Diamond Square

Lorong Penghulu, Gombak Setia, 53100 Kuala Lumpur, Selangor, Malaysia

Property Transactions

2 subsales found

Median
RM615,000
PSF
RM486
Price Size
Period
transactions middle 50% (P25–P75)
RM350,000
Level 5
1,249 sqft RM280 PSF
RM880,000
Level G
1,270 sqft RM693 PSF
Legend Recent Highest Price Highest PSF

Selling in Diamond Square? Homes here sold for a median of RM615,000.

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

List your property free

Posts about Diamond Square

What’s happening in Diamond Square?

No posts about Diamond Square yet. Be the first to share what’s happening here.

Market Snapshot

Commercial

RM615,000

RM486 psf

Median transaction price

Diamond Square
© OpenStreetMap · CARTO

Lorong Penghulu, Gombak Setia, 53100 Kuala Lumpur, Selangor, Malaysia

Maps

Diamond Square in Kuala Lumpur, Kuala Lumpur recorded 2 subsale transactions between 2021 and 2026, sized between 1,225 and 1,274 sqft, with a median price of RM615K and a median price per square foot (PSF) of RM486.

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 RM615K, with most transactions falling within a stable range of RM350K to RM880K, and a typical market range of RM573K to RM658K.

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

Price per square foot shows a median of RM486, though individual units vary from RM280 to RM693 in the core range. The broader market spans RM445.67 to RM527.17, indicating diverse property characteristics. A wider spread (IQR: RM81.50) and deviation (MAD: RM206) indicate significant PSF variations, likely due to diverse property types or conditions.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.