Property Type
| Price | PSF | Size | Date | Type |
|---|
|
RM560,000
|
RM211
|
2,659 sqft
|
|
|
|
RM500,000
|
RM188
|
2,659 sqft
|
|
|
|
RM390,000
|
RM147
|
2,659 sqft
|
|
|
RM750,000
|
RM282
|
2,659 sqft
|
|
|
|
RM600,000
|
RM226
|
2,659 sqft
|
|
|
|
RM500,000
|
RM188
|
2,659 sqft
|
|
|
RM410,000
|
RM263
|
1,561 sqft
|
|
2-Sty Terrace |
|
RM460,000
|
RM157
|
2,939 sqft
|
|
Semi-D |
Selling in Taman Cemara? Homes here sold for a median of RM500,000.
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Taman Cemara
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 Petani
Market Snapshot
ResidentialRM480,000
RM188 psfMedian transaction price
Taman Cemara, Kuala Muda, Kedah
Taman Cemara in Kuala Muda, Kedah recorded 11 subsale transactions between 2021 and 2026, with a median price of RM500K and a median price per square foot (PSF) of RM188.
This area contains both residential and commercial properties. View 5 residential properties or 6 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM500K, with most transactions falling within a stable range of RM440K to RM560K, and a typical market range of RM445K to RM555K.
Most transactions involved 2 - 2 1/2 storey shop, with moderate diversity in property types available.
Price per square foot shows a median of RM188, though individual units vary from RM83 to RM293 in the core range. The broader market spans RM111.72 to RM265.22, indicating diverse property characteristics. A wider spread (IQR: RM153.50) and deviation (MAD: RM105) indicate significant PSF variations, likely due to diverse property types or conditions.
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.