| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong Ria Mesra 42
|
RM180,000
|
RM151
|
1,195 sqft
|
|
|
|
Lorong Ria Mesra 58
|
RM240,000
|
RM201
|
1,195 sqft
|
|
|
Lorong 14
|
RM280,000
|
RM200
|
1,399 sqft
|
|
|
|
Lorong 21
|
RM230,000
|
RM164
|
1,399 sqft
|
|
|
Lorong Ria Mesra 8
|
RM265,000
|
RM121
|
2,185 sqft
|
|
|
Lorong Ria Mesra 72
|
RM275,000
|
RM98
|
2,799 sqft
|
|
|
Lorong Mesra 11
|
RM290,000
|
RM91
|
3,197 sqft
|
|
Selling in Taman Ria Mesra 2? Homes here sold for a median of RM265,000.
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Taman Ria Mesra Fasa 1
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Taman Ria Mesra Fasa 2
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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 Gurun
Market Snapshot
ResidentialRM265,000
RM151 psfMedian transaction price
Taman Ria Mesra 2, 08300 Gurun, Kedah, Malaysia
MapsTaman Ria Mesra 2 in Kuala Muda, Kedah recorded 9 subsale transactions in 2025, with a median price of RM265K and a median price per square foot (PSF) of RM151.
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 RM265K, with most transactions falling within a stable range of RM231K to RM290K, and a typical market range of RM225K to RM290K.
Most transactions involved 1 - 1 1/2 storey terraced, with moderate diversity in property types available.
Price per square foot shows a median of RM151, though individual units vary from RM111 to RM191 in the core range. The broader market spans RM128.28 to RM173.03, indicating diverse property characteristics. A wider spread (IQR: RM44.75) and deviation (MAD: RM40) 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.