BUILDING TRANSACTION DATA
닷컴힐즈(1653-3)
Gwanak-gu · 봉천동 · Apartment
Recent contracts6Last 6 completed months
New monthly-rent contracts1
Typical size50.0㎡
Median jeonse deposit$324,000≈ ₩450,000,000
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–₩100,000,000$1,332≈ ₩1,850,000Median monthly rent · 2 contractsMedian deposit in this group: ₩65,000,000
Deposit range · ₩100,000,000–₩200,000,000$929≈ ₩1,290,000Median monthly rent · 1 contractsMedian deposit in this group: ₩150,000,000
Deposit range · ₩400,000,000+$79≈ ₩110,000Median monthly rent · 1 contractsMedian deposit in this group: ₩460,000,000
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 50.0㎡4 contracts₩50,000,000–₩100,000,000 deposit → rent ₩1,850,000Median observed size: 51.1㎡
New vs renewal
New contracts1
Renewals5
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.
Mar 2026$1,440≈ ₩2,000,0001 contracts
Apr 2026$929≈ ₩1,290,0003 contracts
Recent signed contracts
These are recently reported signed contracts, not live inventory.
| Type | Size | Deposit | Monthly rent | Contract date |
|---|---|---|---|---|
| Renewal | 51.1㎡ | $331,200≈ ₩460,000,000 | $79≈ ₩110,000 | Apr 7, 2026 |
| Renewal | 51.1㎡ | $57,600≈ ₩80,000,000 | $1,224≈ ₩1,700,000 | Apr 7, 2026 |
| Renewal | 51.1㎡ | $108,000≈ ₩150,000,000 | $929≈ ₩1,290,000 | Apr 4, 2026 |
| New | 49.0㎡ | $36,000≈ ₩50,000,000 | $1,440≈ ₩2,000,000 | Mar 26, 2026 |
| Renewal | 49.0㎡ | $324,000≈ ₩450,000,000 | Jeonse-style · ₩0 | Feb 20, 2026 |
| Renewal | 49.0㎡ | $324,000≈ ₩450,000,000 | Jeonse-style · ₩0 | Feb 20, 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.