| Road | Price | PSF | Size | Date | Type |
|---|
|
Off Jalan Dato' Sri Kamarudin
|
RM449,000
|
RM148
|
3,025 sqft
|
|
|
Off Jalan Dato' Sri Kamarudin
|
RM449,000
|
RM146
|
3,078 sqft
|
|
|
|
Off Jalan Dato' Sri Kamarudin
|
RM499,000
|
RM160
|
3,111 sqft
|
|
|
Off Jalan Dato' Sri Kamarudin
|
RM499,000
|
RM159
|
3,132 sqft
|
|
|
Off Jalan Dato' Sri Kamarudin
|
RM500,000
|
RM156
|
3,197 sqft
|
|
|
Off Jalan Dato' Sri Kamarudin
|
RM500,000
|
RM147
|
3,412 sqft
|
|
|
Off Jalan Dato' Sri Kamarudin
|
RM539,000
|
RM155
|
3,477 sqft
|
|
Selling in Taman Wangsa Permai (P/L 13367)? Homes here sold for a median of RM499,000.
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Taman Wangsa Permai (P/L 13367)
Marketplace listings
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 Lumut
Market Snapshot
ResidentialRM499,000
RM155 psfMedian transaction price
Taman Wangsa Permai (P/L 13367) in Manjung, Perak recorded 7 subsale transactions between 2021 and 2026, sized between 3,000 and 10,000 sqft, with a median price of RM499K and a median price per square foot (PSF) of RM155.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM499K, with most transactions falling within a stable range of RM469K to RM529K, and a typical market range of RM493K to RM505K.
Most transactions involved 1 - 1 1/2 storey semi-detached, with minimal variety in property types.
For price per square foot, the median is RM155, with most transactions between RM149 and RM161. The usual range is RM145.16 to RM164.91, showing that most units are priced quite close to each other. A typical spread (IQR) of RM19.75 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.