| Road | Price | PSF | Size | Date | Type |
|---|
|
Laluan Tronoh Jaya 9
|
RM278,000
|
RM69
|
4,004 sqft
|
|
|
|
Laluan Tronoh Jaya 12
|
RM150,000
|
RM37
|
4,004 sqft
|
|
|
Laluan Tronoh Jaya 9
|
RM320,000
|
RM64
|
5,005 sqft
|
|
Selling in Taman Tronoh Jaya (Rpt Nalla)? Homes here sold for a median of RM278,000.
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Nearby areas in Tronoh
Bandar Baru Tronoh (Taman. Tronoh Baru)
Taman Pusing Delima
Taman Permai Puteh
Taman Simfoni Iskandar
Taman Tasek Putra
Taman Pusing Permai
Taman Sri Desa Tronoh / Rpt Muhibah Tronoh
Taman Tronoh Universiti
Taman Tronoh Jaya (Rpt Nalla)
Taman Gerbang Siputeh Sari
Kampung Baru Nalla Tronoh
Taman Siputeh Pancaran
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 Tronoh
Market Snapshot
ResidentialRM278,000
RM64 psfMedian transaction price
Taman Tronoh Jaya (Rpt Nalla) in Kinta, Perak recorded 3 subsale transactions in 2025, with a median price of RM278K and a median price per square foot (PSF) of RM64.
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 RM278K, with most transactions falling within a stable range of RM206K to RM320K, and a typical market range of RM234K to RM320K.
Most transactions involved detached, with minimal variety in property types.
Price per square foot shows a median of RM64, though individual units vary from RM50 to RM78 in the core range. The broader market spans RM54.93 to RM72.93, indicating diverse property characteristics. The spread of RM18.00 (IQR) and deviation of RM14 (MAD) suggest moderate price variations reflecting different property features.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.