New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
Selling in Taman Putra Perdana? Homes here sold for a median of RM130,000.
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Auction Properties
1 auction properties in Taman Putra Perdana
Nearby areas in Dengkil
Taman Putra Perdana
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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 Dengkil
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
New Condo in PJ Damansara
From RM600,000 · 800 sqft
Pet friendly condo. 10mins to 1Utama
Market Snapshot
RM195,000
RM248 psfMedian transaction price
RM130,000
RM186 psfMedian transaction price
Does TAMAN PUTRA PERDANA rent out well?
Gross yield, median rent and sale psf — worked out from transacted prices and asking rents.
See the yield with PlusRM59 a month, cancel any time
Taman Putra Perdana, Puchong, Selangor, Malaysia
MapsTaman Putra Perdana in Sepang, Selangor recorded 1 Office Lot properties subsale transactions between 2021 and 2026, with a median price of RM130K and a median price per square foot (PSF) of RM186.
This area contains both residential and commercial properties. View 577 residential properties or 65 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat.
Within the Office Lot category, flats dominated the market, with high diversity across multiple property types.
For price per square foot, the median is RM186, with most transactions between RM186 and RM186. The usual range is RM142.47 to RM228.97, showing that most units are priced quite close to each other. With an IQR of RM86.50 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.