Jalan Chung Ah Ming

Taman Hoover, Ipoh Selatan, 31650, Kinta, Perak, Malaysia

Property Transactions

6 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM230,000
Jalan Chung Ah Ming
1,739 sqft RM132 PSF
RM280,000
Lorong Chung Ah Ming
2,077 sqft RM135 PSF
RM600,000
Jalan Chung Ah Ming
3,089 sqft RM194 PSF
RM500,000
Jalan Chung Ah Ming
3,595 sqft RM139 PSF
RM460,000
Lorong Chung Ah Ming
7,007 sqft RM66 PSF
RM300,000
Jalan Chung Ah Ming
1,916 sqft RM157 PSF
Legend Recent Highest Price Highest PSF

Selling in Jalan Chung Ah Ming? Homes here sold for a median of RM380,000.

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Market Snapshot

Residential

RM265,000

RM144 psf

Median transaction price

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JALAN CHUNG AH MING, Taman Hoover, Ipoh Selatan, 31650, Kinta, Perak, Malaysia

Jalan Chung Ah Ming in Kinta, Perak recorded 6 subsale transactions in 2023, with a median price of RM380K and a median price per square foot (PSF) of RM137.

This area contains both residential and commercial properties. View 8 residential properties or 7 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM380K, with most transactions falling within a stable range of RM247K to RM513K, and a typical market range of RM296K to RM465K.

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

Price per square foot shows a median of RM137, though individual units vary from RM99 to RM175 in the core range. The broader market spans RM75.68 to RM198.18, indicating diverse property characteristics. A wider spread (IQR: RM122.50) and deviation (MAD: RM38) 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.