Pangsapuri Seri Proton
Taman Kandis Permai, 41000 Klang, Selangor, Malaysia
Taman Kandis Permai, 41000 Klang, Selangor, Malaysia
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Selling in Pangsapuri Seri Proton? Homes here sold for a median of RM210,000.
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Pangsapuri Seri Proton
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
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
ResidentialRM210,000
RM288 psfMedian transaction price
Does PANGSAPURI SERI PROTON 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
Pangsapuri Seri Proton, Taman Kandis Permai, 41000 Klang, Selangor, Malaysia
MapsPangsapuri Seri Proton in Klang, Selangor recorded 2 subsale transactions in 2024, with a median price of RM210K and a median price per square foot (PSF) of RM288.
This area consists exclusively of residential properties, with no commercial listings recorded.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM210K, with most transactions falling within a stable range of RM180K to RM240K, and a typical market range of RM200K to RM220K.
Most transactions involved condominium/apartment, with minimal variety in property types.
For price per square foot, the median is RM288, with most transactions between RM261 and RM314. The usual range is RM275.79 to RM299.54, showing that most units are priced quite close to each other. A typical spread (IQR) of RM23.75 and an average deviation (MAD) of RM26 indicate a highly stable PSF trend across properties.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.