Taman Seri Bayu 2
08000 Sungai Lalang, Kedah, Malaysia
08000 Sungai Lalang, Kedah, Malaysia
| LIST.MY · Taman Seri Bayu 2 | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Taman Seri Bayu 2
|
RM320,000
|
RM242
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1,324 sqft
|
|
2-Sty Terrace |
|
Taman Seri Bayu 2
|
RM320,000
|
RM242
|
1,324 sqft
|
|
2-Sty Terrace |
| 2023 | |||||
|
Taman Seri Bayu 2
|
RM319,000
|
RM241
|
1,324 sqft
|
|
2-Sty Terrace |
Selling in Taman Seri Bayu 2? Homes here sold for a median of RM320,000.
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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 Lalang
Market Snapshot
ResidentialRM320,000
RM242 psfMedian transaction price
Taman Seri Bayu 2, 08000 Sungai Lalang, Kedah, Malaysia
MapsTaman Seri Bayu 2 in Kuala Muda, Kedah recorded 3 subsale transactions between 2021 and 2026, sized between 1,275 and 1,324 sqft, with a median price of RM320K and a median price per square foot (PSF) of RM242.
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 RM320K, with most transactions falling within a stable range of RM320K to RM320K, and a typical market range of RM319K to RM320K.
Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.
For price per square foot, the median is RM242, with most transactions between RM241 and RM242. The usual range is RM227.20 to RM256.20, showing that most units are priced quite close to each other. A typical spread (IQR) of RM29.00 and an average deviation (MAD) of RM0 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. 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.