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Seoul → Gangdong-gu (강동구) → Seongnae-dong (성내동) → 강동좋은집2
BUILDING TRANSACTION DATA

강동좋은집2

Gangdong-gu (강동구) · Seongnae-dong (성내동) · Villa / low-rise multifamily (연립·다세대)

Recent contracts8Last 6 completed months
New monthly-rent contracts3
Typical size27.8㎡
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 · ₩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 25.0㎡Under 5 contractsPrices and medians are hidden until at least 5 contracts are observed.
Around 45.0㎡Under 5 contractsPrices and medians are hidden until at least 5 contracts are observed.

New vs renewal

New contracts3
Renewals5
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
New46.6㎡₩200,000,000≈ $146,000₩750,000≈ $548Jun 24, 2026
New25.6㎡₩170,000,000≈ $124,100₩300,000≈ $219May 13, 2026
Renewal29.3㎡₩150,000,000≈ $109,500₩650,000≈ $475Apr 25, 2026
Renewal26.2㎡₩50,000,000≈ $36,500₩670,000≈ $489Mar 26, 2026
Renewal29.7㎡₩200,000,000≈ $146,000₩400,000≈ $292Mar 4, 2026
New25.6㎡₩190,000,000≈ $138,700₩200,000≈ $146Mar 4, 2026
Renewal29.3㎡₩150,000,000≈ $109,500₩650,000≈ $475Feb 27, 2026
Renewal25.6㎡₩150,000,000≈ $109,500₩380,000≈ $277Feb 5, 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.