Taman Industri Cheruk Tok Kun

Taman Perindustrian Bukit Minyak, Kawasan Perindustrian Bukit Minyak, 14100 Simpang Ampat, Penang, Malaysia

Property Transactions

3 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM1,600,000
Lorong Industri Cherok To' Kun 2
4,306 sqft RM372 PSF
RM288,000
Lorong Sejahtera 22
1,001 sqft RM288 PSF
RM250,000
Lorong Sejahtera 25
1,001 sqft RM250 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Industri Cheruk Tok Kun? Homes here sold for a median of RM288,000.

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Market Snapshot

Residential

RM269,000

RM269 psf

Median transaction price

Taman Industri Cheruk Tok Kun
© OpenStreetMap · CARTO

Taman Perindustrian Bukit Minyak, Kawasan Perindustrian Bukit Minyak, 14100 Simpang Ampat, Penang, Malaysia

Maps

Taman Industri Cheruk Tok Kun in Seberang Perai Tengah, Penang recorded 3 subsale transactions in 2023, with a median price of RM288K and a median price per square foot (PSF) of RM288.

This area contains both residential and commercial properties. View 13 residential properties or 3 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM288K, with most transactions falling within a stable range of RM250K to RM916K, and a typical market range of RM250K to RM337K.

Most transactions involved low-cost house, though some variety exists in the market.

The median PSF stands at RM288, with core pricing between RM237 and RM339. Market pricing typically extends from RM247.95 to RM327.45, reflecting moderate variation in unit pricing. The spread of RM79.50 (IQR) and deviation of RM51 (MAD) suggest moderate price variations reflecting different property features.

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.