Get all the data you need about the real estate market in Daejeon
We update this blog post regularly so the data you see always reflects the latest market conditions.
Daejeon is a city where research employment, universities, and government offices create a steady pool of renters all year round.
That makes it a practical market to understand if you are thinking about buying a rental property in Korea.
And if you're planning to buy a property in Daejeon, you may want to download our real estate pack about Daejeon.
A quick summary table
| Metric | Value |
|---|---|
| Daejeon neighborhood with best rental yield | Bongmyeong-dong (studio officetel, 5.86% gross) |
| Daejeon neighborhood with weakest rental yield | Doan-dong (two-bedroom apartment, 4.55% gross) |
| Average gross yield across Daejeon | ~5.28% |
| Average net yield across Daejeon | ~3.60% |
| Median purchase price in Daejeon | KRW 210,000,000 |
| Average monthly rent in Daejeon | KRW 970,000 |
| Average occupancy rate in Daejeon | ~92% |
| Fastest-leasing Daejeon submarkets | Bongmyeong-dong and Eoeun-dong (11 days average) |
| Slowest-leasing Daejeon submarkets | Doan-dong and Gwanjeo-dong (17 to 18 days average) |
| Highest occupancy in Daejeon | Bongmyeong-dong and Eoeun-dong (95%) |
| Best value high-yield Daejeon segment | Small officetels and studio apartments near research hubs |
| Yield gap between top and bottom in Daejeon | 1.31 percentage points (5.86% vs 4.55% gross) |
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Daejeon neighborhoods and property types in 2026 ranked by rental yield
This table ranks the top neighborhoods and property types in Daejeon 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 pack about Daejeon.
| # | 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 | Bongmyeong-dong | Studio officetel | 5.86% | 4.38% | KRW 125,000,000 | KRW 610,000 | KRW 1,850,000 | 95% | 11 days | KAIST students and lab staff | Small-unit supply spikes | Top Pick |
| 2 | Bongmyeong-dong | One-bedroom officetel | 5.71% | 4.23% | KRW 168,000,000 | KRW 800,000 | KRW 2,050,000 | 94% | 12 days | Young researchers and singles | Management fee sensitivity | Strong Potential |
| 3 | Bongmyeong-dong | Compact two-room officetel | 5.55% | 4.03% | KRW 225,000,000 | KRW 1,040,000 | KRW 2,380,000 | 93% | 13 days | Dual-income young couples | Resale depth weaker | Good Potential |
| 4 | Eoeun-dong | Studio apartment | 5.80% | 4.31% | KRW 118,000,000 | KRW 570,000 | KRW 1,780,000 | 95% | 11 days | Graduate students and researchers | Older stock upkeep | Top Pick |
| 5 | Eoeun-dong | One-bedroom apartment | 5.61% | 4.07% | KRW 168,000,000 | KRW 785,000 | KRW 2,150,000 | 93% | 13 days | Young faculty and couples | Parking and age issues | Strong Potential |
| 6 | Eoeun-dong | Two-bedroom apartment | 5.18% | 3.58% | KRW 255,000,000 | KRW 1,100,000 | KRW 2,650,000 | 91% | 15 days | Staff families near KAIST | Limited newer inventory | Moderate Appeal |
| 7 | Gung-dong | One-room villa | 5.76% | 4.19% | KRW 98,000,000 | KRW 470,000 | KRW 1,550,000 | 94% | 12 days | Students near campus | Tenant turnover volatility | Strong Potential |
| 8 | Gung-dong | Studio villa | 5.59% | 4.04% | KRW 88,000,000 | KRW 410,000 | KRW 1,420,000 | 93% | 13 days | Budget students and interns | Older building standards | Good Potential |
| 9 | Gung-dong | Two-room villa | 5.24% | 3.71% | KRW 135,000,000 | KRW 590,000 | KRW 1,780,000 | 91% | 15 days | Student sharers and couples | Liquidity on resale | Good Potential |
| 10 | Gwanpyeong-dong | Studio officetel | 5.70% | 4.18% | KRW 138,000,000 | KRW 655,000 | KRW 2,020,000 | 94% | 12 days | Tech employees in Daedeok | Employer-linked demand swings | Strong Potential |
| 11 | Gwanpyeong-dong | One-bedroom officetel | 5.49% | 3.96% | KRW 175,000,000 | KRW 800,000 | KRW 2,180,000 | 93% | 13 days | Semiconductor and defense staff | Corporate leasing concentration | Good Potential |
| 12 | Gwanpyeong-dong | Two-bedroom apartment | 5.33% | 3.73% | KRW 320,000,000 | KRW 1,420,000 | KRW 3,050,000 | 92% | 14 days | Research families with children | Family demand can pause | Good Potential |
| 13 | Jeonmin-dong | Studio officetel | 5.66% | 4.13% | KRW 142,000,000 | KRW 670,000 | KRW 2,050,000 | 94% | 12 days | Institute staff and contractors | Older officetel competition | Strong Potential |
| 14 | Jeonmin-dong | One-bedroom apartment | 5.53% | 4.00% | KRW 180,000,000 | KRW 830,000 | KRW 2,220,000 | 93% | 13 days | Research couples and expats | Tenant expectations rising | Good Potential |
| 15 | Jeonmin-dong | Two-bedroom apartment | 5.11% | 3.50% | KRW 275,000,000 | KRW 1,170,000 | KRW 2,820,000 | 91% | 15 days | Institute families and expats | Newer rivals nearby | Moderate Appeal |
| 16 | Noeun-dong | Studio officetel | 5.64% | 4.11% | KRW 132,000,000 | KRW 620,000 | KRW 1,980,000 | 93% | 13 days | Singles near metro and retail | Pipeline of new stock | Strong Potential |
| 17 | Noeun-dong | One-bedroom apartment | 5.39% | 3.85% | KRW 178,000,000 | KRW 800,000 | KRW 2,280,000 | 92% | 14 days | Young couples and commuters | Rent ceiling from nearby supply | Good Potential |
| 18 | Noeun-dong | Two-bedroom apartment | 5.05% | 3.43% | KRW 290,000,000 | KRW 1,220,000 | KRW 2,980,000 | 90% | 16 days | School-focused local families | Slower upgrades on rent | Moderate Appeal |
| 19 | Dunsan-dong | Studio officetel | 5.49% | 3.93% | KRW 175,000,000 | KRW 800,000 | KRW 2,450,000 | 93% | 13 days | Office workers and transferees | Management fee drag | Good Potential |
| 20 | Dunsan-dong | One-bedroom apartment | 5.14% | 3.54% | KRW 245,000,000 | KRW 1,050,000 | KRW 2,750,000 | 91% | 15 days | Professionals near City Hall | Premium entry pricing | Moderate Appeal |
| 21 | Dunsan-dong | Two-bedroom apartment | 4.98% | 3.26% | KRW 390,000,000 | KRW 1,620,000 | KRW 3,350,000 | 90% | 16 days | Office families and school seekers | Lower yield at premium price | Moderate Appeal |
| 22 | Wolpyeong-dong | Studio officetel | 5.44% | 3.92% | KRW 150,000,000 | KRW 680,000 | KRW 2,080,000 | 92% | 14 days | Government staff and singles | Competing older towers | Good Potential |
| 23 | Wolpyeong-dong | One-bedroom apartment | 5.09% | 3.49% | KRW 205,000,000 | KRW 870,000 | KRW 2,450,000 | 91% | 15 days | Civil servants and commuters | Ageing complexes | Moderate Appeal |
| 24 | Wolpyeong-dong | Two-bedroom apartment | 4.94% | 3.28% | KRW 255,000,000 | KRW 1,050,000 | KRW 2,780,000 | 89% | 17 days | Families wanting central access | Rent growth stays modest | Moderate Appeal |
| 25 | Tanbang-dong | Studio officetel | 5.38% | 3.83% | KRW 165,000,000 | KRW 740,000 | KRW 2,300,000 | 92% | 14 days | Central-city office workers | Older product competition | Good Potential |
| 26 | Tanbang-dong | One-bedroom apartment | 5.02% | 3.39% | KRW 220,000,000 | KRW 920,000 | KRW 2,600,000 | 90% | 16 days | Central commuters and couples | Pricing tied to Dunsan-dong | Moderate Appeal |
| 27 | Tanbang-dong | Two-bedroom apartment | 4.88% | 3.20% | KRW 290,000,000 | KRW 1,180,000 | KRW 2,950,000 | 89% | 17 days | Families near central amenities | Slower leasing in shoulder months | Moderate Appeal |
| 28 | Doan-dong | Studio officetel | 5.06% | 3.46% | KRW 210,000,000 | KRW 885,000 | KRW 2,650,000 | 90% | 16 days | Young couples in new town | High acquisition cost | Moderate Appeal |
| 29 | Doan-dong | One-bedroom apartment | 4.72% | 3.02% | KRW 310,000,000 | KRW 1,220,000 | KRW 3,150,000 | 89% | 17 days | Newly married local couples | New-build premium compression | Limited Appeal |
| 30 | Doan-dong | Two-bedroom apartment | 4.55% | 2.80% | KRW 430,000,000 | KRW 1,630,000 | KRW 3,420,000 | 88% | 18 days | Upper-middle-income families | Premium pricing limits yield | Limited Appeal |
| 31 | Gwanjeo-dong | Three-bedroom apartment | 4.67% | 2.95% | KRW 365,000,000 | KRW 1,420,000 | KRW 3,280,000 | 88% | 18 days | Local families needing schools | Family rent budget ceiling | Limited Appeal |
Don't buy the wrong property, in the wrong area of Daejeon
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Key insights about rental yields in Daejeon
Insights
- Bongmyeong-dong studio officetels lead Daejeon with a 5.86% gross yield and just 11 days average time to rent, driven directly by KAIST and Daedeok research cluster demand.
- Daejeon officetels consistently beat apartments on gross yield, but the net gap shrinks after management fees. In some central locations, the difference is less than 0.5 percentage points.
- The cheapest entry point in this Daejeon dataset is Gung-dong studio villas at around KRW 88 million, yet they still produce a 5.59% gross yield, thanks to strong student demand from nearby campuses.
- Doan-dong looks safe and modern, but its two-bedroom apartments yield only 4.55% gross. High purchase prices are rising faster than rents can follow in that new-town area.
- Dunsan-dong is the most liquid Daejeon neighborhood for resale, but it rarely offers the top rental returns. If income yield is your priority, it is not where the math works best.
- Yuseong-linked neighborhoods such as Gwanpyeong-dong and Jeonmin-dong benefit from a mix of semiconductor, defense, and institute staff, which keeps tenant demand more stable than neighborhoods that rely on a single employer type.
- Across Daejeon, family-oriented two-bedroom and three-bedroom apartments almost never exceed 5.4% gross yield. The premium pricing attached to school zones and family amenities erodes rental returns.
- The occupancy gap between the best and worst Daejeon neighborhoods in this dataset is 7 percentage points (95% vs 88%). That gap has a direct effect on the real income you collect over a year.
- Eoeun-dong offers nearly the same occupancy and leasing speed as Bongmyeong-dong, but at lower purchase prices. It is the quieter version of the same research-cluster thesis.
- Villas in Gung-dong carry more building-age risk and weaker resale liquidity than officetels. Their yields look attractive on paper, but they require more active management and more careful due diligence on condition.
- The spread between the highest and lowest gross yield in Daejeon is just 1.31 percentage points. This is a relatively tight market. Choosing the wrong property type within a good neighborhood can matter more than choosing between neighborhoods.
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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 Daejeon.
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 Daejeon neighborhood and property type, we aggregated the freshest purchase price and monthly rent data available. When possible, we cross-checked multiple sources to confirm the same range. Korea has strong official data infrastructure through the Ministry of Land and the Korea Real Estate Board, which made that cross-checking process more reliable than in many other markets.
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 by neighborhood in Daejeon. That is why two areas with similar rents can still produce different net returns.
For example, central Daejeon officetels like those in Dunsan-dong carry higher management and maintenance fees than smaller units near the Daedeok research cluster. Older villas in Gung-dong may need more repair allowance. In high-turnover student areas, vacancy and tenant-related costs can also be higher across the board.
We also estimated ownership annual fees by combining the main recurring costs linked to each asset. This includes items such as property taxes, building maintenance fees where relevant, insurance, and a maintenance allowance.
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 Daejeon.
Korea's rental market also uses specific lease structures such as jeonse (a large lump-sum deposit in lieu of monthly rent) and wolse (monthly rent with a smaller deposit). Our estimates focus on wolse-based gross and net yield, as this is the most relevant framework for a standard income-generating rental investment. Deposit risk under jeonse structures adds a separate layer of complexity not fully captured in these yield figures.
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 Daejeon.
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 Daejeon, 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 is reliable | How we used it |
|---|---|---|
| Daejeon Metropolitan City Statistics | It is the city government's own statistics page, so population, employment, and district data come directly from the source. | We used it to understand where Daejeon's tenant demand is deepest by district and employment zone. We cross-referenced it to judge which neighborhoods have the most stable renter base. |
| Korea Real Estate Board (REB) | REB is Korea's official public body for real estate statistics and runs the national housing and officetel price surveys. | We used it as the main anchor for sale price and rent trends across Daejeon. We relied on its methodology to keep our gross yield estimates aligned with verified market movements. |
| MOLIT Actual Transaction Price Disclosure System | This is the Ministry of Land's official portal built from reported sales and lease contracts, which means the data comes from real transactions rather than asking prices. | We used it to check that our purchase price and rent estimates matched actual reported deals. We used it to avoid over-relying on portal listing prices, which can be higher than what is actually agreed. |
| REB Officetel Price Trend Survey | It is REB's own methodology page for the officetel survey, and it covers Daejeon among the tracked metropolitan areas. | We used it to build a separate set of assumptions for officetel-heavy neighborhoods like Bongmyeong-dong and Gwanpyeong-dong. We kept officetel estimates distinct from apartment estimates because the cost structures and demand profiles differ meaningfully. |
| KB Land Statistics Hub | KB is one of Korea's most established housing data providers and is widely used by local market participants and analysts. | We used it to compare official public trends with a major bank-led dataset and to refine relative pricing between stronger and weaker Daejeon neighborhoods. We also used it to sense-check the price gap between newer and older building stock. |
| Naver Pay Real Estate | Naver is Korea's dominant consumer property portal, making it the most practical source for understanding which neighborhoods and formats people are actually searching and listing. | We used it to identify which property types are most visible and commonly available in each Daejeon neighborhood. We used search activity and listing mix to confirm that the property types we selected are genuinely marketable and rentable. |
| INNOPOLIS DAEDEOK | It is the official site of Korea's innovation cluster network and gives a clear picture of the scale of research employment around Yuseong. | We used it to understand how deep the Daedeok research employment base is and why it supports steadier rental demand in nearby neighborhoods. We used it to justify stronger occupancy and leasing speed assumptions for research-cluster submarkets. |
| HUG Housing Guarantee Products | HUG is Korea's state housing guarantee agency and is central to understanding deposit risk in the Korean rental market. | We used it to frame the specific risks around jeonse deposit structures in Daejeon. We used its guarantee framework to shape the risk labels in neighborhoods where deposit exposure could affect an investor's net position. |
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