Fettes Park

38, Jalan Fettes, Tanjung Tokong, 11200 Tanjung Bungah, Pulau Pinang, Malaysia

Property Transactions

12 subsales grouped by road

Period
transactions middle 50% (P25–P75)
RM700,000
1,349 sqft
RM519 PSF
RM700,000
1,131 sqft
RM619 PSF
RM626,000
1,178 sqft
RM531 PSF
RM640,000
1,355 sqft
RM472 PSF
RM1,550,000
3,608 sqft
RM430 PSF
RM640,000
1,244 sqft
RM514 PSF
RM1,375,000
1,163 sqft
RM1,183 PSF
RM1,139,000
3,330 sqft
RM342 PSF
RM660,000
1,182 sqft
RM558 PSF
RM1,680,000
4,478 sqft
RM375 PSF
RM1,100,000
2,458 sqft
RM448 PSF
RM1,600,000
3,822 sqft
RM419 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM700,000

RM517 psf

Median transaction price

Fettes Park
© OpenStreetMap · CARTO

38, Jalan Fettes, Tanjung Tokong, 11200 Tanjung Bungah, Pulau Pinang, Malaysia

Maps

Fettes Park in Timur Laut, Penang recorded 12 subsale transactions between 2021 and 2026, with a median price of RM900K and a median price per square foot (PSF) of RM514.

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 RM900K, with most transactions falling within a stable range of RM640K to RM1.16 million, and a typical market range of RM626K to RM1.28 million.

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

The median PSF stands at RM514, with core pricing between RM450 and RM578. Market pricing typically extends from RM459.22 to RM569.72, reflecting moderate variation in unit pricing. With an IQR of RM110.50 and MAD of RM64, the PSF demonstrates reasonable consistency across the market.

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.