| Road | Price | PSF | Size | Date | Type |
|---|
|
Lebuhraya Sultan Abdul Halim
|
RM295,000
|
RM211
|
1,399 sqft
|
|
|
Off Jalan Lencongan Barat
|
RM400,000
|
RM186
|
2,153 sqft
|
|
|
Lebuhraya Sultan Abdul Halim
|
RM520,000
|
RM167
|
3,111 sqft
|
|
Selling in Taman. Gunung Bongsu II? Homes here sold for a median of RM295,000.
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Taman. Gunung Bongsu II
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 Alor Setar
Taman. Gunung Bongsu II, Kota Setar, Kedah
Taman. Gunung Bongsu II in Kota Setar, Kedah recorded 5 subsale transactions between 2021 and 2026, with a median price of RM295K and a median price per square foot (PSF) of RM184.
Nothing is listed in Taman. Gunung Bongsu II right now. Browse properties for sale in Bandar Alor Setar and properties for rent in Bandar Alor Setar nearby, then use the 5 sales recorded here to judge whether an asking price is fair.
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 RM295K, with most transactions falling within a stable range of RM135K to RM455K, and a typical market range of RM163K to RM428K.
Most transactions involved 1 - 1 1/2 storey terraced, with moderate diversity in property types available.
For price per square foot, the median is RM184, with most transactions between RM167 and RM201. The usual range is RM174.50 to RM193.50, showing that most units are priced quite close to each other. A typical spread (IQR) of RM19.00 and an average deviation (MAD) of RM17 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.