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BUILDING TRANSACTION DATA

하나세인스톤3차

· 구로동 · Officetel (오피스텔)

Recent contracts13Last 6 completed months
New monthly-rent contracts11
Typical size25.7㎡
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 · < ₩10,000,000Under 5 contractsPrices are hidden until at least 5 contracts are observed.
Deposit range · ₩10,000,000–₩30,000,000Under 5 contractsPrices are hidden until at least 5 contracts are observed.
Deposit range · ₩100,000,000–₩200,000,000₩250,000≈ $183Median monthly rent · 7 contractsMedian deposit in this group: ₩120,000,000

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㎡₩250,000≈ $183Median monthly rent · 11 contracts · Median deposit: ₩120,000,000Median observed size: 25.7㎡

New vs renewal

New contracts11
Renewals2
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.

Apr 2026₩275,000≈ $2016 contracts

Recent signed contracts

These are recently reported signed contracts, not live inventory.

TypeSizeDepositMonthly rentContract date
Renewal25.7㎡₩20,000,000≈ $14,600₩600,000≈ $438May 29, 2026
New25.7㎡₩118,000,000≈ $86,140₩290,000≈ $212May 19, 2026
New25.7㎡₩5,000,000≈ $3,650₩600,000≈ $438May 15, 2026
New25.7㎡₩120,000,000≈ $87,600₩250,000≈ $183Apr 29, 2026
New25.7㎡₩120,000,000≈ $87,600₩250,000≈ $183Apr 29, 2026
New25.7㎡₩120,000,000≈ $87,600₩250,000≈ $183Apr 20, 2026
New25.7㎡₩10,000,000≈ $7,300₩650,000≈ $475Apr 18, 2026
Renewal25.7㎡₩100,000,000≈ $73,000₩300,000≈ $219Apr 8, 2026
New25.7㎡₩10,000,000≈ $7,300₩630,000≈ $460Apr 6, 2026
New25.7㎡₩120,000,000≈ $87,600₩250,000≈ $183Mar 28, 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.