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BUILDING TRANSACTION DATA

선릉역 롯데골드로즈오피스텔

Gangnam-gu · Daechi-dong · Officetel

Recent contracts9Last 6 completed months
New monthly-rent contracts4
Typical size32.0㎡
Median jeonse deposit$146,700≈ ₩203,750,000

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$770≈ ₩1,070,000Median monthly rent · 1 contractsMedian deposit in this group: ₩10,000,000
Deposit range · ₩100,000,000–₩200,000,000$144≈ ₩200,000Median monthly rent · 3 contractsMedian deposit in this group: ₩198,000,000

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 30.0㎡4 contracts₩100,000,000–₩200,000,000 deposit → rent ₩200,000Median observed size: 32.0㎡

New vs renewal

New contracts6
Renewals3
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$144≈ ₩200,0001 contracts
Mar 2026$144≈ ₩200,0001 contracts
Jun 2026$439≈ ₩610,0002 contracts
Jul 2026$144≈ ₩200,0001 contracts

Recent signed contracts

These are recently reported signed contracts, not live inventory.

TypeSizeDepositMonthly rentContract date
New32.0㎡$142,560≈ ₩198,000,000$144≈ ₩200,000Jul 13, 2026
New32.0㎡$7,200≈ ₩10,000,000$770≈ ₩1,070,000Jun 24, 2026
New32.0㎡$142,560≈ ₩198,000,000$108≈ ₩150,000Jun 5, 2026
New33.8㎡$145,800≈ ₩202,500,000Jeonse-style · ₩0May 11, 2026
New32.0㎡$136,800≈ ₩190,000,000$144≈ ₩200,000Mar 4, 2026
Renewal32.0㎡$151,200≈ ₩210,000,000Jeonse-style · ₩0Feb 28, 2026
New32.0㎡$142,560≈ ₩198,000,000Jeonse-style · ₩0Feb 21, 2026
Renewal32.0㎡$147,600≈ ₩205,000,000Jeonse-style · ₩0Feb 20, 2026
Renewal32.0㎡$142,560≈ ₩198,000,000$144≈ ₩200,000Feb 7, 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.