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Seoul → Gangnam-gu (강남구) → Dogok-dong (도곡동) → 도곡르비앙
BUILDING TRANSACTION DATA

도곡르비앙

Gangnam-gu (강남구) · Dogok-dong (도곡동) · Villa / low-rise multifamily (연립·다세대)

Recent contracts16Last 6 completed months
New monthly-rent contracts7
Typical size14.7㎡
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 · ₩10,000,000–₩30,000,000₩630,000≈ $460Median monthly rent · 7 contractsMedian deposit in this group: ₩10,000,000

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 10.0㎡Under 5 contractsPrices and medians are hidden until at least 5 contracts are observed.
Around 15.0㎡Under 5 contractsPrices and medians are hidden until at least 5 contracts are observed.

New vs renewal

New contracts7
Renewals9
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.

Feb 2026₩600,000≈ $4385 contracts
Apr 2026₩660,000≈ $4825 contracts

Recent signed contracts

These are recently reported signed contracts, not live inventory.

TypeSizeDepositMonthly rentContract date
Renewal15.0㎡₩10,000,000≈ $7,300₩620,000≈ $453Jul 31, 2026
Renewal19.6㎡₩10,000,000≈ $7,300₩700,000≈ $511Jul 28, 2026
New12.2㎡₩10,000,000≈ $7,300₩610,000≈ $445Jul 15, 2026
Renewal14.1㎡₩10,000,000≈ $7,300₩650,000≈ $475May 13, 2026
New14.4㎡₩10,000,000≈ $7,300₩700,000≈ $511Apr 30, 2026
Renewal15.0㎡₩10,000,000≈ $7,300₩640,000≈ $467Apr 2, 2026
Renewal15.0㎡₩10,000,000≈ $7,300₩600,000≈ $438Apr 2, 2026
Renewal15.0㎡₩10,000,000≈ $7,300₩660,000≈ $482Apr 2, 2026
Renewal17.4㎡₩10,000,000≈ $7,300₩660,000≈ $482Apr 2, 2026
Renewal12.2㎡₩10,000,000≈ $7,300₩610,000≈ $445Mar 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.