| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Laguna Mas 4
|
RM500,000
|
RM318
|
1,572 sqft
|
|
|
Jalan Alor Mengkudu
|
RM1,000,000
|
RM628
|
1,593 sqft
|
|
|
|
Jalan Alor Mengkudu
|
RM530,000
|
RM333
|
1,593 sqft
|
|
|
|
Jalan Alor Mengkudu
|
RM550,000
|
RM345
|
1,593 sqft
|
|
|
|
Jalan Alor Mengkudu
|
RM598,000
|
RM375
|
1,593 sqft
|
|
|
|
Jalan Alor Mengkudu
|
RM478,000
|
RM300
|
1,593 sqft
|
|
|
|
Jalan Alor Mengkudu
|
RM590,000
|
RM370
|
1,593 sqft
|
|
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Taman Laguna Mas
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 Alor Setar
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Market Snapshot
ResidentialRM550,000
RM345 psfMedian transaction price
Taman Laguna Mas, Kota Setar, Kedah
Taman Laguna Mas in Kota Setar, Kedah recorded 7 Double Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM550K and a median price per square foot (PSF) of RM345.
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 RM550K, with most transactions falling within a stable range of RM478K to RM716K, and a typical market range of RM478K to RM626K.
Within the Double Storey Terraced category, 2 - 2 1/2 storey terraced dominated the market, though some variety exists in the market.
Price per square foot shows a median of RM345, though individual units vary from RM242 to RM449 in the core range. The broader market spans RM299.50 to RM391.00, indicating diverse property characteristics. A wider spread (IQR: RM91.50) and deviation (MAD: RM104) 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.