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BUILDING TRANSACTION DATA

목동 굿모닝탑

· 목동 · Officetel (오피스텔)

Recent contracts13Last 6 completed months
New monthly-rent contracts2
Typical size113.0㎡
Median jeonse deposit₩1,014,500,000≈ $760,875

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 · ₩400,000,000+₩1,450,000≈ $1,088Median monthly rent · 8 contractsMedian deposit in this group: ₩665,000,000

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 115.0㎡₩1,500,000≈ $1,125Median monthly rent · 9 contracts · Median deposit: ₩630,000,000Median observed size: 113.0㎡

New vs renewal

New contracts5
Renewals7
Not specified1

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
Renewal113.0㎡₩630,000,000≈ $472,500₩2,000,000≈ $1,500Sep 16, 2026
Renewal113.0㎡₩850,000,000≈ $637,500₩1,200,000≈ $900Sep 5, 2026
Renewal113.0㎡₩1,029,000,000≈ $771,750Jeonse-style · ₩0Jul 23, 2026
Renewal113.0㎡₩850,000,000≈ $637,500₩780,000≈ $585Jun 22, 2026
New113.0㎡₩500,000,000≈ $375,000₩2,200,000≈ $1,650Jun 9, 2026
Renewal113.0㎡₩700,000,000≈ $525,000₩970,000≈ $728May 28, 2026
New113.0㎡₩1,050,000,000≈ $787,500Jeonse-style · ₩0May 16, 2026
Renewal113.0㎡₩600,000,000≈ $450,000₩1,500,000≈ $1,125May 13, 2026
New113.0㎡₩1,000,000,000≈ $750,000Jeonse-style · ₩0May 6, 2026
New113.0㎡₩700,000,000≈ $525,000₩1,400,000≈ $1,050Apr 22, 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.