| Price | PSF | Size | Date | Type |
|---|
|
RM 190,000
|
RM 109
|
1,744 sqft
|
|
Semi-D |
|
RM 195,000
|
RM 112
|
1,744 sqft
|
|
Semi-D |
|
RM 200,000
|
RM 115
|
1,744 sqft
|
|
Semi-D |
|
RM 170,000
|
RM 100
|
1,701 sqft
|
|
Cluster |
|
RM 160,000
|
RM 92
|
1,744 sqft
|
|
Semi-D |
|
RM 215,000
|
RM 116
|
1,851 sqft
|
|
Cluster |
|
RM 330,000
|
RM 100
|
3,305 sqft
|
|
Cluster |
|
RM 170,000
|
RM 100
|
1,701 sqft
|
|
Semi-D |
|
RM 230,000
|
RM 155
|
1,485 sqft
|
|
|
|
RM 165,000
|
RM 112
|
1,475 sqft
|
|
|
RM 190,000
|
RM 80
|
2,379 sqft
|
|
Cluster |
|
RM 160,000
|
RM 92
|
1,744 sqft
|
|
Semi-D |
Posts about Taman Mesra Rakyat, Kampar
No posts about Taman Mesra Rakyat, Kampar yet. Be the first to share what’s happening here.
Promote your property to visitors of this page
Market Snapshot
ResidentialRM 197,500
RM 134 psfMedian transaction price
Taman Mesra Rakyat, Kampar in Kampar, Perak recorded 13 subsale transactions between 2021 and 2026, with a median price of RM 180K and a median price per square foot (PSF) of RM 109.
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 RM 180K, with most transactions falling within a stable range of RM 163K to RM 198K, and a typical market range of RM 164K to RM 196K.
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 RM 109, with most transactions between RM 101 and RM 116. The usual range is RM 101.59 to RM 116.34, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 14.75 and an average deviation (MAD) of RM 8 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.