Selling in Taman Pinggiran Mahkota (Cheras)? Homes here sold for a median of RM650,000.
Free to list, about two minutes, and the buyers reading this page will see it.
New Launches in Selangor
View all
Posts about Taman Pinggiran Mahkota (Cheras)
No posts about Taman Pinggiran Mahkota (Cheras) yet. Be the first to share what’s happening here.
Nearby areas in Cheras
Bandar Mahkota Cheras
Bandar Damai Perdana
Bandar Sungai Long
Taman Segar Perdana
Twin Palm
Taman Cheras Jaya
Bandar Tun Hussein Onn
Taman Megah (Cheras)
Garden Park
Taman Bkt Sungai Long
Cloudtree Residence
Palm Walk , Bandar Sungai Long
Taman Pinggiran Mahkota (Cheras)
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 Cheras
Market Snapshot
ResidentialRM650,000
RM428 psfMedian transaction price
Jalan Taman Pinggiran, 43000 Kajang, Selangor, Malaysia
MapsTaman Pinggiran Mahkota (Cheras) in Hulu Langat, Selangor recorded 1 subsale transactions between 2021 and 2026, sized between 1,475 and 1,524 sqft, with a median price of RM650K and a median price per square foot (PSF) of RM428.
This area consists exclusively of residential properties, with no commercial listings recorded.
Price remained flat, and PSF growth was PSF remained flat.
Most transactions involved 2 - 2 1/2 storey semi-detached, though some variety exists in the market.
For price per square foot, the median is RM428, with most transactions between RM428 and RM428. The usual range is RM328.28 to RM528.28, showing that most units are priced quite close to each other. With an IQR of RM200.00 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.