BUILDING TRANSACTION DATA
백촌오피스텔
Gwanak-gu · 신림동 · Officetel
Recent contracts7Last 6 completed months
New monthly-rent contracts7
Typical size17.1㎡
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$432≈ ₩600,000Median monthly rent · 6 contractsMedian deposit in this group: ₩10,000,000
Deposit range · ₩30,000,000–₩50,000,000$360≈ ₩500,000Median monthly rent · 1 contractsMedian deposit in this group: ₩30,000,000
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 15.0㎡5 contracts₩10,000,000–₩30,000,000 deposit → rent ₩595,000Median observed size: 17.1㎡
Around 20.0㎡2 contracts₩10,000,000–₩30,000,000 deposit → rent ₩625,000Median observed size: 19.1㎡
New vs renewal
New contracts7
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.
Feb 2026$425≈ ₩590,0005 contracts
Mar 2026$468≈ ₩650,0001 contracts
Jun 2026$432≈ ₩600,0001 contracts
Recent signed contracts
These are recently reported signed contracts, not live inventory.
| Type | Size | Deposit | Monthly rent | Contract date |
|---|---|---|---|---|
| New | 18.2㎡ | $7,200≈ ₩10,000,000 | $432≈ ₩600,000 | Jun 21, 2026 |
| New | 19.9㎡ | $7,200≈ ₩10,000,000 | $468≈ ₩650,000 | Mar 27, 2026 |
| New | 17.1㎡ | $7,200≈ ₩10,000,000 | $425≈ ₩590,000 | Feb 21, 2026 |
| New | 17.1㎡ | $7,200≈ ₩10,000,000 | $432≈ ₩600,000 | Feb 14, 2026 |
| New | 17.1㎡ | $21,600≈ ₩30,000,000 | $360≈ ₩500,000 | Feb 10, 2026 |
| New | 17.1㎡ | $7,200≈ ₩10,000,000 | $432≈ ₩600,000 | Feb 6, 2026 |
| New | 17.1㎡ | $7,200≈ ₩10,000,000 | $396≈ ₩550,000 | Feb 1, 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.