BUILDING TRANSACTION DATA
이대프리젠#3
Seodaemun-gu (서대문구) · Daehyeon-dong (대현동) · Officetel (오피스텔)
Recent contracts8Last 6 completed months
New monthly-rent contracts1
Typical size20.5㎡
Median jeonse deposit₩204,250,000≈ $153,188
Monthly rent by deposit
Monthly rent is compared within the same deposit range. New contracts are preferred when enough are identified.
Deposit range · ₩200,000,000–₩400,000,000₩45,000≈ $34Median monthly rent · 6 contractsMedian deposit in this group: ₩236,000,000
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㎡₩40,000≈ $30Median monthly rent · 5 contracts · Median deposit: ₩231,000,000Median observed size: 20.5㎡
Around 40.0㎡Under 5 contractsPrices and medians are hidden until at least 5 contracts are observed.
New vs renewal
New contracts2
Renewals6
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 |
|---|---|---|---|---|
| Renewal | 21.4㎡ | ₩241,000,000≈ $180,750 | ₩50,000≈ $38 | Sep 11, 2026 |
| Renewal | 20.5㎡ | ₩231,000,000≈ $173,250 | ₩40,000≈ $30 | Sep 7, 2026 |
| New | 21.4㎡ | ₩231,000,000≈ $173,250 | ₩40,000≈ $30 | Aug 8, 2026 |
| Renewal | 20.5㎡ | ₩241,000,000≈ $180,750 | Jeonse-style · ₩0 | Jul 24, 2026 |
| Renewal | 20.0㎡ | ₩230,000,000≈ $172,500 | ₩40,000≈ $30 | Jul 22, 2026 |
| Renewal | 20.5㎡ | ₩241,000,000≈ $180,750 | ₩50,000≈ $38 | Jul 9, 2026 |
| New | 14.5㎡ | ₩167,500,000≈ $125,625 | Jeonse-style · ₩0 | Jun 20, 2026 |
| Renewal | 41.8㎡ | ₩297,000,000≈ $222,750 | ₩60,000≈ $45 | Apr 30, 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.