Prima SP Baiduri (SP 1)
7, Persiaran Cempaka, Bandar 1, Jalan Cempaka 1, Bandar Amanjaya, 08000 Sungai Petani, Kedah, Malaysia
7, Persiaran Cempaka, Bandar 1, Jalan Cempaka 1, Bandar Amanjaya, 08000 Sungai Petani, Kedah, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Prima 11
|
RM 370,000
|
RM 164
|
2,250 sqft
|
|
|
|
Jalan Prima 19
|
RM 309,000
|
RM 137
|
2,250 sqft
|
|
|
|
Jalan Prima 19
|
RM 340,000
|
RM 151
|
2,250 sqft
|
|
|
|
Jalan Prima 8
|
RM 309,000
|
RM 137
|
2,250 sqft
|
|
|
Jalan Prima 10
|
RM 370,000
|
RM 143
|
2,583 sqft
|
|
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Market Snapshot
ResidentialRM 340,000
RM 143 psfMedian transaction price
7, Persiaran Cempaka, Bandar 1, Jalan Cempaka 1, Bandar Amanjaya, 08000 Sungai Petani, Kedah, Malaysia
MapsPrima SP Baiduri (SP 1) in Kuala Muda, Kedah recorded 5 Double Storey Semi-D properties subsale transactions between 2021 and 2026, with a median price of RM 340K and a median price per square foot (PSF) of RM 143.
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 340K, with most transactions falling within a stable range of RM 313K to RM 367K, and a typical market range of RM 309K to RM 370K.
Within the Double Storey Semi-D category, 1 - 1 1/2 storey terraced dominated the market, with high diversity across multiple property types.
For price per square foot, the median is RM 143, with most transactions between RM 133 and RM 153. The usual range is RM 123.73 to RM 162.73, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 39.00 and an average deviation (MAD) of RM 10 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. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.