BUILDING TRANSACTION DATA
청량리역해링턴플레이스
Dongdaemun-gu (동대문구) · Yongdu-dong (용두동) · Apartment (아파트)
Recent contracts8Last 6 completed months
New monthly-rent contracts2
Typical size84.9㎡
Median jeonse deposit₩800,000,000≈ $584,000
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–₩100,000,000Under 5 contractsPrices are hidden until at least 5 contracts are observed.
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 85.0㎡Under 5 contractsPrices and medians are hidden until at least 5 contracts are observed.
New vs renewal
New contracts7
Renewals1
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 |
|---|---|---|---|---|
| Renewal | 84.9㎡ | ₩50,000,000≈ $36,500 | ₩3,360,000≈ $2,453 | Jun 24, 2026 |
| New | 84.9㎡ | ₩100,000,000≈ $73,000 | ₩3,000,000≈ $2,190 | May 29, 2026 |
| New | 84.9㎡ | ₩840,000,000≈ $613,200 | Jeonse-style · ₩0 | May 14, 2026 |
| New | 84.9㎡ | ₩850,000,000≈ $620,500 | Jeonse-style · ₩0 | Apr 11, 2026 |
| New | 84.9㎡ | ₩800,000,000≈ $584,000 | Jeonse-style · ₩0 | Mar 24, 2026 |
| New | 84.9㎡ | ₩760,000,000≈ $554,800 | Jeonse-style · ₩0 | Mar 21, 2026 |
| New | 84.9㎡ | ₩50,000,000≈ $36,500 | ₩3,200,000≈ $2,336 | Mar 16, 2026 |
| New | 60.0㎡ | ₩700,000,000≈ $511,000 | Jeonse-style · ₩0 | Mar 7, 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.