| Road | Price | PSF | Size | Date | Type |
|---|
|
Taman Berjaya
|
RM300,000
|
RM94
|
3,197 sqft
|
|
|
|
Lorong 3
|
RM320,000
|
RM100
|
3,197 sqft
|
|
|
|
Lorong Berjaya 3
|
RM320,000
|
RM100
|
3,197 sqft
|
|
|
|
Taman Berjaya
|
RM320,000
|
RM100
|
3,197 sqft
|
|
|
Lorong Berjaya 4
|
RM300,000
|
RM81
|
3,703 sqft
|
|
|
|
Lorong Berjaya 4
|
RM300,000
|
RM81
|
3,703 sqft
|
|
|
|
Lorong Berjaya 3
|
RM350,000
|
RM95
|
3,692 sqft
|
|
|
Lorong Berjaya 2
|
RM345,000
|
RM83
|
4,166 sqft
|
|
|
Lorong Berjaya 4
|
RM450,000
|
RM92
|
4,865 sqft
|
|
Posts about Taman Berjaya ( Pdg Lembu )
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Taman Berjaya ( Pdg Lembu )
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 Gurun
Market Snapshot
ResidentialRM397,500
RM88 psfMedian transaction price
Taman Berjaya ( Pdg Lembu ) in Kuala Muda, Kedah recorded 9 subsale transactions between 2021 and 2026, with a median price of RM320K and a median price per square foot (PSF) of RM94.
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 RM320K, with most transactions falling within a stable range of RM300K to RM340K, and a typical market range of RM300K to RM343K.
Most transactions involved 1 - 1 1/2 storey semi-detached, though some variety exists in the market.
For price per square foot, the median is RM94, with most transactions between RM88 and RM100. The usual range is RM85.34 to RM102.34, showing that most units are priced quite close to each other. A typical spread (IQR) of RM17.00 and an average deviation (MAD) of RM6 indicate a highly stable PSF trend across properties.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.