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

드림하우스

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

Recent contracts12Last 6 completed months
New monthly-rent contracts5
Typical size18.1㎡
Median jeonse deposit₩150,000,000≈ $112,500

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–₩30,000,000Under 5 contractsPrices are hidden until at least 5 contracts are observed.
Deposit range · ₩100,000,000–₩200,000,000Under 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㎡₩100,000≈ $75Median monthly rent · 5 contracts · Median deposit: ₩146,000,000Median observed size: 18.1㎡

New vs renewal

New contracts8
Renewals4
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
Renewal18.1㎡₩147,000,000≈ $110,250Jeonse-style · ₩0Sep 28, 2026
Renewal18.0㎡₩154,000,000≈ $115,500Jeonse-style · ₩0Sep 10, 2026
New18.0㎡₩137,000,000≈ $102,750₩150,000≈ $113Aug 13, 2026
New18.1㎡₩145,000,000≈ $108,750Jeonse-style · ₩0Aug 12, 2026
New18.0㎡₩150,000,000≈ $112,500₩50,000≈ $38Aug 10, 2026
New18.0㎡₩160,000,000≈ $120,000Jeonse-style · ₩0Aug 10, 2026
New18.1㎡₩146,000,000≈ $109,500₩100,000≈ $75Jul 13, 2026
New18.1㎡₩155,000,000≈ $116,250₩80,000≈ $60Jun 29, 2026
Renewal18.0㎡₩90,000,000≈ $67,500₩350,000≈ $263Jun 5, 2026
Renewal18.1㎡₩148,000,000≈ $111,000₩90,000≈ $68Apr 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.