Taman Canning

31400 Ipoh, Perak, Malaysia

Property Transactions

7 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
4,400 sqft
Bungalow
RM870,000
Jalan Raja Kam
4,421 sqft · RM197 PSF
RM1,690,000
Jalan Raja Kam
4,421 sqft · RM382 PSF
RM850,000
Jalan Raja Kam
4,421 sqft · RM192 PSF
RM1,050,000
Jalan Canning Estate
4,421 sqft · RM238 PSF
RM830,000
Jalan Perak
4,421 sqft · RM188 PSF
RM880,000
Jalan Perak
4,421 sqft · RM199 PSF
RM1,800,000
Jalan Canning Estate
4,421 sqft · RM407 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM880,000

RM199 psf

Median transaction price

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Taman Canning, 31400 Ipoh, Perak, Malaysia

Maps

Taman Canning in Kinta, Perak recorded 7 subsale transactions between 2021 and 2026, sized between 4,375 and 4,424 sqft, with a median price of RM880K and a median price per square foot (PSF) of RM199.

This area contains both residential and commercial properties. View 106 residential properties or 2 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM880K, with most transactions falling within a stable range of RM830K to RM1.27 million, and a typical market range of RM830K to RM1.10 million.

Most transactions involved 1 - 1 1/2 storey terraced, with moderate diversity in property types available.

Price per square foot shows a median of RM199, though individual units vary from RM111 to RM287 in the core range. The broader market spans RM174.81 to RM223.31, indicating diverse property characteristics. A wider spread (IQR: RM48.50) and deviation (MAD: RM88) indicate significant PSF variations, likely due to diverse property types or conditions.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.