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Seoul → Gangdong-gu (강동구) → Cheonho-dong (천호동) → 더하임
BUILDING TRANSACTION DATA

더하임

Gangdong-gu (강동구) · Cheonho-dong (천호동) · Officetel (오피스텔)

Recent contracts7Last 6 completed months
New monthly-rent contracts7
Typical size17.3㎡
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 · ₩30,000,000–₩50,000,000Under 5 contractsPrices are hidden until at least 5 contracts are observed.
Deposit range · ₩50,000,000–₩100,000,000Under 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㎡₩550,000≈ $402Median monthly rent · 6 contracts · Median deposit: ₩40,000,000Median observed size: 17.3㎡
Around 25.0㎡Under 5 contractsPrices and medians are hidden until at least 5 contracts are observed.

New vs renewal

New contracts7
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
New17.3㎡₩50,000,000≈ $36,500₩400,000≈ $292Jul 20, 2026
New17.3㎡₩30,000,000≈ $21,900₩600,000≈ $438Jun 20, 2026
New17.3㎡₩50,000,000≈ $36,500₩500,000≈ $365May 16, 2026
New17.3㎡₩30,000,000≈ $21,900₩600,000≈ $438May 1, 2026
New17.3㎡₩30,000,000≈ $21,900₩600,000≈ $438May 1, 2026
New17.3㎡₩50,000,000≈ $36,500₩400,000≈ $292Apr 13, 2026
New24.8㎡₩5,000,000≈ $3,650₩400,000≈ $292Mar 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.