BUILDING TRANSACTION DATA
신촌가이아
Seodaemun-gu (서대문구) · Daehyeon-dong (대현동) · Officetel (오피스텔)
Recent contracts6Last 6 completed months
New monthly-rent contracts4
Typical size27.4㎡
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 · ₩10,000,000–₩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 25.0㎡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.
Around 40.0㎡Under 5 contractsPrices and medians are hidden until at least 5 contracts are observed.
New vs renewal
New contracts4
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 | 29.0㎡ | ₩100,000,000≈ $75,000 | ₩400,000≈ $300 | Sep 12, 2026 |
| New | 26.6㎡ | ₩10,000,000≈ $7,500 | ₩850,000≈ $638 | Aug 10, 2026 |
| Renewal | 22.7㎡ | ₩10,000,000≈ $7,500 | ₩750,000≈ $563 | Jul 25, 2026 |
| New | 22.7㎡ | ₩10,000,000≈ $7,500 | ₩750,000≈ $563 | Jul 7, 2026 |
| Renewal | 28.2㎡ | ₩10,000,000≈ $7,500 | ₩850,000≈ $638 | May 28, 2026 |
| New | 42.4㎡ | ₩120,000,000≈ $90,000 | ₩600,000≈ $450 | May 9, 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.