Taman Villa Putra
47000 Sungai Buloh, Selangor, Malaysia
47000 Sungai Buloh, Selangor, Malaysia
| LIST.MY · Taman Villa Putra | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Jalan Villa Putra 4
|
RM1,080,000
|
RM333
|
3,241 sqft
|
|
Semi-D |
|
Jalan Villa Putra 3
|
RM1,050,000
|
RM324
|
3,241 sqft
|
|
Semi-D |
|
Jalan Villa Putra 2
|
RM1,300,000
|
RM318
|
4,085 sqft
|
|
Semi-D |
|
Jalan Villa Putra 3
|
RM940,000
|
RM309
|
3,040 sqft
|
|
Semi-D |
Selling in Taman Villa Putra? Homes here sold for a median of RM1,065,000.
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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 Pekan Sungai Buloh
Market Snapshot
ResidentialRM1,065,000
RM321 psfMedian transaction price
Taman Villa Putra, 47000 Sungai Buloh, Selangor, Malaysia
MapsTaman Villa Putra in Gombak, Selangor recorded 4 subsale transactions in 2024, with a median price of RM1.07 million and a median price per square foot (PSF) of RM321.
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 RM1.07 million, with most transactions falling within a stable range of RM940K to RM1.20 million, and a typical market range of RM950K to RM1.18 million.
Most transactions involved 2 - 2 1/2 storey semi-detached, with minimal variety in property types.
For price per square foot, the median is RM321, with most transactions between RM312 and RM330. The usual range is RM283.07 to RM359.07, showing that most units are priced quite close to each other. With an IQR of RM76.00 and MAD of RM9, the PSF demonstrates reasonable consistency across the market.
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.