Wangsa 118

Jalan Wangsa Delima, Wangsa Maju, 53300 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Property Transactions

1 subsales grouped by size

Median
RM2,609,000
PSF
RM607

Property Type

Price Size
Period
transactions middle 50% (P25–P75)
4,300 sqft
Office
RM2,609,000
Level 12
4,295 sqft · RM607 PSF
Legend Recent Highest Price Highest PSF

Selling in Wangsa 118? Homes here sold for a median of RM2,609,000.

Free to list, about two minutes, and the buyers reading this page will see it.

List your property free

Posts about Wangsa 118

What’s happening in Wangsa 118?

No posts about Wangsa 118 yet. Be the first to share what’s happening here.

Market Snapshot

Commercial

RM2,609,000

RM607 psf

Median transaction price

Average

Know your return before you buy

See the gross rental yield for WANGSA 118 and compare before you put down a deposit.

Get Plus

RM59 a month, cancel any time

Wangsa 118
© OpenStreetMap · CARTO

Jalan Wangsa Delima, Wangsa Maju, 53300 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Wangsa 118 in Kuala Lumpur, Kuala Lumpur recorded 1 subsale transactions in 2025, with a median price of RM2.61 million and a median price per square foot (PSF) of RM607.

This area consists exclusively of commercial properties, with no residential listings recorded.

Price remained flat, and PSF growth was PSF remained flat.

Most transactions involved office lot, though some variety exists in the market.

For price per square foot, the median is RM607, with most transactions between RM607 and RM607. The usual range is RM545.36 to RM669.61, showing that most units are priced quite close to each other. With an IQR of RM124.25 and MAD of RM0, the PSF demonstrates reasonable consistency across the market.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.