| Road | Price | PSF | Size | Date | Type |
|---|
|
Off Jalan Kuala Kedah
|
RM 357,000
|
RM 132
|
2,713 sqft
|
|
|
Off Jalan Kuala Kedah
|
RM 358,000
|
RM 131
|
2,734 sqft
|
|
|
Jalan Andalas 1/1
|
RM 363,000
|
RM 127
|
2,863 sqft
|
|
|
|
Off Jalan Kuala Kedah
|
RM 363,000
|
RM 127
|
2,852 sqft
|
|
|
|
Off Jalan Kuala Kedah
|
RM 363,000
|
RM 127
|
2,863 sqft
|
|
|
|
Off Jalan Kuala Kedah
|
RM 362,000
|
RM 127
|
2,842 sqft
|
|
|
|
Off Jalan Kuala Kedah
|
RM 363,000
|
RM 127
|
2,863 sqft
|
|
|
|
Off Jalan Kuala Kedah
|
RM 363,000
|
RM 127
|
2,863 sqft
|
|
|
|
Off Jalan Kuala Kedah
|
RM 363,000
|
RM 127
|
2,863 sqft
|
|
|
Off Jalan Kuala Kedah
|
RM 374,000
|
RM 119
|
3,143 sqft
|
|
|
Off Jalan Kuala Kedah
|
RM 388,000
|
RM 111
|
3,488 sqft
|
|
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Market Snapshot
ResidentialRM 363,000
RM 127 psfMedian transaction price
Taman Shah Bandar, Kota Setar, Kedah
Taman Shah Bandar in Kota Setar, Kedah recorded 11 subsale transactions in 2023, with a median price of RM 363K and a median price per square foot (PSF) of RM 127.
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 RM 363K, with most transactions falling within a stable range of RM 357K to RM 371K, and a typical market range of RM 357K to RM 376K.
Most transactions involved 1 - 1 1/2 storey semi-detached, though some variety exists in the market.
For price per square foot, the median is RM 127, with most transactions between RM 121 and RM 132. The usual range is RM 124.41 to RM 129.16, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 4.75 and an average deviation (MAD) of RM 5 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.