Taman Guar Perahu

20, Tmn Guar Perahu, Taman Guar Perahu, 14000 Bukit Mertajam, Pulau Pinang, Malaysia

Property Transactions

13 subsales grouped by road

Period
transactions middle 50% (P25–P75)
RM520,000
3,197 sqft
RM163 PSF
RM400,000
3,197 sqft
RM125 PSF
RM280,000
1,098 sqft
RM255 PSF
RM295,000
1,098 sqft
RM269 PSF
RM350,000
1,098 sqft
RM319 PSF
RM350,000
1,098 sqft
RM319 PSF
RM335,000
1,098 sqft
RM305 PSF
RM270,000
1,098 sqft
RM246 PSF
RM260,000
1,098 sqft
RM237 PSF
RM420,000
2,336 sqft
RM180 PSF
RM325,000
1,098 sqft
RM296 PSF
RM280,000
1,098 sqft
RM255 PSF
RM325,000
1,098 sqft
RM296 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM325,000

RM255 psf

Median transaction price

Taman Guar Perahu
© OpenStreetMap · CARTO

20, Tmn Guar Perahu, Taman Guar Perahu, 14000 Bukit Mertajam, Pulau Pinang, Malaysia

Maps

Taman Guar Perahu in Seberang Perai Tengah, Penang recorded 13 subsale transactions between 2021 and 2026, with a median price of RM325K and a median price per square foot (PSF) of RM255.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM325K, with most transactions falling within a stable range of RM280K to RM370K, and a typical market range of RM290K to RM360K.

Most transactions involved 2 - 2 1/2 storey terraced, though some variety exists in the market.

The median PSF stands at RM255, with core pricing between RM214 and RM296. Market pricing typically extends from RM225.50 to RM284.50, reflecting moderate variation in unit pricing. The spread of RM59.00 (IQR) and deviation of RM41 (MAD) suggest moderate price variations reflecting different property features.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.