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Seoul → Seodaemun-gu (서대문구) → Daehyeon-dong (대현동) → 영타운 지웰 에스테이트
BUILDING TRANSACTION DATA

영타운 지웰 에스테이트

Seodaemun-gu (서대문구) · Daehyeon-dong (대현동) · Officetel (오피스텔)

Recent contracts18Last 6 completed months
New monthly-rent contracts13
Typical size20.3㎡
Median jeonse deposit₩158,250,000≈ $115,523

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₩945,000≈ $690Median monthly rent · 12 contractsMedian deposit in this group: ₩10,000,000
Deposit range · ₩100,000,000–₩200,000,000Under 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 20.0㎡₩940,000≈ $686Median monthly rent · 13 contracts · Median deposit: ₩10,000,000Median observed size: 20.3㎡

New vs renewal

New contracts15
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.

Feb 2026₩855,000≈ $6246 contracts

Recent signed contracts

These are recently reported signed contracts, not live inventory.

TypeSizeDepositMonthly rentContract date
New20.3㎡₩150,000,000≈ $109,500Jeonse-style · ₩0Jul 31, 2026
New20.3㎡₩10,000,000≈ $7,300₩920,000≈ $672Jul 24, 2026
New20.3㎡₩10,000,000≈ $7,300₩900,000≈ $657Jul 22, 2026
New20.3㎡₩10,000,000≈ $7,300₩950,000≈ $694Jul 11, 2026
New20.3㎡₩10,000,000≈ $7,300₩950,000≈ $694Jun 29, 2026
New20.3㎡₩10,000,000≈ $7,300₩890,000≈ $650Jun 20, 2026
New20.3㎡₩20,000,000≈ $14,600₩900,000≈ $657May 13, 2026
New20.3㎡₩10,000,000≈ $7,300₩950,000≈ $694May 5, 2026
New20.3㎡₩10,000,000≈ $7,300₩950,000≈ $694Apr 28, 2026
New19.4㎡₩10,000,000≈ $7,300₩900,000≈ $657Apr 25, 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.