| LIST.MY · Taman Wira | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2023 | |||||
|
Lorong Wira 2/2
|
RM380,000
|
RM136
|
2,799 sqft
|
|
Semi-D |
|
Lorong Wira 2/1A
|
RM220,000
|
RM157
|
1,399 sqft
|
|
Terrace |
|
Lorong Wira 4
|
RM220,000
|
RM157
|
1,399 sqft
|
|
Terrace |
|
Jalan Wira 4
|
RM220,000
|
RM157
|
1,399 sqft
|
|
Terrace |
|
Lorong Wira 4
|
RM208,000
|
RM149
|
1,399 sqft
|
|
Terrace |
|
Lorong Wira 2/2
|
RM180,000
|
RM129
|
1,399 sqft
|
|
Terrace |
Selling in Taman Wira? Homes here sold for a median of RM220,000.
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Taman Wira
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
ResidentialRM220,000
RM153 psfMedian transaction price
Taman Wira, Kuala Muda, Kedah
Taman Wira in Kuala Muda, Kedah recorded 6 subsale transactions in 2023, with a median price of RM220K and a median price per square foot (PSF) of RM153.
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 RM220K, with most transactions falling within a stable range of RM180K to RM285K, and a typical market range of RM180K to RM260K.
Most transactions involved 1 - 1 1/2 storey terraced, though some variety exists in the market.
For price per square foot, the median is RM153, with most transactions between RM142 and RM164. The usual range is RM135.93 to RM169.93, showing that most units are priced quite close to each other. A typical spread (IQR) of RM34.00 and an average deviation (MAD) of RM11 indicate a highly stable PSF trend across properties.
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.