BUILDING TRANSACTION DATA
어바니엘
Gangdong-gu (강동구) · Cheonho-dong (천호동) · Apartment (아파트)
Recent contracts19Last 6 completed months
New monthly-rent contracts19
Typical size13.4㎡
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 · ₩10,000,000–₩30,000,000₩680,000≈ $496Median monthly rent · 19 contractsMedian deposit in this group: ₩10,000,000
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㎡₩680,000≈ $496Median monthly rent · 19 contracts · Median deposit: ₩10,000,000Median observed size: 13.4㎡
New vs renewal
New contracts19
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.
May 2026₩680,000≈ $4967 contracts
Jun 2026₩660,000≈ $4826 contracts
Recent signed contracts
These are recently reported signed contracts, not live inventory.
| Type | Size | Deposit | Monthly rent | Contract date |
|---|---|---|---|---|
| New | 13.4㎡ | ₩10,000,000≈ $7,300 | ₩700,000≈ $511 | Jul 10, 2026 |
| New | 13.4㎡ | ₩10,000,000≈ $7,300 | ₩680,000≈ $496 | Jun 25, 2026 |
| New | 13.4㎡ | ₩10,000,000≈ $7,300 | ₩640,000≈ $467 | Jun 24, 2026 |
| New | 13.4㎡ | ₩10,000,000≈ $7,300 | ₩620,000≈ $453 | Jun 24, 2026 |
| New | 13.4㎡ | ₩10,000,000≈ $7,300 | ₩600,000≈ $438 | Jun 17, 2026 |
| New | 13.4㎡ | ₩10,000,000≈ $7,300 | ₩680,000≈ $496 | Jun 5, 2026 |
| New | 13.4㎡ | ₩10,000,000≈ $7,300 | ₩710,000≈ $518 | Jun 4, 2026 |
| New | 13.4㎡ | ₩10,000,000≈ $7,300 | ₩600,000≈ $438 | May 22, 2026 |
| New | 13.4㎡ | ₩10,000,000≈ $7,300 | ₩680,000≈ $496 | May 22, 2026 |
| New | 13.6㎡ | ₩10,000,000≈ $7,300 | ₩730,000≈ $533 | May 18, 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.