BUILDING TRANSACTION DATA
디에이원파크
Seodaemun-gu (서대문구) · Hongeun-dong (홍은동) · Officetel (오피스텔)
Recent contracts7Last 6 completed months
New monthly-rent contracts4
Typical size32.1㎡
Median jeonse deposit₩247,000,000≈ $180,310
Monthly rent by deposit
Monthly rent is compared within the same deposit range. New contracts are preferred when enough are identified.
Deposit range · ₩10,000,000–₩30,000,000Under 5 contractsPrices are hidden until at least 5 contracts are observed.
Deposit range · ₩30,000,000–₩50,000,000Under 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 30.0㎡Under 5 contractsPrices and medians are hidden until at least 5 contracts are observed.
Around 35.0㎡Under 5 contractsPrices and medians are hidden until at least 5 contracts are observed.
New vs renewal
New contracts6
Renewals1
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 | 32.7㎡ | ₩20,000,000≈ $14,600 | ₩1,000,000≈ $730 | Jun 27, 2026 |
| New | 32.1㎡ | ₩20,000,000≈ $14,600 | ₩1,050,000≈ $767 | May 27, 2026 |
| New | 32.1㎡ | ₩250,000,000≈ $182,500 | Jeonse-style · ₩0 | May 9, 2026 |
| New | 32.1㎡ | ₩30,000,000≈ $21,900 | ₩1,000,000≈ $730 | May 5, 2026 |
| Renewal | 32.1㎡ | ₩247,000,000≈ $180,310 | Jeonse-style · ₩0 | Apr 2, 2026 |
| New | 32.2㎡ | ₩30,000,000≈ $21,900 | ₩1,000,000≈ $730 | Mar 16, 2026 |
| New | 32.2㎡ | ₩220,000,000≈ $160,600 | Jeonse-style · ₩0 | Mar 5, 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.