| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Seraya Emas 1/2
|
RM 250,000
|
RM 228
|
1,098 sqft
|
|
|
|
Jalan Seraya Emas 1/2
|
RM 180,000
|
RM 164
|
1,098 sqft
|
|
|
|
Jalan Seraya Emas 1/3
|
RM 170,000
|
RM 155
|
1,098 sqft
|
|
|
|
Jalan Seraya Emas 1/2
|
RM 180,000
|
RM 164
|
1,098 sqft
|
|
|
|
Jalan Seraya Emas 1/2
|
RM 190,000
|
RM 173
|
1,098 sqft
|
|
|
|
Jalan Seraya Emas 1/3
|
RM 180,000
|
RM 164
|
1,098 sqft
|
|
|
Jalan Seraya Emas 1/2
|
RM 270,000
|
RM 180
|
1,496 sqft
|
|
|
Jalan Seraya Emas 1/3
|
RM 270,000
|
RM 146
|
1,851 sqft
|
|
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Market Snapshot
ResidentialRM 175,000
RM 155 psfMedian transaction price
TAMAN SERAYA EMAS, Bandar Sungai Petani, Kuala Muda, Kedah, Malaysia
Taman Seraya Emas in Kuala Muda, Kedah recorded 14 Low-Cost House properties subsale transactions between 2021 and 2026, with a median price of RM 175K and a median price per square foot (PSF) of RM 155.
This area contains both residential and commercial properties. View 29 residential properties or 4 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 175K, with most transactions falling within a stable range of RM 128K to RM 222K, and a typical market range of RM 120K to RM 250K.
Within the Low-Cost House category, low-cost house dominated the market, with high diversity across multiple property types.
The median PSF stands at RM 155, with core pricing between RM 126 and RM 184. Market pricing typically extends from RM 123.09 to RM 186.59, reflecting moderate variation in unit pricing. The spread of RM 63.50 (IQR) and deviation of RM 29 (MAD) suggest moderate price variations reflecting different property features.
While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.