Jalan Pasir Putih

Perak, Kinta, Ipoh Selatan

Property Transactions

19 subsales grouped by road

Period
transactions middle 50% (P25–P75)
RM1,428,000
2,605 sqft
RM548 PSF · 2-Sty Shop
RM2,372,000
8,730 sqft
RM272 PSF · 4-Sty Shop
RM319,000
1,055 sqft
RM302 PSF · 1-Sty Shop
RM437,000
1,442 sqft
RM303 PSF · 1-Sty Shop
RM763,000
2,519 sqft
RM303 PSF · 1-Sty Shop
RM770,000
2,540 sqft
RM303 PSF · 1-Sty Shop
+6 more
RM600,000
2,131 sqft
RM282 PSF · 2-Sty Shop
RM740,000
2,433 sqft
RM304 PSF · 2-Sty Shop
RM610,000
2,131 sqft
RM286 PSF · 2-Sty Shop
RM700,000
3,078 sqft
RM227 PSF · 3-Sty Shop
RM650,000
2,325 sqft
RM280 PSF · 2-Sty Shop
RM660,000
3,078 sqft
RM214 PSF · 3-Sty Shop
RM2,700,000
8,321 sqft
RM324 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM700,000

RM338 psf

Median transaction price

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Jalan Pasir Putih, Kinta, Perak

Jalan Pasir Putih in Kinta, Perak recorded 19 subsale transactions between 2021 and 2026, with a median price of RM700K and a median price per square foot (PSF) of RM282.

This area consists exclusively of commercial properties, with no residential listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM700K, with most transactions falling within a stable range of RM570K to RM830K, and a typical market range of RM537K to RM863K.

Most transactions involved 2 - 2 1/2 storey shop, with high diversity across multiple property types.

The median PSF stands at RM282, with core pricing between RM247 and RM317. Market pricing typically extends from RM237.77 to RM325.27, reflecting moderate variation in unit pricing. With an IQR of RM87.50 and MAD of RM35, the PSF demonstrates reasonable consistency across the market.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.