| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Meru Mutiara 25
|
RM650,000
|
RM265
|
2,454 sqft
|
|
Semi-D |
|
Jalan Meru Mutiara 24
|
RM550,000
|
RM224
|
2,454 sqft
|
|
Semi-D |
|
Jalan Meru Mutiara 25
|
RM550,000
|
RM224
|
2,454 sqft
|
|
Cluster |
|
Jalan Meru Mutiara 24
|
RM510,000
|
RM208
|
2,454 sqft
|
|
Semi-D |
|
Jalan Meru Mutiara 24
|
RM500,000
|
RM204
|
2,454 sqft
|
|
Semi-D |
|
Jalan Meru Mutiara 2
|
RM575,000
|
RM234
|
2,454 sqft
|
|
Semi-D |
Selling in Taman Meru Mutiara? Homes here sold for a median of RM550,000.
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Taman Meru Mutiara
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 Ulu Kinta
Market Snapshot
ResidentialRM550,000
RM224 psfMedian transaction price
Taman Meru Mutiara, Kinta, Perak
Taman Meru Mutiara in Kinta, Perak recorded 14 subsale transactions between 2021 and 2026, sized between 2,425 and 2,474 sqft, with a median price of RM550K and a median price per square foot (PSF) of RM224.
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 RM550K, with most transactions falling within a stable range of RM512K to RM588K, and a typical market range of RM500K to RM609K.
Most transactions involved 2 - 2 1/2 storey terraced2 - 2, though some variety exists in the market.
For price per square foot, the median is RM224, with most transactions between RM209 and RM240. The usual range is RM211.61 to RM236.61, showing that most units are priced quite close to each other. A typical spread (IQR) of RM25.00 and an average deviation (MAD) of RM15 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.