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Seoul → Gangnam-gu → Daechi-dong → 대치동우정에쉐르1
BUILDING TRANSACTION DATA

대치동우정에쉐르1

Gangnam-gu · Daechi-dong · Apartment

Recent contracts13Last 6 completed months
New monthly-rent contracts2
Typical size60.0㎡
Median jeonse deposit$396,000≈ ₩550,000,000

Monthly rent by deposit

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

Deposit range · ₩30,000,000–₩50,000,000$1,800≈ ₩2,500,000Median monthly rent · 3 contractsMedian deposit in this group: ₩30,000,000
Deposit range · ₩400,000,000+$58≈ ₩80,000Median monthly rent · 1 contractsMedian deposit in this group: ₩420,000,000

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 60.0㎡4 contracts₩30,000,000–₩50,000,000 deposit → rent ₩2,500,000Median observed size: 60.0㎡

New vs renewal

New contracts9
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.

Feb 2026$1,476≈ ₩2,050,0004 contracts

Recent signed contracts

These are recently reported signed contracts, not live inventory.

TypeSizeDepositMonthly rentContract date
Renewal58.9㎡$367,200≈ ₩510,000,000Jeonse-style · ₩0Jul 6, 2026
Renewal58.9㎡$411,120≈ ₩571,000,000Jeonse-style · ₩0Apr 25, 2026
New79.1㎡$576,000≈ ₩800,000,000Jeonse-style · ₩0Apr 15, 2026
New60.0㎡$396,000≈ ₩550,000,000Jeonse-style · ₩0Apr 1, 2026
New79.1㎡$489,600≈ ₩680,000,000Jeonse-style · ₩0Mar 17, 2026
New60.0㎡$291,722≈ ₩405,170,000Jeonse-style · ₩0Mar 14, 2026
New58.9㎡$468,000≈ ₩650,000,000Jeonse-style · ₩0Feb 27, 2026
New60.0㎡$21,600≈ ₩30,000,000$1,152≈ ₩1,600,000Feb 24, 2026
New58.9㎡$21,600≈ ₩30,000,000$1,800≈ ₩2,500,000Feb 24, 2026
New60.0㎡$396,000≈ ₩550,000,000Jeonse-style · ₩0Feb 24, 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.