Taman Villamas
Villamas, 47000 Sungai Buloh, Selangor, Malaysia
Villamas, 47000 Sungai Buloh, Selangor, Malaysia
| Price | PSF | Size | Date | Type |
|---|
|
RM1,450,000
|
RM684
|
2,120 sqft
|
|
|
|
RM925,000
|
RM436
|
2,120 sqft
|
|
|
|
RM1,250,000
|
RM589
|
2,120 sqft
|
|
|
|
RM900,000
|
RM424
|
2,120 sqft
|
|
|
|
RM930,000
|
RM439
|
2,120 sqft
|
|
|
|
RM1,060,000
|
RM500
|
2,120 sqft
|
|
|
RM938,000
|
RM442
|
2,120 sqft
|
|
|
|
RM950,000
|
RM448
|
2,120 sqft
|
|
Selling in Taman Villamas? Homes here sold for a median of RM930,000.
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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 Bandar Sungai Buloh
Market Snapshot
ResidentialRM930,000
RM419 psfMedian transaction price
Villamas, 47000 Sungai Buloh, Selangor, Malaysia
MapsTaman Villamas in Gombak, Selangor recorded 11 subsale transactions between 2021 and 2026, with a median price of RM930K and a median price per square foot (PSF) of RM439.
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 RM930K, with most transactions falling within a stable range of RM800K to RM1.06 million, and a typical market range of RM790K to RM1.07 million.
Most transactions involved 2 - 2 1/2 storey terraced, though some variety exists in the market.
For price per square foot, the median is RM439, with most transactions between RM421 and RM457. The usual range is RM418.33 to RM458.83, showing that most units are priced quite close to each other. A typical spread (IQR) of RM40.50 and an average deviation (MAD) of RM18 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.