BUILDING TRANSACTION DATA
석촌트럼프월드
Songpa-gu (송파구) · 석촌동 · Villa / low-rise multifamily (연립·다세대)
Recent contracts7Last 6 completed months
New monthly-rent contracts3
Typical size25.6㎡
Median jeonse deposit₩167,000,000≈ $125,250
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 · ₩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 15.0㎡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.
New vs renewal
New contracts4
Renewals3
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 | 25.6㎡ | ₩50,000,000≈ $37,500 | ₩890,000≈ $668 | Sep 21, 2026 |
| Renewal | 26.9㎡ | ₩267,750,000≈ $200,813 | ₩50,000≈ $38 | Aug 31, 2026 |
| New | 26.9㎡ | ₩130,000,000≈ $97,500 | ₩510,000≈ $383 | Aug 22, 2026 |
| New | 25.6㎡ | ₩20,000,000≈ $15,000 | ₩960,000≈ $720 | Aug 13, 2026 |
| Renewal | 26.9㎡ | ₩10,000,000≈ $7,500 | ₩1,100,000≈ $825 | May 30, 2026 |
| New | 14.7㎡ | ₩167,000,000≈ $125,250 | Jeonse-style · ₩0 | May 6, 2026 |
| New | 14.7㎡ | ₩20,000,000≈ $15,000 | ₩590,000≈ $443 | Apr 24, 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.