| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong Temenggung 18D
|
RM400,000
|
RM483
|
829 sqft
|
|
|
|
Lorong Temenggung 19
|
RM350,000
|
RM422
|
829 sqft
|
|
|
|
Lorong Temenggung 18D
|
RM275,000
|
RM332
|
829 sqft
|
|
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Taman Sentosa Perdana
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 Kelang
Market Snapshot
ResidentialRM350,000
RM422 psfMedian transaction price
Does TAMAN SENTOSA 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 Sentosa Perdana, 41000 Klang, Selangor, Malaysia
MapsTaman Sentosa Perdana in Klang, Selangor recorded 3 Low-Cost House properties subsale transactions between 2021 and 2026, with a median price of RM350K and a median price per square foot (PSF) of RM422.
This area contains both residential and commercial properties. View 56 residential properties or 8 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM350K, with most transactions falling within a stable range of RM299K to RM400K, and a typical market range of RM275K to RM400K.
Within the Low-Cost House category, 2 - 2 1/2 storey terraced dominated the market, with high diversity across multiple property types.
The median PSF stands at RM422, with core pricing between RM360 and RM484. Market pricing typically extends from RM338.42 to RM506.17, reflecting moderate variation in unit pricing. With an IQR of RM167.75 and MAD of RM62, 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.