BUILDING TRANSACTION DATA
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Seodaemun-gu (서대문구) · Naengcheon-dong (냉천동) · Villa / low-rise multifamily (연립·다세대)
Recent contracts8Last 6 completed months
New monthly-rent contracts8
Typical size25.8㎡
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 · ₩10,000,000–₩30,000,000₩1,200,000≈ $876Median monthly rent · 6 contractsMedian deposit in this group: ₩20,000,000
Deposit range · ₩50,000,000–₩100,000,000Under 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㎡₩1,200,000≈ $876Median monthly rent · 8 contracts · Median deposit: ₩20,000,000Median observed size: 25.8㎡
New vs renewal
New contracts8
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 | 23.0㎡ | ₩20,000,000≈ $14,600 | ₩1,200,000≈ $876 | May 20, 2026 |
| New | 25.8㎡ | ₩20,000,000≈ $14,600 | ₩1,200,000≈ $876 | Mar 23, 2026 |
| New | 26.7㎡ | ₩20,000,000≈ $14,600 | ₩1,200,000≈ $876 | Mar 9, 2026 |
| New | 25.8㎡ | ₩55,000,000≈ $40,150 | ₩1,050,000≈ $767 | Mar 2, 2026 |
| New | 23.0㎡ | ₩50,000,000≈ $36,500 | ₩1,050,000≈ $767 | Feb 27, 2026 |
| New | 25.8㎡ | ₩20,000,000≈ $14,600 | ₩1,200,000≈ $876 | Feb 20, 2026 |
| New | 26.5㎡ | ₩20,000,000≈ $14,600 | ₩1,200,000≈ $876 | Feb 6, 2026 |
| New | 25.8㎡ | ₩20,000,000≈ $14,600 | ₩1,200,000≈ $876 | 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.