Property Type
| LIST.MY · Taman Sutera | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2021 | |||||
|
Lorong 2
|
RM200,000
|
RM74
|
2,687 sqft
|
|
Terrace |
|
Lorong 2
|
RM175,000
|
RM125
|
1,400 sqft
|
|
Terrace |
|
Lorong 9
|
RM180,000
|
RM66
|
2,720 sqft
|
|
Semi-D |
|
Lorong 9
|
RM220,000
|
RM81
|
2,720 sqft
|
|
Semi-D |
Selling in Taman Sutera? Homes here sold for a median of RM190,000.
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Taman Sutera
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
RM190,000
RM78 psfMedian transaction price
RM500,000
RM298 psfMedian transaction price
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Taman Sutera, Kuala Muda, Kedah
Taman Sutera in Kuala Muda, Kedah recorded 4 subsale transactions in 2021, with a median price of RM190K and a median price per square foot (PSF) of RM78.
This area contains both residential and commercial properties. View 7 residential properties or 3 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM190K, with most transactions falling within a stable range of RM175K to RM208K, and a typical market range of RM175K to RM220K.
Most transactions involved 1 - 1 1/2 storey semi-detached, with moderate diversity in property types available.
Price per square foot shows a median of RM78, though individual units vary from RM55 to RM100 in the core range. The broader market spans RM57.91 to RM97.41, indicating diverse property characteristics. A wider spread (IQR: RM39.50) and deviation (MAD: RM23) indicate significant PSF variations, likely due to diverse property types or conditions.
While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.