BUILDING TRANSACTION DATA
퍼스티안
· 공릉동 · Villa / low-rise multifamily (연립·다세대)
Recent contracts7Last 6 completed months
New monthly-rent contracts1
Typical size29.7㎡
Median jeonse deposit₩173,640,000≈ $126,757
Monthly rent by deposit
Monthly rent is compared within the same deposit range. New contracts are preferred when enough are identified.
Deposit range · ₩100,000,000–₩200,000,000Under 5 contractsPrices are hidden until at least 5 contracts are observed.
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 30.0㎡Under 5 contractsPrices and medians are hidden until at least 5 contracts are observed.
Around 55.0㎡Under 5 contractsPrices and medians are hidden until at least 5 contracts are observed.
New vs renewal
New contracts3
Renewals4
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 | 29.7㎡ | ₩152,000,000≈ $110,960 | ₩110,000≈ $80 | Jul 16, 2026 |
| Renewal | 56.5㎡ | ₩210,000,000≈ $153,300 | ₩90,000≈ $66 | May 15, 2026 |
| Renewal | 28.5㎡ | ₩173,640,000≈ $126,757 | ₩30,000≈ $22 | May 8, 2026 |
| New | 35.5㎡ | ₩115,760,000≈ $84,505 | Jeonse-style · ₩0 | Apr 16, 2026 |
| Renewal | 29.9㎡ | ₩173,640,000≈ $126,757 | Jeonse-style · ₩0 | Mar 28, 2026 |
| New | 29.7㎡ | ₩173,640,000≈ $126,757 | Jeonse-style · ₩0 | Mar 7, 2026 |
| Renewal | 29.7㎡ | ₩173,640,000≈ $126,757 | 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.