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Seoul → Gangdong-gu (강동구) → 강일동 → 유러피안하우스I
BUILDING TRANSACTION DATA

유러피안하우스I

Gangdong-gu (강동구) · 강일동 · Officetel (오피스텔)

Recent contracts14Last 6 completed months
New monthly-rent contracts13
Typical size13.4㎡
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₩470,000≈ $343Median monthly rent · 13 contractsMedian deposit in this group: ₩5,000,000

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㎡₩470,000≈ $343Median monthly rent · 11 contracts · Median deposit: ₩5,000,000Median observed size: 13.4㎡
Around 20.0㎡Under 5 contractsPrices and medians are hidden until at least 5 contracts are observed.

New vs renewal

New contracts13
Renewals1
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₩480,000≈ $3506 contracts

Recent signed contracts

These are recently reported signed contracts, not live inventory.

TypeSizeDepositMonthly rentContract date
New13.4㎡₩5,000,000≈ $3,650₩470,000≈ $343Jul 15, 2026
New13.4㎡₩5,000,000≈ $3,650₩450,000≈ $329Jun 26, 2026
New13.4㎡₩5,000,000≈ $3,650₩500,000≈ $365Jun 11, 2026
New18.4㎡₩5,000,000≈ $3,650₩500,000≈ $365May 15, 2026
New13.4㎡₩5,000,000≈ $3,650₩500,000≈ $365May 11, 2026
New12.0㎡₩5,000,000≈ $3,650₩450,000≈ $329Apr 14, 2026
New13.4㎡₩5,000,000≈ $3,650₩420,000≈ $307Apr 11, 2026
New13.4㎡₩5,000,000≈ $3,650₩500,000≈ $365Apr 1, 2026
Renewal15.4㎡₩5,000,000≈ $3,650₩500,000≈ $365Feb 28, 2026
New13.4㎡₩5,000,000≈ $3,650₩550,000≈ $402Feb 26, 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.