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BUILDING TRANSACTION DATA

리치A110

· 화곡동 · Officetel (오피스텔)

Recent contracts26Last 6 completed months
New monthly-rent contracts23
Typical size31.0㎡
Median jeonse deposit₩230,000,000≈ $172,500

Monthly rent by deposit

Monthly rent is compared within the same deposit range. New contracts are preferred when enough are identified.

Deposit range · ₩200,000,000–₩400,000,000₩200,000≈ $150Median monthly rent · 23 contractsMedian deposit in this group: ₩200,000,000

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 25.0㎡₩150,000≈ $113Median monthly rent · 11 contracts · Median deposit: ₩216,000,000Median observed size: 22.9㎡
Around 30.0㎡₩200,000≈ $150Median monthly rent · 12 contracts · Median deposit: ₩200,000,000Median observed size: 31.2㎡

New vs renewal

New contracts26
Renewals0
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.

Jul 2026₩200,000≈ $1507 contracts
Aug 2026₩200,000≈ $1507 contracts
Sep 2026₩150,000≈ $1137 contracts

Recent signed contracts

These are recently reported signed contracts, not live inventory.

TypeSizeDepositMonthly rentContract date
New31.0㎡₩200,000,000≈ $150,000₩250,000≈ $188Sep 30, 2026
New22.9㎡₩216,000,000≈ $162,000₩150,000≈ $113Sep 28, 2026
New31.2㎡₩200,000,000≈ $150,000₩200,000≈ $150Sep 23, 2026
New22.9㎡₩200,000,000≈ $150,000₩250,000≈ $188Sep 19, 2026
New31.2㎡₩230,000,000≈ $172,500Jeonse-style · ₩0Sep 19, 2026
New22.9㎡₩216,000,000≈ $162,000₩150,000≈ $113Sep 18, 2026
New22.9㎡₩216,000,000≈ $162,000₩150,000≈ $113Sep 7, 2026
New31.0㎡₩230,000,000≈ $172,500Jeonse-style · ₩0Sep 4, 2026
New22.9㎡₩216,000,000≈ $162,000₩150,000≈ $113Sep 1, 2026
New31.2㎡₩230,000,000≈ $172,500Jeonse-style · ₩0Aug 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.