rent | Main rental demand | Main risk | Rental Investment Profile |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Wichit | 1-bedroom condo | 8.8% | 7.0% | THB 2,600,000 | THB 19,000 | THB 24,000 | 94% | 12 days | Hospital staff and professionals | Limited upside on rents | Top Pick |
| 2 | Wichit | Studio condo | 8.2% | 6.6% | THB 1,900,000 | THB 13,000 | THB 18,000 | 93% | 13 days | Local workers and singles | Smaller-unit resale glut | Strong Potential |
| 3 | Wichit | 2-bedroom condo | 8.2% | 6.4% | THB 3,800,000 | THB 26,000 | THB 31,000 | 92% | 14 days | Small families and office staff | Competition from new stock | Strong Potential |
| 4 | Nai Harn | 1-bedroom condo | 8.5% | 6.3% | THB 4,800,000 | THB 34,000 | THB 38,000 | 91% | 17 days | Beach-oriented couples and nomads | Limited beach-walkable stock | Top Pick |
| 5 | Nai Harn | 2-bedroom condo | 8.3% | 6.0% | THB 8,400,000 | THB 58,000 | THB 64,000 | 88% | 21 days | Small families and retirees | Thin resale depth | Strong Potential |
| 6 | Nai Harn | Studio condo | 7.9% | 5.9% | THB 3,800,000 | THB 25,000 | THB 30,000 | 89% | 20 days | Solo renters and couples | Smaller-unit resale pressure | Good Potential |
| 7 | Karon | Studio condo | 8.5% | 6.2% | THB 4,800,000 | THB 34,000 | THB 38,000 | 90% | 18 days | Beach workers and couples | Seasonal demand swings | Strong Potential |
| 8 | Karon | 1-bedroom condo | 8.3% | 6.0% | THB 6,100,000 | THB 42,000 | THB 48,000 | 89% | 19 days | Couples and long-stay tourists | Steeper management fees | Strong Potential |
| 9 | Karon | 2-bedroom condo | 7.6% | 5.3% | THB 9,800,000 | THB 62,000 | THB 74,000 | 84% | 27 days | Families and longer-stay retirees | Premium entry price | Good Potential |
| 10 | Bang Tao | 1-bedroom condo | 8.4% | 6.6% | THB 5,400,000 | THB 38,000 | THB 42,000 | 91% | 18 days | Remote workers and couples | New-launch supply competition | Strong Potential |
| 11 | Bang Tao | 2-bedroom condo | 8.1% | 6.2% | THB 8,600,000 | THB 58,000 | THB 62,000 | 88% | 24 days | Expat families and couples | Premium pricing compression | Good Potential |
| 12 | Bang Tao | 3-bedroom villa | 6.8% | 4.8% | THB 24,000,000 | THB 135,000 | THB 240,000 | 82% | 33 days | Affluent families and long-stayers | High upkeep and seasonality | Moderate Appeal |
| 13 | Kata | 1-bedroom condo | 8.3% | 6.1% | THB 6,500,000 | THB 45,000 | THB 50,000 | 90% | 18 days | Couples and surf-season renters | Expensive beach-adjacent stock | Strong Potential |
| 14 | Kata | 2-bedroom condo | 7.2% | 5.0% | THB 10,400,000 | THB 62,000 | THB 78,000 | 86% | 24 days | Families and remote workers | Limited pricing flexibility | Good Potential |
| 15 | Kata | 3-bedroom villa | 6.8% | 4.7% | THB 22,000,000 | THB 125,000 | THB 210,000 | 80% | 34 days | Affluent families and holiday users | High capex for pools | Moderate Appeal |
| 16 | Rawai | 1-bedroom condo | 8.3% | 6.2% | THB 3,900,000 | THB 27,000 | THB 34,000 | 90% | 18 days | Remote workers and couples | Heavy competing condo stock | Strong Potential |
| 17 | Rawai | 2-bedroom condo | 8.3% | 6.0% | THB 7,200,000 | THB 50,000 | THB 56,000 | 88% | 21 days | Couples and small families | Newer projects crowding market | Strong Potential |
| 18 | Rawai | 3-bedroom villa | 8.2% | 5.7% | THB 17,500,000 | THB 120,000 | THB 185,000 | 84% | 29 days | Relocating families and retirees | Villa maintenance creep | Good Potential |
| 19 | Chalong | 1-bedroom condo | 7.7% | 6.1% | THB 2,800,000 | THB 18,000 | THB 26,000 | 92% | 15 days | Local professionals and trainees | Lower rent ceiling | Strong Potential |
| 20 | Chalong | Studio condo | 7.2% | 5.8% | THB 2,500,000 | THB 15,000 | THB 22,000 | 91% | 16 days | Gym workers and singles | Older-project management quality | Good Potential |
| 21 | Chalong | 2-bedroom townhouse | 6.7% | 5.0% | THB 4,500,000 | THB 25,000 | THB 45,000 | 89% | 20 days | School-linked families and couples | Road traffic and micro-location risk | Moderate Appeal |
| 22 | Patong | Studio condo | 7.8% | 5.8% | THB 4,900,000 | THB 32,000 | THB 38,000 | 90% | 17 days | Nightlife workers and couples | Noise and wear-and-tear | Good Potential |
| 23 | Patong | 1-bedroom condo | 7.0% | 5.1% | THB 6,300,000 | THB 37,000 | THB 47,000 | 88% | 21 days | Couples and short-stay converts | Constant competing inventory | Moderate Appeal |
| 24 | Patong | 2-bedroom condo | 6.7% | 4.7% | THB 8,900,000 | THB 50,000 | THB 68,000 | 84% | 27 days | Groups and small families | Weaker long-stay depth | Moderate Appeal |
| 25 | Kamala | Studio condo | 7.4% | 5.7% | THB 4,700,000 | THB 29,000 | THB 36,000 | 89% | 20 days | Solo renters and couples | Aging project management | Good Potential |
| 26 | Kamala | 1-bedroom condo | 7.6% | 5.8% | THB 5,500,000 | THB 35,000 | THB 44,000 | 88% | 22 days | Couples and remote workers | Hillside stock oversupply | Good Potential |
| 27 | Kamala | 2-bedroom condo | 7.5% | 5.4% | THB 8,800,000 | THB 55,000 | THB 66,000 | 84% | 28 days | Small families and retirees | Narrower tenant pool | Moderate Appeal |
| 28 | Phuket Town | Studio condo | 7.8% | 6.2% | THB 1,700,000 | THB 11,000 | THB 16,000 | 94% | 11 days | Local workers and students | Older building obsolescence | Strong Potential |
| 29 | Phuket Town | 1-bedroom condo | 7.5% | 6.0% | THB 2,400,000 | THB 15,000 | THB 22,000 | 93% | 12 days | Young professionals and couples | Lower tourist-linked upside | Good Potential |
| 30 | Phuket Town | 2-bedroom condo | 7.5% | 5.8% | THB 3,500,000 | THB 22,000 | THB 29,000 | 91% | 14 days | Office families and local couples | Rent growth capped by local incomes | Good Potential |
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Key insights about rental yields in Phuket
Insights
- Wichit's 1-bedroom Phuket condos deliver a 7.0% net yield, the highest in the dataset, while asking prices start at just THB 2.6 million, making them the most accessible high-performing entry point on the island.
- Phuket's villa gross yields look similar to condos on paper (around 6.8%), but the net yield gap is much wider because pool maintenance, garden care, and private systems can cost THB 185,000 to 240,000 per year in recurring fees alone.
- Nai Harn 1-bedroom condos combine a 6.3% net yield with a 17-day average time to rent and 91% occupancy, which is unusually strong for a beach-area location in Phuket, and it mostly comes from limited walkable supply near the beach.
- In the Phuket condo market, moving from a 1-bedroom to a 2-bedroom unit in the same neighborhood typically compresses gross yield by 0.5 to 1.2 percentage points, mainly because purchase prices rise faster than achievable rents.
- The urban Phuket markets of Wichit and Phuket Town consistently achieve 91 to 94% occupancy and lease in 11 to 14 days, outperforming several beach zones where seasonal demand still creates pockets of vacancy.
- Bang Tao 1-bedroom condos produce one of the best gross yields among Phuket beach neighborhoods at 8.4%, but entry prices above THB 5 million already reflect a premium, which reduces the margin for future capital gains compared to Rawai or Wichit.
- Rawai offers an unusual combination in the Phuket market: its 3-bedroom villas still deliver 8.2% gross and 5.7% net yield, which is meaningfully above what comparable Bang Tao or Kata villas return after maintenance, making it the exception to the Phuket villa rule.
- Phuket's overall net yield is roughly 1.8 to 2.2 percentage points below its gross yield, and that gap is larger for villas than condos because private infrastructure costs (pools, gardens, private roads) pull heavily on owner returns in Phuket estates.
- Chalong 1-bedroom condos at THB 2.8 million deliver 6.1% net yield and rent in 15 days, serving a stable demand base of Muay Thai trainees, fitness professionals, and local workers that is relatively immune to tourist seasonality in Phuket.
- Patong's Phuket studio condos rent in just 17 days and hold 90% occupancy, but the net yield of 5.8% is not higher than quieter urban areas because higher wear, competing inventory, and management intensity eat into the advantage of fast leasing.
- Across the Phuket dataset, the neighborhoods that lease fastest (Wichit, Phuket Town, Chalong at 11 to 16 days) are all urban non-beach areas, while premium beach zones like Bang Tao villas and Kata villas take 33 to 34 days on average to find a tenant.
- The yield spread across Phuket property types is wider than many buyers expect: the best net yield in the dataset (7.0% in Wichit) is nearly 2.5 percentage points above the weakest (4.7% in Kata and Patong villas), which means asset and location selection matters more than overall market timing in Phuket.
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About our methodology
We also believe it is important to show our reasoning. It is one of the ways we make our work solid, transparent, and rigorous, just as you will see in our real estate database about Phuket.
First, please note that this data is updated regularly, so what you see here reflects the current values as of today.
In order to get reliable data, we applied a strict source filter. We only used authoritative, verifiable sources, not random listings or unsupported figures. More on that point below.
For each Phuket neighborhood and property type, we aggregated the freshest purchase price and monthly rent data available for March 2026. When possible, we cross-checked multiple sources to confirm the same range. Phuket is too segmented to measure well from a single dataset, which is why we layered national economic data, professional advisory research, and live listing evidence together.
This allowed us to estimate rental yield before costs. That is the gross yield, based on annual rent versus purchase price.
We then estimated rental yield after costs. That is the net yield, after recurring ownership and operating expenses.
These expenses vary significantly across Phuket. That is why two areas with similar headline rents can still produce very different net returns for the owner.
For example, Phuket beach-zone condos in premium projects often carry common area maintenance fees of 40 to 120 baht per square meter per month, while private villa estates face higher total ownership costs from pools, gardens, and private infrastructure systems. In high-turnover short-stay areas like Patong, wear-and-tear and management intensity also reduce real net returns.
We also estimated ownership annual fees by combining the main recurring costs linked to each asset. This includes items such as common area maintenance fees, routine maintenance and a repair reserve, insurance, and a normal vacancy allowance. These estimates were not applied as one flat number across Phuket. They were adjusted by neighborhood and property type to better reflect local ownership conditions.
Occupancy rates and average time to rent are market estimates, not officially published statistics. We inferred them from neighborhood demand depth, pricing relative to local stock, tourism-linked demand patterns, and listing-market liquidity, and we kept them conservative for larger villas and more competitive premium beach zones.
This table should therefore be read as a structured market estimate, not as an exact guarantee of future performance. Honesty, quality, and rigor are at the core of our work, and they are also what you will find in our real estate database about Phuket.
What sources have we used to write this blog article?
Whether it's in our blog articles or the market analyses included in our real estate database about Phuket, we rely on verifiable sources and a transparent methodology.
We also aim to be fully transparent, so below we've listed the authoritative sources we used, and explained how we used them and the methods behind our estimates.
| Source | Why it's authoritative | How we used it |
|---|---|---|
| Bank of Thailand Residential Property Price Index | It is the Thai central bank's official residential price index, covering the entire country including southern Thailand. | We used it to anchor the broader South Thailand price backdrop heading into 2026. We also used it to make sure we were not overstating Phuket pricing against the wider regional trend. |
| Bank of Thailand Financial Stability Review 2025 | It is the Bank of Thailand's official annual stability report, covering housing demand and credit market conditions across the country. | We used it to understand that the 2026 Phuket market is selective rather than uniformly booming. We also used it to keep our yield assumptions realistic given still-cautious financing conditions. |
| REIC (Real Estate Information Center) | REIC is Thailand's national real estate information center, operating under Government Housing Bank, and provides official field-survey data on housing markets. | We used it to cross-check southern Thailand housing market direction and to understand Phuket's role within that regional context. We also used it to validate that Phuket remains one of the South's most significant residential submarkets. |
| CBRE Phuket Property Report | CBRE is one of the most established global real estate advisory firms in Thailand, and their Phuket research covers submarket-level dynamics in depth. | We used it to confirm that Phuket's residential market must be read through its distinct condo and villa submarkets rather than as one single asset class. We also used it to shape neighborhood-level demand logic and to assess supply competition risk by area. |
| CBRE Thailand 2026 Market Outlook | CBRE's annual Thailand outlook is a key professional reference for the current year's residential market tone and investment conditions. | We used it to keep our overall market framing balanced and grounded in 2026 conditions. We also used it to support the idea that asset selection matters more than broad market timing when investing in Phuket. |
| Airports of Thailand Traffic Report | It is an official traffic publication from Airports of Thailand, covering passenger volumes at Phuket International Airport. | We used it as a demand proxy for Phuket's rental market, since visitor flows and air traffic directly influence short-stay and medium-stay tenant demand across beach zones. We also used it to justify higher occupancy assumptions in beach-led submarkets. |
| Thailand Property portal (multiple area pages) | Thailand Property is a large national listings portal with transparent, live asking-price and rental data organized by neighborhood across Phuket. | We used area-specific pages covering Bang Tao, Kamala, Patong, Karon, Kata, Rawai, Nai Harn, Chalong, Wichit, and Phuket Town to anchor purchase prices and rents by submarket. We treated these as one leg of our triangulation, always cross-checking against other sources rather than relying on them alone. |
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