| Road | Price | PSF | Size | Date | Type |
|---|
|
Taman Setia
|
RM235,000
|
RM187
|
1,259 sqft
|
|
|
Jalan Taman Setia
|
RM185,000
|
RM116
|
1,600 sqft
|
|
|
|
Taman Setia
|
RM285,000
|
RM178
|
1,600 sqft
|
|
Posts about Taman Setia
No posts about Taman Setia yet. Be the first to share what’s happening here.
Nearby areas in Sungai Pasir
Taman Semarak
Taman Wawasan
Taman Teluk Baiduri
Taman Nilam
Taman Teluk Baiduri Ii
Taman Permai (SP)
Sungai Pasir Industrial Park
Taman Keladi Fasa 2
Taman Teluk Bayu
Taman Sejati Indah 3(B) 1
Taman Bakar Arang
Kaw Perindustrian Bakar Arang
Taman Setia
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 Sungai Pasir
Promote your property to visitors of this page
Market Snapshot
ResidentialRM235,000
RM147 psfMedian transaction price
Taman Setia, Kuala Muda, Kedah
Taman Setia in Kuala Muda, Kedah recorded 3 subsale transactions between 2021 and 2026, with a median price of RM235K and a median price per square foot (PSF) of RM178.
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 RM235K, with most transactions falling within a stable range of RM185K to RM285K, and a typical market range of RM210K to RM260K.
Most transactions involved 1 - 1 1/2 storey terraced, though some variety exists in the market.
The median PSF stands at RM178, with core pricing between RM147 and RM209. Market pricing typically extends from RM162.62 to RM193.62, reflecting moderate variation in unit pricing. The spread of RM31.00 (IQR) and deviation of RM31 (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.