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Seoul → Gangdong-gu (강동구) → Cheonho-dong (천호동) → (191-22)
BUILDING TRANSACTION DATA

(191-22)

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

Recent contracts8Last 6 completed months
New monthly-rent contracts3
Typical size31.1㎡
Median jeonse deposit₩250,000,000≈ $187,500

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 · ₩200,000,000–₩400,000,000Under 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㎡Under 5 contractsPrices and medians are hidden until at least 5 contracts are observed.
Around 35.0㎡Under 5 contractsPrices and medians are hidden until at least 5 contracts are observed.

New vs renewal

New contracts4
Renewals3
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
Renewal33.7㎡₩285,000,000≈ $213,750₩40,000≈ $30Aug 20, 2026
New21.0㎡₩157,000,000≈ $117,750₩100,000≈ $75Aug 7, 2026
Renewal33.7㎡₩294,000,000≈ $220,500Jeonse-style · ₩0Jul 6, 2026
Not specified28.6㎡₩250,000,000≈ $187,500Jeonse-style · ₩0Jun 2, 2026
New33.6㎡₩275,000,000≈ $206,250₩50,000≈ $38May 16, 2026
New21.0㎡₩157,000,000≈ $117,750₩50,000≈ $38May 14, 2026
New21.0㎡₩169,000,000≈ $126,750Jeonse-style · ₩0May 14, 2026
Renewal33.6㎡₩275,000,000≈ $206,250₩50,000≈ $38May 6, 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.