Taman Usahaniaga

14000 Bukit Mertajam, Pulau Pinang, Malaysia

Property Transactions

6 subsales found

Median
RM147,500
PSF
RM163
Price Size
Period
transactions middle 50% (P25–P75)
RM160,000
Level 3
904 sqft RM177 PSF
RM135,000
Level 3
904 sqft RM149 PSF
RM445,000
Level G
893 sqft RM498 PSF
RM180,000
Level G
893 sqft RM201 PSF
RM87,000
Level 2
904 sqft RM96 PSF
RM73,000
Level 3
904 sqft RM81 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Usahaniaga? Homes here sold for a median of RM147,500.

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Market Snapshot

RM135,000

RM149 psf

Median transaction price

RM445,000

RM498 psf

Median transaction price

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Taman Usahaniaga, 14000 Bukit Mertajam, Pulau Pinang, Malaysia

Maps

Taman Usahaniaga in Seberang Perai Tengah, Penang recorded 6 subsale transactions between 2021 and 2026, sized between 875 and 924 sqft, with a median price of RM148K and a median price per square foot (PSF) of RM163.

This area contains both residential and commercial properties. View 8 residential properties or 14 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM148K, with most transactions falling within a stable range of RM73K to RM272K, and a typical market range of RM116K to RM179K.

Most transactions involved flats, with high diversity across multiple property types.

Price per square foot shows a median of RM163, though individual units vary from RM24 to RM303 in the core range. The broader market spans RM137.01 to RM189.26, indicating diverse property characteristics. A wider spread (IQR: RM52.25) and deviation (MAD: RM140) 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.