BUILDING TRANSACTION DATA
강일타워
Gangdong-gu (강동구) · 강일동 · Officetel (오피스텔)
Recent contracts8Last 6 completed months
New monthly-rent contracts5
Typical size29.4㎡
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 · < ₩10,000,000Under 5 contractsPrices are hidden until at least 5 contracts are observed.
Deposit range · ₩10,000,000–₩30,000,000Under 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 30.0㎡Under 5 contractsPrices and medians are hidden until at least 5 contracts are observed.
Around 35.0㎡Under 5 contractsPrices and medians are hidden until at least 5 contracts are observed.
New vs renewal
New contracts5
Renewals3
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 | 28.8㎡ | ₩5,000,000≈ $3,750 | ₩750,000≈ $563 | Sep 22, 2026 |
| Renewal | 28.8㎡ | ₩5,000,000≈ $3,750 | ₩660,000≈ $495 | Sep 5, 2026 |
| Renewal | 29.6㎡ | ₩120,000,000≈ $90,000 | ₩60,000≈ $45 | Jul 29, 2026 |
| New | 29.6㎡ | ₩10,000,000≈ $7,500 | ₩700,000≈ $525 | Jul 21, 2026 |
| New | 29.1㎡ | ₩10,000,000≈ $7,500 | ₩700,000≈ $525 | Jul 11, 2026 |
| Renewal | 29.1㎡ | ₩5,000,000≈ $3,750 | ₩280,000≈ $210 | Jun 6, 2026 |
| New | 34.7㎡ | ₩5,000,000≈ $3,750 | ₩750,000≈ $563 | May 14, 2026 |
| New | 29.6㎡ | ₩5,000,000≈ $3,750 | ₩700,000≈ $525 | May 14, 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.