| Road | Price | PSF | Size | Date | Type |
|---|
|
Taman Sentosa
|
RM650,000
|
RM270
|
2,411 sqft
|
|
Semi-D |
|
Taman Sentosa
|
RM370,000
|
RM155
|
2,390 sqft
|
|
Semi-D |
|
Tnm Sentosa
|
RM350,000
|
RM146
|
2,400 sqft
|
|
Semi-D |
|
Taman Sentosa
|
RM405,000
|
RM152
|
2,668 sqft
|
|
|
Taman Sentosa
|
RM280,000
|
RM74
|
3,767 sqft
|
|
Selling in Taman Sentosa? Homes here sold for a median of RM370,000.
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Taman Sentosa
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
ResidentialRM370,000
RM152 psfMedian transaction price
Does TAMAN SENTOSA rent out well?
Gross yield, median rent and sale psf — worked out from transacted prices and asking rents.
See the yield with PlusRM59 a month, cancel any time
Taman Sentosa, Kuala Muda, Kedah
Taman Sentosa in Kuala Muda, Kedah recorded 5 subsale transactions between 2021 and 2026, with a median price of RM370K and a median price per square foot (PSF) of RM152.
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 RM370K, with most transactions falling within a stable range of RM335K to RM405K, and a typical market range of RM343K to RM398K.
Most transactions involved 2 - 2 1/2 storey semi-detached, though some variety exists in the market.
For price per square foot, the median is RM152, with most transactions between RM146 and RM158. The usual range is RM147.30 to RM156.30, showing that most units are priced quite close to each other. A typical spread (IQR) of RM9.00 and an average deviation (MAD) of RM6 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.