Taman Cheras Perdana
Lorong CP 6/30, Cheras Perdana, 43200 Cheras, Selangor, Malaysia
Lorong CP 6/30, Cheras Perdana, 43200 Cheras, Selangor, Malaysia
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Nearby areas in Bandar Cheras
Bandar Sungai Long
Bandar Tun Hussein Onn
Taman Cheras Perdana
Silk Residence
Cheras Traders Square
Residensi Netizen
Parkland Residence
Taman Kasturi
Taman Rakan
Taman Megah (Cheras)
Landmark Residence
Kondominium Green Acre, Bandar Sungai Long
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 Bandar Cheras
Market Snapshot
ResidentialRM480,000
RM295 psfMedian transaction price
Lorong CP 6/30, Cheras Perdana, 43200 Cheras, Selangor, Malaysia
MapsTaman Cheras Perdana in Hulu Langat, Selangor recorded 2 subsale transactions between 2021 and 2026, sized between 1,625 and 1,674 sqft, with a median price of RM480K and a median price per square foot (PSF) of RM295.
This area contains both residential and commercial properties. View 120 residential properties or 5 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM480K, with most transactions falling within a stable range of RM450K to RM510K, and a typical market range of RM450K to RM510K.
Most transactions involved low-cost house, with high diversity across multiple property types.
For price per square foot, the median is RM295, with most transactions between RM277 and RM314. The usual range is RM248.82 to RM341.82, showing that most units are priced quite close to each other. With an IQR of RM93.00 and MAD of RM18, 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.