BUILDING TRANSACTION DATA
이문동오피스텔
Dongdaemun-gu (동대문구) · Imun-dong (이문동) · Officetel (오피스텔)
Recent contracts6Last 6 completed months
New monthly-rent contracts4
Typical size22.6㎡
Median jeonse deposit₩96,500,000≈ $70,445
Monthly rent by deposit
Monthly rent is compared within the same deposit range. New contracts are preferred when enough are identified.
Deposit range · < ₩10,000,000Under 5 contractsPrices are hidden until at least 5 contracts are observed.
Deposit range · ₩100,000,000–₩200,000,000Under 5 contractsPrices are hidden until at least 5 contracts are observed.
By floor area
Different size groups, such as roughly 60㎡ and 85㎡, are kept separate instead of being blended into one building-wide rent figure.
Around 20.0㎡Under 5 contractsPrices and medians are hidden until at least 5 contracts are observed.
Around 25.0㎡Under 5 contractsPrices and medians are hidden until at least 5 contracts are observed.
Around 50.0㎡Under 5 contractsPrices and medians are hidden until at least 5 contracts are observed.
New vs renewal
New contracts6
Renewals0
Not specified0
Raw monthly-rent trend
This raw trend can mix different deposit structures. Use the deposit-band sections above for a specific rent comparison.
Not enough monthly observations to show a trend.
Recent signed contracts
These are recently reported signed contracts, not live inventory.
| Type | Size | Deposit | Monthly rent | Contract date |
|---|---|---|---|---|
| New | 23.5㎡ | ₩103,000,000≈ $75,190 | Jeonse-style · ₩0 | Jul 25, 2026 |
| New | 20.5㎡ | ₩90,000,000≈ $65,700 | Jeonse-style · ₩0 | Jun 1, 2026 |
| New | 47.8㎡ | ₩140,000,000≈ $102,200 | ₩450,000≈ $329 | May 21, 2026 |
| New | 21.6㎡ | ₩5,000,000≈ $3,650 | ₩700,000≈ $511 | Feb 23, 2026 |
| New | 21.6㎡ | ₩5,000,000≈ $3,650 | ₩600,000≈ $438 | Feb 22, 2026 |
| New | 23.5㎡ | ₩5,000,000≈ $3,650 | ₩600,000≈ $438 | Feb 19, 2026 |
Use this as market context. Individual units can differ by floor, orientation, condition and contract terms. Rental and sale transactions are displayed as separate official reported datasets.