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 3
|
RM940,000
|
RM309
|
3,040 sqft
|
|
Semi-D |
| 2023 | |||||
|
Jalan Villa Putra 3
|
RM1,100,000
|
RM362
|
3,040 sqft
|
|
Semi-D |
| 2022 | |||||
|
Jalan Villa Putra 4
|
RM1,280,000
|
RM421
|
3,040 sqft
|
|
Semi-D |
Selling in Taman Villa Putra? Homes here sold for a median of RM1,100,000.
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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
ResidentialRM1,100,000
RM362 psfMedian transaction price
Taman Villa Putra, 47000 Sungai Buloh, Selangor, Malaysia
MapsTaman Villa Putra in Gombak, Selangor recorded 3 subsale transactions between 2021 and 2026, sized between 3,025 and 3,074 sqft, with a median price of RM1.10 million and a median price per square foot (PSF) of RM362.
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 RM1.10 million, with most transactions falling within a stable range of RM961K to RM1.24 million, and a typical market range of RM985K to RM1.22 million.
Most transactions involved 2 - 2 1/2 storey semi-detached, with minimal variety in property types.
The median PSF stands at RM362, with core pricing between RM316 and RM408. Market pricing typically extends from RM323.85 to RM399.85, reflecting moderate variation in unit pricing. With an IQR of RM76.00 and MAD of RM46, 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.