| Price | PSF | Size | Date | Type |
|---|
|
RM426,000
|
RM254
|
1,679 sqft
|
|
|
|
RM449,000
|
RM267
|
1,679 sqft
|
|
|
|
RM426,000
|
RM254
|
1,679 sqft
|
|
|
|
RM426,000
|
RM254
|
1,679 sqft
|
|
|
|
RM459,000
|
RM273
|
1,679 sqft
|
|
|
|
RM426,000
|
RM254
|
1,679 sqft
|
|
|
RM400,000
|
RM241
|
1,658 sqft
|
|
|
|
RM418,000
|
RM252
|
1,658 sqft
|
|
|
|
RM439,000
|
RM265
|
1,658 sqft
|
|
|
RM520,000
|
RM314
|
1,658 sqft
|
|
|
|
RM490,000
|
RM296
|
1,658 sqft
|
|
Selling in Taman Intan Setia? Homes here sold for a median of RM449,000.
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Taman Ria Jaya Fasa 3
Taman Intan Setia
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
ResidentialRM449,000
RM318 psfMedian transaction price
Taman Intan Setia, Kuala Muda, Kedah
Taman Intan Setia in Kuala Muda, Kedah recorded 18 subsale transactions between 2021 and 2026, with a median price of RM449K and a median price per square foot (PSF) of RM267.
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 RM449K, with most transactions falling within a stable range of RM426K to RM472K, and a typical market range of RM434K to RM464K.
Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.
For price per square foot, the median is RM267, with most transactions between RM254 and RM281. The usual range is RM258.89 to RM275.89, showing that most units are priced quite close to each other. A typical spread (IQR) of RM17.00 and an average deviation (MAD) of RM14 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.