| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong 35
|
RM245,000
|
RM205
|
1,195 sqft
|
|
Terrace |
|
Lorong 36
|
RM260,000
|
RM218
|
1,195 sqft
|
|
LC House |
|
Lorong 35
|
RM230,000
|
RM193
|
1,195 sqft
|
|
LC House |
|
Lorong 35
|
RM200,000
|
RM167
|
1,195 sqft
|
|
LC House |
|
Jalan Indah 42
|
RM123,000
|
RM103
|
1,195 sqft
|
|
LC House |
|
Lorong 45
|
RM200,000
|
RM167
|
1,195 sqft
|
|
LC House |
|
Lorong 35
|
RM100,000
|
RM84
|
1,195 sqft
|
|
LC House |
Selling in Taman Sejati Indah Fasa 3A(1)? Homes here sold for a median of RM200,000.
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Taman Sejati Indah Fasa 3A(1)
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
Taman Sejati Indah Fasa 3A(1), Kuala Muda, Kedah
Taman Sejati Indah Fasa 3A(1) in Kuala Muda, Kedah recorded 7 subsale transactions between 2021 and 2026, with a median price of RM200K and a median price per square foot (PSF) of RM167.
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 RM200K, with most transactions falling within a stable range of RM155K to RM245K, and a typical market range of RM162K to RM238K.
Most transactions involved low-cost house, though some variety exists in the market.
Price per square foot shows a median of RM167, though individual units vary from RM129 to RM205 in the core range. The broader market spans RM135.39 to RM199.39, indicating diverse property characteristics. The spread of RM64.00 (IQR) and deviation of RM38 (MAD) suggest moderate price variations reflecting different property features.
While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.