BUILDING TRANSACTION DATA
대한웰빙홈
· 갈현동 · Apartment (아파트)
Recent contracts11Last 6 completed months
New monthly-rent contracts3
Typical size15.5㎡
Median jeonse deposit₩207,500,000≈ $151,475
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.
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.
New vs renewal
New contracts5
Renewals5
Not specified1
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 | 25.1㎡ | ₩207,500,000≈ $151,475 | Jeonse-style · ₩0 | Jul 9, 2026 |
| Renewal | 25.1㎡ | ₩198,000,000≈ $144,540 | Jeonse-style · ₩0 | Jun 29, 2026 |
| New | 31.1㎡ | ₩220,000,000≈ $160,600 | Jeonse-style · ₩0 | May 23, 2026 |
| New | 15.5㎡ | ₩162,500,000≈ $118,625 | ₩10,000≈ $7 | May 19, 2026 |
| New | 15.5㎡ | ₩120,000,000≈ $87,600 | ₩220,000≈ $161 | Apr 16, 2026 |
| New | 15.5㎡ | ₩120,000,000≈ $87,600 | ₩220,000≈ $161 | Apr 16, 2026 |
| Not specified | 15.5㎡ | ₩139,000,000≈ $101,470 | ₩130,000≈ $95 | Apr 3, 2026 |
| Renewal | 15.5㎡ | ₩147,000,000≈ $107,310 | Jeonse-style · ₩0 | Mar 25, 2026 |
| Renewal | 31.1㎡ | ₩240,000,000≈ $175,200 | Jeonse-style · ₩0 | Mar 23, 2026 |
| Renewal | 15.5㎡ | ₩165,000,000≈ $120,450 | Jeonse-style · ₩0 | 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.