BUILDING TRANSACTION DATA
더존예가B
Gangdong-gu (강동구) · Seongnae-dong (성내동) · Villa / low-rise multifamily (연립·다세대)
Recent contracts7Last 6 completed months
New monthly-rent contracts5
Typical size18.7㎡
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 · ₩50,000,000–₩100,000,000Under 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 20.0㎡Under 5 contractsPrices and medians are hidden until at least 5 contracts are observed.
Around 30.0㎡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 | 18.7㎡ | ₩189,000,000≈ $137,970 | ₩100,000≈ $73 | Jul 4, 2026 |
| New | 18.7㎡ | ₩189,000,000≈ $137,970 | ₩170,000≈ $124 | Jun 12, 2026 |
| Renewal | 16.3㎡ | ₩150,000,000≈ $109,500 | ₩240,000≈ $175 | Jun 10, 2026 |
| Renewal | 16.6㎡ | ₩156,200,000≈ $114,026 | ₩240,000≈ $175 | Jun 2, 2026 |
| New | 29.3㎡ | ₩54,000,000≈ $39,420 | ₩1,060,000≈ $774 | May 8, 2026 |
| New | 18.7㎡ | ₩189,000,000≈ $137,970 | ₩200,000≈ $146 | Apr 7, 2026 |
| New | 18.7㎡ | ₩54,000,000≈ $39,420 | ₩900,000≈ $657 | Feb 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.