| LIST.MY · Taman Budiman | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Jalan Budiman 6/1
|
RM450,000
|
RM118
|
3,821 sqft
|
|
Semi-D |
| 2021 | |||||
|
Off Jalan Alor Setar - Simpang Empat
|
RM348,000
|
RM91
|
3,821 sqft
|
|
Semi-D |
Selling in Taman Budiman? Homes here sold for a median of RM399,000.
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Nearby areas in Bandar Alor Setar
Taman Wira (Rpa Mergong)
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Taman Derga Jaya Fasa 1
Taman Budiman
Taman Tabung Haji (Nuri)
Taman Cassia
Taman Desa Seraya
Taman Pulasan
Taman Sri Abadi
Taman Lumba Kuda
Taman Sri Impian Fasa 1
Taman Sri Kota
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
Market Snapshot
ResidentialRM399,000
RM104 psfMedian transaction price
Taman Budiman, Kota Setar, Kedah
Taman Budiman in Kota Setar, Kedah recorded 2 subsale transactions between 2021 and 2026, sized between 3,775 and 3,824 sqft, with a median price of RM399K and a median price per square foot (PSF) of RM104.
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 RM399K, with most transactions falling within a stable range of RM348K to RM450K, and a typical market range of RM348K to RM450K.
Most transactions involved 1 - 1 1/2 storey terraced, with high diversity across multiple property types.
The median PSF stands at RM104, with core pricing between RM91 and RM118. Market pricing typically extends from RM48.67 to RM160.17, reflecting moderate variation in unit pricing. With an IQR of RM111.50 and MAD of RM13, the PSF demonstrates reasonable consistency across the market.
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.