Taman Wangsa Baiduri
6, Persiaran Wangsa Baiduri 1, Taman Wangsa Baiduri, 47500 Subang Jaya, Selangor, Malaysia
6, Persiaran Wangsa Baiduri 1, Taman Wangsa Baiduri, 47500 Subang Jaya, Selangor, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Persiaran Wangsa Baiduri 3
|
RM 750,000
|
RM 501
|
1,496 sqft
|
|
|
|
Persiaran Wangsa Baiduri 6
|
RM 680,000
|
RM 454
|
1,496 sqft
|
|
|
Persiaran Wangsa Baiduri 8
|
RM 850,000
|
RM 516
|
1,647 sqft
|
|
|
Persiaran Wangsa Baiduri 1
|
RM 848,000
|
RM 480
|
1,765 sqft
|
|
|
|
Persiaran Wangsa Baiduri 2
|
RM 750,000
|
RM 425
|
1,765 sqft
|
|
|
|
Persiaran Wangsa Baiduri
|
RM 950,000
|
RM 538
|
1,765 sqft
|
|
|
|
Persiaran Wangsa Baiduri 2
|
RM 850,000
|
RM 482
|
1,765 sqft
|
|
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Market Snapshot
ResidentialRM 848,000
RM 482 psfMedian transaction price
6, Persiaran Wangsa Baiduri 1, Taman Wangsa Baiduri, 47500 Subang Jaya, Selangor, Malaysia
MapsTaman Wangsa Baiduri in Petaling, Selangor recorded 7 subsale transactions in 2024, with a median price of RM 848K and a median price per square foot (PSF) of RM 482.
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 RM 848K, with most transactions falling within a stable range of RM 765K to RM 931K, and a typical market range of RM 798K to RM 898K.
Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.
For price per square foot, the median is RM 482, with most transactions between RM 446 and RM 517. The usual range is RM 441.76 to RM 521.26, showing that most units are priced quite close to each other. With an IQR of RM 79.50 and MAD of RM 35, 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.