| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong Timah
|
RM330,000
|
RM236
|
1,399 sqft
|
|
|
|
Suasa
|
RM310,000
|
RM222
|
1,399 sqft
|
|
|
|
Lorong. Suasa 4
|
RM180,000
|
RM129
|
1,400 sqft
|
|
|
|
Suasa
|
RM198,000
|
RM141
|
1,399 sqft
|
|
|
|
Suasa
|
RM198,000
|
RM141
|
1,399 sqft
|
|
|
|
Suasa
|
RM198,000
|
RM141
|
1,399 sqft
|
|
|
Jalan. Suasa 2
|
RM290,000
|
RM165
|
1,760 sqft
|
|
|
|
Jalan. Suasa 2
|
RM210,000
|
RM119
|
1,760 sqft
|
|
|
Lorong Suasa 1/3
|
RM260,000
|
RM112
|
2,325 sqft
|
|
|
|
Jalan Suasa
|
RM240,000
|
RM103
|
2,325 sqft
|
|
|
Jalan Suasa
|
RM189,000
|
RM67
|
2,820 sqft
|
|
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Taman Suasa
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 Kulim
Taman Suasa, Kulim, Kedah
Taman Suasa in Kulim, Kedah recorded 11 subsale transactions between 2021 and 2026, with a median price of RM210K and a median price per square foot (PSF) of RM142.
This area contains both residential and commercial properties. View 8 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 RM210K, with most transactions falling within a stable range of RM180K to RM240K, and a typical market range of RM180K to RM249K.
Most transactions involved 1 - 1 1/2 storey terraced, though some variety exists in the market.
The median PSF stands at RM142, with core pricing between RM118 and RM166. Market pricing typically extends from RM119.50 to RM163.50, reflecting moderate variation in unit pricing. The spread of RM44.00 (IQR) and deviation of RM24 (MAD) suggest moderate price variations reflecting different property features.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.