Bertam Perdana

Persiaran Bertam Perdana 6, Kepala Batas, Pulau Pinang, Malaysia

Property Transactions

5 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM410,000
Lorong Shahbandar 25
2,217 sqft RM185 PSF
RM500,000
Lorong Limonia 18
2,185 sqft RM229 PSF
RM550,000
Lorong Limonia 20
2,185 sqft RM252 PSF
RM520,000
Lorong Limonia 16
2,185 sqft RM238 PSF
RM505,000
Lorong Limonia 18
2,185 sqft RM231 PSF
Legend Recent Highest Price Highest PSF

Selling in Bertam Perdana? Homes here sold for a median of RM505,000.

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Market Snapshot

RM505,000

RM231 psf

Median transaction price

RM763,000

RM506 psf

Median transaction price

Bertam Perdana
© OpenStreetMap · CARTO

Persiaran Bertam Perdana 6, Kepala Batas, Pulau Pinang, Malaysia

Maps

Bertam Perdana in Seberang Perai Utara, Penang recorded 5 subsale transactions between 2021 and 2026, sized between 2,175 and 2,224 sqft, with a median price of RM505K and a median price per square foot (PSF) of RM231.

This area contains both residential and commercial properties. View 194 residential properties or 12 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM505K, with most transactions falling within a stable range of RM458K to RM550K, and a typical market range of RM421K to RM550K.

Most transactions involved low-cost houselow-cost ho, with high diversity across multiple property types.

For price per square foot, the median is RM231, with most transactions between RM209 and RM254. The usual range is RM196.86 to RM265.36, showing that most units are priced quite close to each other. With an IQR of RM68.50 and MAD of RM22, the PSF demonstrates reasonable consistency across the market.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.