| LIST.MY · Taman Meru Tropika | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2025 | |||||
|
Jalan Meru Tropika 10
|
RM350,000
|
RM250
|
1,399 sqft
|
|
Terrace |
|
Jalan Meru Tropika 6
|
RM380,000
|
RM231
|
1,647 sqft
|
|
Terrace |
Selling in Taman Meru Tropika? Homes here sold for a median of RM365,000.
Free to list, about two minutes, and the buyers reading this page will see it.
Posts about Taman Meru Tropika
No posts about Taman Meru Tropika yet. Be the first to share what’s happening here.
Nearby areas in Ulu Kinta
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 Ulu Kinta
Market Snapshot
ResidentialRM365,000
RM241 psfMedian transaction price
no 16, Jalan Meru Tropika 10, taman meru tropika, 31200 Chemor, Perak, Malaysia
MapsTaman Meru Tropika in Kinta, Perak recorded 2 subsale transactions in 2025, with a median price of RM365K and a median price per square foot (PSF) of RM241.
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 RM365K, with most transactions falling within a stable range of RM350K to RM380K, and a typical market range of RM350K to RM380K.
Most transactions involved 1 - 1 1/2 storey terraced, though some variety exists in the market.
For price per square foot, the median is RM241, with most transactions between RM231 and RM250. The usual range is RM186.00 to RM295.00, showing that most units are priced quite close to each other. With an IQR of RM109.00 and MAD of RM10, the PSF demonstrates reasonable consistency across the market.
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.