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What rental yield can you expect in Bangkok? (2026)

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Bangkok's rental market in 2026 offers a wide range of opportunities, but not all neighborhoods and property types deliver the same returns.

In this guide, we break down the gross and net rental yields across 10 Bangkok neighborhoods and 30 property combinations, so you can see exactly where the numbers work best.

We constantly update this blog post to reflect the latest available data, so what you read here is always as current as possible.

And if you're planning to buy a property in Bangkok, you may want to download our real estate pack about Bangkok.

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Chalinna Salvin 🇹🇭

Co-Founder, Best BKK Condos

Chalinna, a Thai local, is the co-founder of one of Thailand’s top real estate agencies for foreigners. She’s also an expert on all the districts in Bangkok and knows the city’s top development projects inside out. When it comes to negotiating, she’s got you covered and will make sure you get the best deal possible. We spoke with her and added her insights to this blog post to bring a personal touch to our analysis.

A quick summary table

Metric Value
Bangkok neighborhood with highest rental yield On Nut (one-bedroom condo, 8.4% gross)
Bangkok neighborhood with lowest rental yield Silom (three-bedroom condo, 2.6% gross)
Average gross rental yield in Bangkok 4.7%
Average net rental yield in Bangkok 3.8%
Median Bangkok condo purchase price ฿10,733,503
Average monthly rent in Bangkok ฿54,298
Average Bangkok condo occupancy rate 91.6%
Fastest leasing Bangkok market On Nut one-bedroom (12 days)
Slowest leasing Bangkok market Silom three-bedroom (55 days)
Highest occupancy Bangkok market On Nut studio (96%)
Best value high-yield Bangkok segment On Nut and Bang Na studios and one-bedrooms
Bangkok rental yield dispersion 5.8 percentage points (from 2.6% to 8.4%)

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Neighborhoods and property types in the 2026 Bangkok condo market ranked by gross rental yield

This table ranks the top neighborhoods and property types in the Bangkok condo market by 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 pack about Bangkok.

# 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 On Nut One-bedroom condo 8.4% 6.9% ฿2,453,427 ฿17,130 ฿26,000 95% 12 days Young BTS commuters Heavy competing condo supply Top Pick
2 On Nut Two-bedroom condo 7.3% 5.7% ฿3,430,264 ฿20,867 ฿38,000 93% 18 days Small urban families Tenant budgets cap rents Top Pick
3 On Nut Studio condo 6.6% 5.3% ฿2,164,000 ฿11,885 ฿22,000 96% 14 days Entry-level BTS commuters High unit turnover Top Pick
4 Bang Na Two-bedroom condo 6.3% 5.1% ฿4,868,723 ฿25,664 ฿36,000 92% 22 days BITEC-linked households Supply growth near BTS Top Pick
5 Bang Na Studio condo 6.3% 5.0% ฿2,285,958 ฿11,921 ฿21,000 95% 15 days Junior office workers Price-sensitive tenant pool Top Pick
6 Phra Ram 9 Studio condo 5.7% 4.7% ฿3,853,188 ฿18,216 ฿25,000 95% 16 days New CBD staff New project handovers Strong Potential
7 Sathon Two-bedroom condo 5.6% 4.7% ฿18,292,704 ฿85,871 ฿68,000 90% 30 days CBD managers and couples High ticket size Strong Potential
8 Bang Na One-bedroom condo 5.6% 4.4% ฿2,876,284 ฿13,491 ฿25,000 94% 16 days BTS office commuters New launches pressure rents Strong Potential
9 Phra Ram 9 One-bedroom condo 5.2% 4.3% ฿5,070,035 ฿21,986 ฿30,000 94% 18 days Young office professionals Pipeline keeps incentives high Good Potential
10 Ekkamai Two-bedroom condo 5.2% 4.3% ฿13,607,545 ฿58,805 ฿64,000 92% 25 days Creative professionals and couples Luxury competition nearby Good Potential
11 Ekkamai One-bedroom condo 5.0% 4.1% ฿7,090,850 ฿29,348 ฿36,000 93% 19 days Young professionals in Sukhumvit Many similar one-beds Good Potential
12 Ekkamai Three-bedroom condo 4.6% 3.6% ฿24,836,364 ฿95,975 ฿118,000 89% 40 days Upper-income expat families Large-unit vacancy risk Good Potential
13 Ari One-bedroom condo 4.4% 3.6% ฿6,911,386 ฿25,267 ฿33,000 94% 18 days Young professionals in Ari Small market depth Good Potential
14 Phrom Phong One-bedroom condo 4.4% 3.6% ฿8,800,440 ฿32,337 ฿40,000 93% 20 days Japanese and expat couples Premium pricing compresses yields Good Potential
15 Thong Lo One-bedroom condo 4.4% 3.6% ฿9,198,582 ฿33,789 ฿42,000 92% 22 days High-income young professionals Premium entry prices Good Potential
16 Ari Two-bedroom condo 4.4% 3.5% ฿11,333,397 ฿41,936 ฿56,000 92% 24 days Civil servants and couples Shallower tenant depth Good Potential
17 Phra Ram 9 Two-bedroom condo 4.4% 3.5% ฿10,524,862 ฿38,930 ฿50,000 91% 25 days New CBD families Family demand still maturing Good Potential
18 Sathon One-bedroom condo 4.3% 3.5% ฿7,642,289 ฿27,528 ฿37,000 92% 21 days CBD single professionals Older buildings cap growth Good Potential
19 Asok Three-bedroom condo 4.3% 3.4% ฿31,330,631 ฿112,899 ฿115,000 89% 39 days Expat families near schools Narrow premium tenant pool Moderate Appeal
20 Asok One-bedroom condo 4.0% 3.4% ฿9,955,288 ฿33,371 ฿38,000 94% 18 days MRT-BTS office commuters High purchase basis Moderate Appeal
21 Thong Lo Two-bedroom condo 4.0% 3.1% ฿19,354,017 ฿64,337 ฿72,000 90% 28 days Affluent lifestyle couples Luxury oversupply pressure Moderate Appeal
22 Phrom Phong Two-bedroom condo 3.8% 2.8% ฿18,856,884 ฿59,097 ฿70,000 91% 26 days Japanese expat families High common fees Moderate Appeal
23 Asok Two-bedroom condo 3.7% 3.0% ฿18,480,554 ฿57,001 ฿62,000 92% 24 days Expat couples near offices Older stock competes on price Moderate Appeal
24 Silom One-bedroom condo 3.6% 2.8% ฿10,942,143 ฿33,001 ฿42,000 91% 24 days CBD finance professionals Expensive entry pricing Moderate Appeal
25 Phrom Phong Three-bedroom condo 3.5% 2.7% ฿33,897,877 ฿99,905 ฿125,000 88% 42 days Executive expat families Slow leasing at top rents Moderate Appeal
26 Silom Two-bedroom condo 3.4% 2.7% ฿26,349,287 ฿75,224 ฿78,000 88% 34 days CBD expat couples Limited family-sized demand Limited Appeal
27 Thong Lo Three-bedroom condo 3.4% 2.7% ฿46,604,992 ฿132,254 ฿130,000 87% 45 days Executive expat households Very high capital outlay Limited Appeal
28 Ari Three-bedroom condo 3.4% 2.6% ฿22,422,500 ฿63,211 ฿98,000 89% 38 days Upper-income local families Few tenant matches Limited Appeal
29 Sathon Three-bedroom condo 3.1% 2.4% ฿51,418,800 ฿131,867 ฿135,000 86% 48 days Senior expat households Longer vacancy spells Limited Appeal
30 Silom Three-bedroom condo 2.6% 2.0% ฿72,633,469 ฿155,828 ฿145,000 84% 55 days Executive CBD households Thin luxury leasing pool Limited Appeal

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Key insights about rental yields in Bangkok

Insights

  • Bangkok's On Nut one-bedroom condos deliver 8.4% gross yield, more than triple the 2.6% of Silom three-bedrooms, showing that affordable BTS locations consistently outperform prestigious CBD addresses on rental return.
  • Across all 30 Bangkok combinations, one-bedroom and studio condos rent in 12 to 19 days on average, while three-bedroom units take 38 to 55 days, meaning smaller units spend far less time sitting empty between tenants.
  • High common-area fees in Bangkok's prime districts quietly eat into net yields: a Phrom Phong three-bedroom pays ฿125,000 per year in ownership costs, pulling its net yield down to just 2.7% despite strong monthly rents.
  • Bang Na offers BTS access and yields above 5% for all unit types, making it one of the few Bangkok neighborhoods where you get transit convenience without paying core Sukhumvit prices.
  • Sathon two-bedroom condos are the strongest core CBD option for yield-focused buyers, returning 5.6% gross in an area where most other large units fall below 4%.
  • In Bangkok, "prestige" and "investment return" are not the same thing: Thong Lo, Phrom Phong, and Silom remain highly desirable places to live, but their purchase prices are so high that rental yields consistently sit in the bottom half of the table.

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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 pack about Bangkok.

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 Bangkok neighborhood and property type, we then aggregated the freshest purchase price and monthly rent data available. When possible, we cross-checked multiple sources to confirm the same range.

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 can vary a lot across Bangkok neighborhoods. That is why two areas with similar rents can still produce different net returns.

For example, Bangkok's central condo markets like Silom and Phrom Phong tend to have higher common-area fees and sinking-fund contributions, while older buildings in areas like Sathon may carry more maintenance and repair costs. In high-turnover neighborhoods like On Nut, vacancy and tenant-related costs can also be higher.

We also estimated ownership annual fees by combining the main recurring costs linked to each asset. In Bangkok, this includes items such as common-area fees, sinking-fund allowance, minor repairs, routine landlord upkeep, and insurance.

These estimates were not applied as one flat number across the city. They were adjusted by neighborhood and property type to better reflect local ownership conditions in each part of Bangkok.

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 pack about Bangkok.

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 pack about Bangkok, 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 we trust it How we used it
REIC (Thailand Real Estate Information Center) It is Thailand's official real estate data center, operating under the Government Housing Bank. We used REIC as the official anchor for understanding Thailand's housing conditions, transfers, and market direction. We relied on it to keep our Bangkok estimates aligned with the broader residential cycle in early 2026.
Bank of Thailand (Residential Property Price Index) It is the central bank's official housing price index series for Thailand. We used BOT price-index data to cross-check condo and low-rise pricing direction. We treated it as an official benchmark against the portal asking-price averages used in this analysis.
JLL Bangkok Residential Market Dynamics (Q4 2025) JLL is one of the world's largest real estate advisory firms and publishes structured Bangkok market research. We used JLL for late-2025 Bangkok condo market tone, absorption, and demand signals. We also used it to assess leasing depth, vacancy risk, and likely time-to-rent differences across Bangkok segments.
Knight Frank Bangkok Condominium Market (Q2 2025) Knight Frank is a major international property consultancy with established Bangkok coverage. We used Knight Frank to cross-check Bangkok condo pricing structure and competitive supply conditions. We relied on it to make sure we were not depending on only one private-sector view of the market.
PropertyScout (Bangkok condo sale pages) PropertyScout is a large Thailand residential portal with transparent neighborhood averages by unit type. We used PropertyScout sale pages for average asking prices by bedroom count across all 10 Bangkok neighborhoods. We treated these as the direct basis for the purchase price estimates in the table.
PropertyScout (Bangkok condo rental pages) It provides neighborhood-level Bangkok rental averages in a consistent format across all unit types. We used PropertyScout rental pages for average asking rents by bedroom count across all 10 Bangkok neighborhoods. We combined these with the sale data to calculate gross and net rental yields for each row.

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