| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Delima 17
|
RM270,000
|
RM193
|
1,399 sqft
|
|
|
|
Jalan Delima 9
|
RM269,000
|
RM192
|
1,399 sqft
|
|
|
|
Jalan Delima 16
|
RM270,000
|
RM193
|
1,399 sqft
|
|
|
|
Jalan Delima 17
|
RM270,000
|
RM193
|
1,399 sqft
|
|
|
|
Jalan Delima 15
|
RM270,000
|
RM193
|
1,399 sqft
|
|
|
|
Jalan Delima 7
|
RM250,000
|
RM179
|
1,399 sqft
|
|
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Nearby areas in Tronoh
Bandar Baru Tronoh (Taman. Tronoh Baru)
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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
ResidentialRM270,000
RM193 psfMedian transaction price
Taman Pusing Delima in Kinta, Perak recorded 16 subsale transactions between 2021 and 2026, sized between 1,375 and 1,424 sqft, with a median price of RM270K and a median price per square foot (PSF) of RM193.
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 RM270K, with most transactions falling within a stable range of RM255K to RM285K, and a typical market range of RM260K to RM280K.
Most transactions involved 1 - 1 1/2 storey terraced, with minimal variety in property types.
For price per square foot, the median is RM193, with most transactions between RM182 and RM204. The usual range is RM185.20 to RM200.70, showing that most units are priced quite close to each other. A typical spread (IQR) of RM15.50 and an average deviation (MAD) of RM11 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.