BUILDING TRANSACTION DATA
YP타운
· 독산동 · Officetel (오피스텔)
Recent contracts23Last 6 completed months
New monthly-rent contracts6
Typical size35.5㎡
Median jeonse deposit₩259,000,000≈ $189,070
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≈ $33Median monthly rent · 6 contractsMedian deposit in this group: ₩251,500,000
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 35.0㎡₩45,000≈ $33Median monthly rent · 6 contracts · Median deposit: ₩251,500,000Median observed size: 35.5㎡
New vs renewal
New contracts12
Renewals11
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.
Mar 2026₩40,000≈ $299 contracts
Recent signed contracts
These are recently reported signed contracts, not live inventory.
| Type | Size | Deposit | Monthly rent | Contract date |
|---|---|---|---|---|
| Renewal | 35.1㎡ | ₩248,700,000≈ $181,551 | ₩70,000≈ $51 | Jun 24, 2026 |
| Renewal | 37.3㎡ | ₩264,000,000≈ $192,720 | ₩80,000≈ $58 | Jun 23, 2026 |
| Renewal | 35.5㎡ | ₩251,500,000≈ $183,595 | ₩50,000≈ $37 | Jun 20, 2026 |
| Renewal | 37.3㎡ | ₩264,000,000≈ $192,720 | ₩50,000≈ $37 | Jun 20, 2026 |
| New | 35.5㎡ | ₩247,100,000≈ $180,383 | Jeonse-style · ₩0 | Apr 30, 2026 |
| Renewal | 35.1㎡ | ₩248,700,000≈ $181,551 | Jeonse-style · ₩0 | Apr 20, 2026 |
| New | 35.1㎡ | ₩244,300,000≈ $178,339 | Jeonse-style · ₩0 | Apr 9, 2026 |
| New | 35.5㎡ | ₩238,000,000≈ $173,740 | ₩100,000≈ $73 | Mar 21, 2026 |
| New | 37.3㎡ | ₩259,000,000≈ $189,070 | Jeonse-style · ₩0 | Mar 18, 2026 |
| Renewal | 35.1㎡ | ₩248,700,000≈ $181,551 | ₩70,000≈ $51 | Mar 18, 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.