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Seoul → Seodaemun-gu (서대문구) → Changcheon-dong (창천동) → 신촌 르메이에르타운5
BUILDING TRANSACTION DATA

신촌 르메이에르타운5

Seodaemun-gu (서대문구) · Changcheon-dong (창천동) · Officetel (오피스텔)

Recent contracts25Last 6 completed months
New monthly-rent contracts18
Typical size26.3㎡
Median jeonse deposit₩150,000,000≈ $112,500

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₩850,000≈ $638Median monthly rent · 18 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 25.0㎡₩850,000≈ $638Median monthly rent · 12 contracts · Median deposit: ₩10,000,000Median observed size: 26.2㎡
Around 30.0㎡₩900,000≈ $675Median monthly rent · 6 contracts · Median deposit: ₩10,000,000Median observed size: 31.4㎡

New vs renewal

New contracts22
Renewals3
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.

Jul 2026₩850,000≈ $6385 contracts

Recent signed contracts

These are recently reported signed contracts, not live inventory.

TypeSizeDepositMonthly rentContract date
New26.3㎡₩10,000,000≈ $7,500₩850,000≈ $638Sep 30, 2026
New26.2㎡₩10,000,000≈ $7,500₩850,000≈ $638Sep 15, 2026
New31.4㎡₩10,000,000≈ $7,500₩900,000≈ $675Sep 5, 2026
New26.3㎡₩10,000,000≈ $7,500₩850,000≈ $638Aug 22, 2026
New26.3㎡₩10,000,000≈ $7,500₩850,000≈ $638Aug 15, 2026
Renewal26.3㎡₩10,000,000≈ $7,500₩730,000≈ $548Aug 14, 2026
New26.7㎡₩10,000,000≈ $7,500₩760,000≈ $570Aug 10, 2026
New26.3㎡₩148,000,000≈ $111,000Jeonse-style · ₩0Aug 3, 2026
New24.9㎡₩10,000,000≈ $7,500₩850,000≈ $638Jul 26, 2026
New31.4㎡₩150,000,000≈ $112,500Jeonse-style · ₩0Jul 21, 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.