| Price | PSF | Size | Date | Type |
|---|
|
RM640,000
|
RM396
|
1,615 sqft
|
|
2-Sty Terrace |
|
RM642,000
|
RM324
|
1,980 sqft
|
|
Terrace |
|
RM619,000
|
RM363
|
1,704 sqft
|
|
Terrace |
|
RM629,000
|
RM390
|
1,615 sqft
|
|
2-Sty Terrace |
|
RM642,000
|
RM324
|
1,980 sqft
|
|
Terrace |
|
RM629,000
|
RM390
|
1,615 sqft
|
|
2-Sty Terrace |
|
RM480,000
|
RM335
|
1,434 sqft
|
|
|
|
RM480,000
|
RM335
|
1,434 sqft
|
|
Selling in Residensi Sungai Purun? Homes here sold for a median of RM629,000.
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Residensi Sungai Purun
Marketplace listings
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 Semenyih
Market Snapshot
ResidentialRM629,000
RM349 psfMedian transaction price
31, 43500 Semenyih, Selangor, Malaysia
MapsResidensi Sungai Purun in Hulu Langat, Selangor recorded 18 subsale transactions between 2021 and 2026, with a median price of RM629K and a median price per square foot (PSF) of RM359.
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 RM629K, with most transactions falling within a stable range of RM622K to RM636K, and a typical market range of RM622K to RM636K.
Most transactions involved 1 - 1 1/2 storey terraced, though some variety exists in the market.
For price per square foot, the median is RM359, with most transactions between RM353 and RM366. The usual range is RM353.47 to RM364.72, showing that most units are priced quite close to each other. A typical spread (IQR) of RM11.25 and an average deviation (MAD) of RM7 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.