BUILDING TRANSACTION DATA
상떼 오피스텔
Gangdong-gu (강동구) · Cheonho-dong (천호동) · Officetel (오피스텔)
Recent contracts6Last 6 completed months
New monthly-rent contracts6
Typical size19.2㎡
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₩550,000≈ $402Median monthly rent · 5 contractsMedian deposit in this group: ₩10,000,000
Deposit range · ₩30,000,000–₩50,000,000Under 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 20.0㎡Under 5 contractsPrices and medians are hidden until at least 5 contracts are observed.
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 contracts6
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 | 19.2㎡ | ₩10,000,000≈ $7,300 | ₩550,000≈ $402 | Jul 13, 2026 |
| New | 19.2㎡ | ₩20,000,000≈ $14,600 | ₩500,000≈ $365 | Jun 27, 2026 |
| New | 19.2㎡ | ₩10,000,000≈ $7,300 | ₩550,000≈ $402 | Apr 23, 2026 |
| New | 30.0㎡ | ₩30,000,000≈ $21,900 | ₩650,000≈ $475 | Apr 18, 2026 |
| New | 34.2㎡ | ₩20,000,000≈ $14,600 | ₩800,000≈ $584 | Mar 16, 2026 |
| New | 19.2㎡ | ₩10,000,000≈ $7,300 | ₩550,000≈ $402 | Feb 6, 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.