BUILDING TRANSACTION DATA
한화오벨리스크
Songpa-gu (송파구) · Garak-dong (가락동) · Officetel (오피스텔)
Recent contracts7Last 6 completed months
New monthly-rent contracts4
Typical size56.9㎡
Median jeonse deposit₩325,000,000≈ $237,250
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 55.0㎡Under 5 contractsPrices and medians are hidden until at least 5 contracts are observed.
New vs renewal
New contracts5
Renewals2
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 | 56.9㎡ | ₩360,000,000≈ $262,800 | Jeonse-style · ₩0 | Jun 20, 2026 |
| Renewal | 30.3㎡ | ₩170,000,000≈ $124,100 | Jeonse-style · ₩0 | Jun 14, 2026 |
| New | 56.9㎡ | ₩40,000,000≈ $29,200 | ₩1,500,000≈ $1,095 | Jun 11, 2026 |
| New | 56.9㎡ | ₩30,000,000≈ $21,900 | ₩1,500,000≈ $1,095 | May 30, 2026 |
| New | 30.3㎡ | ₩10,000,000≈ $7,300 | ₩750,000≈ $548 | May 2, 2026 |
| Renewal | 56.9㎡ | ₩325,000,000≈ $237,250 | Jeonse-style · ₩0 | Apr 11, 2026 |
| New | 30.3㎡ | ₩10,000,000≈ $7,300 | ₩800,000≈ $584 | Mar 10, 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.