BUILDING TRANSACTION DATA
하늘빌
Mapo-gu (마포구) · Sangam-dong (상암동) · Villa / low-rise multifamily (연립·다세대)
Recent contracts6Last 6 completed months
New monthly-rent contracts6
Typical size18.0㎡
Median jeonse deposit₩0≈ $0
Monthly rent by deposit
Monthly rent is compared within the same deposit range. New contracts are preferred when enough are identified.
Deposit range · < ₩10,000,000Under 5 contractsPrices are hidden until at least 5 contracts are observed.
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 15.0㎡Under 5 contractsPrices and medians are hidden until at least 5 contracts are observed.
Around 20.0㎡Under 5 contractsPrices and medians are hidden until at least 5 contracts are observed.
New vs renewal
New contracts6
Renewals0
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 | 19.6㎡ | ₩5,000,000≈ $3,650 | ₩500,000≈ $365 | Jun 20, 2026 |
| New | 18.7㎡ | ₩25,000,000≈ $18,250 | ₩450,000≈ $329 | May 27, 2026 |
| New | 17.7㎡ | ₩10,000,000≈ $7,300 | ₩570,000≈ $416 | Mar 13, 2026 |
| New | 14.1㎡ | ₩10,000,000≈ $7,300 | ₩570,000≈ $416 | Mar 5, 2026 |
| New | 18.2㎡ | ₩30,000,000≈ $21,900 | ₩350,000≈ $256 | Feb 28, 2026 |
| New | 14.7㎡ | ₩10,000,000≈ $7,300 | ₩530,000≈ $387 | Feb 26, 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.