BUILDING TRANSACTION DATA
엘리시아빌딩(23-117)
· 대방동 · Villa / low-rise multifamily (연립·다세대)
Recent contracts6Last 6 completed months
New monthly-rent contracts5
Typical size23.8㎡
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 · ₩100,000,000–₩200,000,000Under 5 contractsPrices are hidden until at least 5 contracts are observed.
Deposit range · ₩200,000,000–₩400,000,000Under 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.
Around 30.0㎡Under 5 contractsPrices and medians are hidden until at least 5 contracts are observed.
New vs renewal
New contracts5
Renewals1
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 | 28.3㎡ | ₩217,900,000≈ $163,425 | ₩100,000≈ $75 | Aug 24, 2026 |
| New | 15.2㎡ | ₩130,000,000≈ $97,500 | ₩250,000≈ $188 | Aug 7, 2026 |
| New | 14.1㎡ | ₩130,000,000≈ $97,500 | ₩100,000≈ $75 | Jul 25, 2026 |
| New | 19.4㎡ | ₩180,000,000≈ $135,000 | ₩50,000≈ $38 | Jul 10, 2026 |
| New | 28.3㎡ | ₩208,000,000≈ $156,000 | ₩250,000≈ $188 | Apr 23, 2026 |
| New | 28.3㎡ | ₩208,000,000≈ $156,000 | ₩250,000≈ $188 | Apr 23, 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.