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Seoul → Gwangjin-gu → 화양동 → (35-46)
BUILDING TRANSACTION DATA

(35-46)

Gwangjin-gu · 화양동 · Villa / Low-rise (연립·다세대)

Recent contracts5Last 6 completed months
New monthly-rent contracts5
Typical size23.2㎡
Median jeonse deposit$0≈ ₩0

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$378≈ ₩525,000Median monthly rent · 4 contractsMedian deposit in this group: ₩5,000,000
Deposit range · ₩10,000,000–₩30,000,000$540≈ ₩750,000Median monthly rent · 1 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 15.0㎡1 contracts< ₩10,000,000 deposit → rent ₩660,000Median observed size: 15.0㎡
Around 20.0㎡1 contracts< ₩10,000,000 deposit → rent ₩550,000Median observed size: 18.9㎡
Around 25.0㎡1 contracts₩10,000,000–₩30,000,000 deposit → rent ₩750,000Median observed size: 23.2㎡
Around 45.0㎡2 contracts< ₩10,000,000 deposit → rent ₩450,000Median observed size: 44.4㎡

New vs renewal

New contracts5
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.

Feb 2026$540≈ ₩750,0001 contracts
Apr 2026$360≈ ₩500,0001 contracts
Jun 2026$475≈ ₩660,0001 contracts
Jul 2026$342≈ ₩475,0002 contracts

Recent signed contracts

These are recently reported signed contracts, not live inventory.

TypeSizeDepositMonthly rentContract date
New44.4㎡$3,600≈ ₩5,000,000$288≈ ₩400,000Jul 29, 2026
New18.9㎡$3,600≈ ₩5,000,000$396≈ ₩550,000Jul 18, 2026
New15.0㎡$3,600≈ ₩5,000,000$475≈ ₩660,000Jun 24, 2026
New44.4㎡$3,600≈ ₩5,000,000$360≈ ₩500,000Apr 28, 2026
New23.2㎡$7,200≈ ₩10,000,000$540≈ ₩750,000Feb 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.