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Seoul → Seodaemun-gu (서대문구) → Changcheon-dong (창천동) → 연세힐하우스
BUILDING TRANSACTION DATA

연세힐하우스

Seodaemun-gu (서대문구) · Changcheon-dong (창천동) · Villa / low-rise multifamily (연립·다세대)

Recent contracts5Last 6 completed months
New monthly-rent contracts5
Typical size22.4㎡
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–₩30,000,000Under 5 contractsPrices are hidden until at least 5 contracts are observed.
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 15.0㎡Under 5 contractsPrices and medians are hidden until at least 5 contracts are observed.
Around 20.0㎡Under 5 contractsPrices and medians are hidden until at least 5 contracts are observed.
Around 25.0㎡Under 5 contractsPrices and medians are hidden until at least 5 contracts are observed.
Around 45.0㎡Under 5 contractsPrices and medians are hidden until at least 5 contracts are observed.

New vs renewal

New contracts5
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.

TypeSizeDepositMonthly rentContract date
New22.4㎡₩10,000,000≈ $7,300₩570,000≈ $416Jun 6, 2026
New12.9㎡₩10,000,000≈ $7,300₩580,000≈ $423Mar 17, 2026
New43.6㎡₩10,000,000≈ $7,300₩580,000≈ $423Mar 4, 2026
New12.9㎡₩10,000,000≈ $7,300₩580,000≈ $423Mar 1, 2026
New23.1㎡₩30,000,000≈ $21,900₩430,000≈ $314Feb 2, 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.