| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Bandar Darulaman
|
RM 300,000
|
RM 195
|
1,539 sqft
|
|
|
|
Jalan Polimas
|
RM 230,000
|
RM 149
|
1,539 sqft
|
|
|
|
Jalan Tanah Merah - Wang Tepus
|
RM 250,000
|
RM 162
|
1,539 sqft
|
|
|
Lorong Siswa 8/2
|
RM 220,000
|
RM 134
|
1,647 sqft
|
|
|
|
Lorong Siswa, Bandar Darulaman
|
RM 300,000
|
RM 182
|
1,647 sqft
|
|
|
|
Jalan Darulaman
|
RM 200,000
|
RM 121
|
1,647 sqft
|
|
|
Jalan Tanah Merah - Wang Tepus
|
RM 320,000
|
RM 97
|
3,294 sqft
|
|
|
Jalan Siswa 9/1
|
RM 370,000
|
RM 101
|
3,670 sqft
|
|
|
Jalan Siswa 10
|
RM 450,000
|
RM 113
|
4,000 sqft
|
|
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Market Snapshot
ResidentialRM 300,000
RM 134 psfMedian transaction price
Taman Siswa 2, Kubang Pasu, Kedah
Taman Siswa 2 in Kubang Pasu, Kedah recorded 9 Single Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM 300K and a median price per square foot (PSF) of RM 134.
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 300K, with most transactions falling within a stable range of RM 225K to RM 375K, and a typical market range of RM 240K to RM 360K.
Within the Single Storey Terraced category, 1 - 1 1/2 storey terraced dominated the market, though some variety exists in the market.
Price per square foot shows a median of RM 134, though individual units vary from RM 101 to RM 167 in the core range. The broader market spans RM 109.75 to RM 158.25, indicating diverse property characteristics. The spread of RM 48.50 (IQR) and deviation of RM 33 (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.