Taman Tronoh Putra

Perak, Kinta, Belanja (Kinta)

Property Transactions

10 subsales found

Median
RM247,000
PSF
RM177
Price Size
Period
transactions middle 50% (P25–P75)
RM249,000
Off Jalan Ipoh - Lumut
1,399 sqft RM178 PSF
RM249,000
Off Jalan Ipoh - Lumut
1,399 sqft RM178 PSF
RM249,000
Off Jalan Ipoh - Lumut
1,399 sqft RM178 PSF
RM245,000
Off Jalan Ipoh - Lumut
1,399 sqft RM175 PSF
RM253,000
Off Jalan Ipoh - Lumut
1,399 sqft RM181 PSF
RM245,000
Off Jalan Ipoh - Lumut
1,399 sqft RM175 PSF
RM257,000
Off Jalan Ipoh - Lumut
1,399 sqft RM184 PSF
RM245,000
Off Jalan Ipoh - Lumut
1,399 sqft RM175 PSF
RM239,000
Off Jalan Ipoh - Lumut
1,399 sqft RM171 PSF
RM245,000
Off Jalan Ipoh - Lumut
1,399 sqft RM175 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM247,000

RM177 psf

Median transaction price

Taman Tronoh Putra in Kinta, Perak recorded 10 subsale transactions between 2021 and 2026, sized between 1,375 and 1,424 sqft, with a median price of RM247K and a median price per square foot (PSF) of RM177.

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 RM247K, with most transactions falling within a stable range of RM242K to RM252K, and a typical market range of RM244K to RM250K.

Most transactions involved 1 - 1 1/2 storey terraced, with minimal variety in property types.

For price per square foot, the median is RM177, with most transactions between RM173 and RM180. The usual range is RM175.02 to RM178.02, showing that most units are priced quite close to each other. A typical spread (IQR) of RM3.00 and an average deviation (MAD) of RM3 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.