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Seoul → Gangdong-gu (강동구) → 길동 → 영무 엘리아트 오피스텔
BUILDING TRANSACTION DATA

영무 엘리아트 오피스텔

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

Recent contracts18Last 6 completed months
New monthly-rent contracts15
Typical size25.6㎡
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 · ₩10,000,000–₩30,000,000₩950,000≈ $713Median monthly rent · 15 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 20.0㎡₩750,000≈ $563Median monthly rent · 6 contracts · Median deposit: ₩10,000,000Median observed size: 19.3㎡
Around 25.0㎡₩1,000,000≈ $750Median monthly rent · 9 contracts · Median deposit: ₩10,000,000Median observed size: 25.6㎡

New vs renewal

New contracts17
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.

Not enough monthly observations to show a trend.

Recent signed contracts

These are recently reported signed contracts, not live inventory.

TypeSizeDepositMonthly rentContract date
Renewal25.6㎡₩10,000,000≈ $7,500₩1,020,000≈ $765Sep 19, 2026
New25.6㎡₩250,000,000≈ $187,500Jeonse-style · ₩0Sep 17, 2026
New19.3㎡₩10,000,000≈ $7,500₩750,000≈ $563Sep 7, 2026
New19.3㎡₩10,000,000≈ $7,500₩750,000≈ $563Aug 25, 2026
New25.6㎡₩10,000,000≈ $7,500₩1,000,000≈ $750Aug 24, 2026
New25.6㎡₩250,000,000≈ $187,500Jeonse-style · ₩0Aug 15, 2026
New25.6㎡₩10,000,000≈ $7,500₩1,000,000≈ $750Aug 12, 2026
New25.6㎡₩10,000,000≈ $7,500₩950,000≈ $713Aug 7, 2026
New25.6㎡₩10,000,000≈ $7,500₩1,000,000≈ $750Jul 23, 2026
New25.6㎡₩10,000,000≈ $7,500₩1,050,000≈ $788Jul 20, 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.