Taman Wing Onn

Ipoh Utara, Kinta, Perak, Malaysia

Property Transactions

6 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,550 sqft
Terrace
RM360,000
Hala Wing Onn
1,539 sqft · RM234 PSF
RM323,000
Lebohraya Wing Onn 2
1,550 sqft · RM208 PSF
RM250,000
Lebuh Wing Onn 3
1,539 sqft · RM162 PSF
RM250,000
Lebuh Wing Onn 2
1,539 sqft · RM162 PSF
2,000 sqft
2-Sty Terrace
RM330,000
Lintasan Wing Onn
2,002 sqft · RM165 PSF
3,200 sqft
Semi-D
RM1,400,000
Persiaran Wing Onn
3,197 sqft · RM438 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM326,500

RM187 psf

Median transaction price

RM556,500

RM273 psf

Median transaction price

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TAMAN WING ONN, Ipoh Utara, Kinta, Perak, Malaysia

Taman Wing Onn in Kinta, Perak recorded 6 subsale transactions between 2021 and 2026, with a median price of RM327K and a median price per square foot (PSF) of RM187.

This area contains both residential and commercial properties. View 17 residential properties or 6 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM327K, with most transactions falling within a stable range of RM250K to RM738K, and a typical market range of RM250K to RM435K.

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

Price per square foot shows a median of RM187, though individual units vary from RM89 to RM284 in the core range. The broader market spans RM154.61 to RM218.61, indicating diverse property characteristics. A wider spread (IQR: RM64.00) and deviation (MAD: RM98) 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.