BUILDING TRANSACTION DATA
현대1
· 염창동 · Apartment (아파트)
Recent contracts20Last 6 completed months
New monthly-rent contracts4
Typical size84.3㎡
Median jeonse deposit₩525,000,000≈ $383,250
Monthly rent by deposit
Monthly rent is compared within the same deposit range. New contracts are preferred when enough are identified.
Deposit range · ₩200,000,000–₩400,000,000Under 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 contracts8
Renewals12
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 | 84.3㎡ | ₩577,000,000≈ $421,210 | Jeonse-style · ₩0 | Jul 23, 2026 |
| Renewal | 84.3㎡ | ₩530,000,000≈ $386,900 | Jeonse-style · ₩0 | Jul 11, 2026 |
| Renewal | 84.2㎡ | ₩400,000,000≈ $292,000 | ₩700,000≈ $511 | Jun 24, 2026 |
| New | 84.8㎡ | ₩690,000,000≈ $503,700 | Jeonse-style · ₩0 | Jun 12, 2026 |
| Renewal | 84.1㎡ | ₩630,000,000≈ $459,900 | Jeonse-style · ₩0 | Jun 1, 2026 |
| New | 84.3㎡ | ₩300,000,000≈ $219,000 | Jeonse-style · ₩0 | May 28, 2026 |
| New | 84.3㎡ | ₩700,000,000≈ $511,000 | Jeonse-style · ₩0 | May 26, 2026 |
| Renewal | 84.3㎡ | ₩500,000,000≈ $365,000 | Jeonse-style · ₩0 | May 18, 2026 |
| New | 84.3㎡ | ₩350,000,000≈ $255,500 | ₩800,000≈ $584 | Apr 29, 2026 |
| New | 84.3㎡ | ₩300,000,000≈ $219,000 | ₩850,000≈ $621 | Apr 28, 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.