Taman Tasek Putra

Tronoh, 31750, Kinta, Perak, Malaysia

Property Transactions

9 subsales grouped by size · Terrace →

Period
transactions middle 50% (P25–P75)
1,200 sqft
Terrace
RM178,000
Persiaran Putra 11
1,195 sqft · RM149 PSF
1,400 sqft
Terrace
RM120,000
Persiaran Putra 5
1,399 sqft · RM86 PSF
RM182,000
Persiaran Putra 3
1,399 sqft · RM130 PSF
RM120,000
Persiaran Putra 3
1,399 sqft · RM86 PSF
RM180,000
Persiaran Putra 4
1,399 sqft · RM129 PSF
RM190,000
Persiaran Putra 4
1,399 sqft · RM136 PSF
RM200,000
Persiaran Putra 8
1,399 sqft · RM143 PSF
RM180,000
Persiaran Putra 4
1,399 sqft · RM129 PSF
2,650 sqft
2-Sty Shop
RM340,000
Persiaran Putra 1
2,659 sqft · RM128 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM180,000

RM130 psf

Median transaction price

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TAMAN TASEK PUTRA, Tronoh, 31750, Kinta, Perak, Malaysia

Taman Tasek Putra in Kinta, Perak recorded 9 subsale transactions between 2021 and 2026, with a median price of RM180K and a median price per square foot (PSF) of RM129.

This area contains both residential and commercial properties. View 8 residential properties or 1 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM180K, with most transactions falling within a stable range of RM170K to RM190K, and a typical market range of RM174K to RM186K.

Most transactions involved 1 - 1 1/2 storey terraced, though some variety exists in the market.

The median PSF stands at RM129, with core pricing between RM116 and RM142. Market pricing typically extends from RM121.63 to RM135.63, reflecting moderate variation in unit pricing. With an IQR of RM14.00 and MAD of RM13, 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.