| Price | PSF | Size | Date | Type |
|---|
|
RM190,000
|
RM109
|
1,744 sqft
|
|
Semi-D |
|
RM195,000
|
RM112
|
1,744 sqft
|
|
Semi-D |
|
RM200,000
|
RM115
|
1,744 sqft
|
|
Semi-D |
|
RM170,000
|
RM100
|
1,701 sqft
|
|
Cluster |
|
RM160,000
|
RM92
|
1,744 sqft
|
|
Semi-D |
|
RM215,000
|
RM116
|
1,851 sqft
|
|
Cluster |
|
RM330,000
|
RM100
|
3,305 sqft
|
|
Cluster |
|
RM170,000
|
RM100
|
1,701 sqft
|
|
Semi-D |
|
RM230,000
|
RM155
|
1,485 sqft
|
|
|
|
RM165,000
|
RM112
|
1,475 sqft
|
|
|
RM190,000
|
RM80
|
2,379 sqft
|
|
Cluster |
|
RM160,000
|
RM92
|
1,744 sqft
|
|
Semi-D |
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Taman Mesra Rakyat, Kampar
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 Mukim Kampar
Market Snapshot
ResidentialRM197,500
RM134 psfMedian transaction price
Taman Mesra Rakyat, Kampar in Kampar, Perak recorded 13 subsale transactions between 2021 and 2026, with a median price of RM180K and a median price per square foot (PSF) of RM109.
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 RM180K, with most transactions falling within a stable range of RM163K to RM198K, and a typical market range of RM164K to RM196K.
Most transactions involved 1 - 1 1/2 storey semi1 - 1 1/2, though some variety exists in the market.
For price per square foot, the median is RM109, with most transactions between RM101 and RM116. The usual range is RM101.59 to RM116.34, showing that most units are priced quite close to each other. A typical spread (IQR) of RM14.75 and an average deviation (MAD) of RM8 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.