| Road | Price | PSF | Size | Date | Type |
|---|
Selling in Masalam Com. Centre? Homes here sold for a median of RM288,000.
Free to list, about two minutes, and the buyers reading this page will see it.
New Launches in Selangor
View all
Posts about Masalam Com. Centre
No posts about Masalam Com. Centre yet. Be the first to share what’s happening here.
Nearby areas in Pekan Chempaka
Dataran Prima
Masalam Com. Centre
Aman Suria Damansara
Kampung Cempaka
Mutiara Oriental
Damansara Idaman
Damansara Lagenda
Vista Subang - Ara Damansara
Taman Bukit Mayang Mas
SS 25, Petaling Jaya
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Pekan Chempaka
Property News
More property news →
Market Snapshot
CommercialRM288,000
RM231 psfMedian transaction price
E9/E, Plaza Masalam, Jalan Tengku Ampuan Zabedah A 9/A, Section 9, 40100 Shah Alam, Selangor, Malaysia
MapsMasalam Com. Centre in Petaling, Selangor recorded 1 subsale transactions between 2021 and 2026, sized between 1,225 and 1,274 sqft, with a median price of RM288K and a median price per square foot (PSF) of RM231.
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, with moderate diversity in property types available.
For price per square foot, the median is RM231, with most transactions between RM231 and RM231. The usual range is RM135.25 to RM326.75, showing that most units are priced quite close to each other. With an IQR of RM191.50 and MAD of RM0, the PSF demonstrates reasonable consistency across the market.
While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.