Wangsa 118

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

Property Transactions

4 subsales found

Median
RM2,604,500
PSF
RM606

Property Type

Price Size
Period
transactions middle 50% (P25–P75)
RM2,609,000
Level 12
4,295 sqft RM607 PSF
RM2,600,000
Level 9
4,295 sqft RM605 PSF
RM2,615,000
Level 14
4,295 sqft RM609 PSF
RM2,213,000
Level 10
4,295 sqft RM515 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM2,604,500

RM606 psf

Median transaction price

Average

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Gross yield, median rent and sale psf — worked out from transacted prices and asking rents.

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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 4 subsale transactions between 2021 and 2026, sized between 4,275 and 4,324 sqft, with a median price of RM2.60 million and a median price per square foot (PSF) of RM606.

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

Price remained flat, and PSF growth was PSF remained flat. The median price is RM2.60 million, with most transactions falling within a stable range of RM2.43 million to RM2.62 million, and a typical market range of RM2.52 million to RM2.62 million.

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

For price per square foot, the median is RM606, with most transactions between RM567 and RM646. The usual range is RM544.31 to RM668.56, showing that most units are priced quite close to each other. With an IQR of RM124.25 and MAD of RM40, 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.