Taman Putra
Taman Sri Putra Mas, 47000 Sungai Buloh, Selangor, Malaysia
Taman Sri Putra Mas, 47000 Sungai Buloh, Selangor, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Taman Putra 3
|
RM599,000
|
RM501
|
1,195 sqft
|
|
|
|
Jalan Taman Putra 3
|
RM599,000
|
RM501
|
1,195 sqft
|
|
|
|
Jalan Taman Putra 3
|
RM588,000
|
RM492
|
1,195 sqft
|
|
|
|
Jalan Taman Putra 3
|
RM599,000
|
RM501
|
1,195 sqft
|
|
|
|
Jalan Taman Putra 3
|
RM599,000
|
RM501
|
1,195 sqft
|
|
|
|
Jalan Taman Putra 3
|
RM672,000
|
RM562
|
1,195 sqft
|
|
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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 Rawang
Market Snapshot
ResidentialRM598,000
RM501 psfMedian transaction price
Taman Sri Putra Mas, 47000 Sungai Buloh, Selangor, Malaysia
MapsTaman Putra in Gombak, Selangor recorded 17 subsale transactions between 2021 and 2026, sized between 1,175 and 1,224 sqft, with a median price of RM598K and a median price per square foot (PSF) of RM501.
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 RM598K, with most transactions falling within a stable range of RM588K to RM618K, and a typical market range of RM588K to RM642K.
Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.
For price per square foot, the median is RM501, with most transactions between RM484 and RM517. The usual range is RM481.76 to RM519.26, showing that most units are priced quite close to each other. A typical spread (IQR) of RM37.50 and an average deviation (MAD) of RM16 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.