Taman Sukun

Lorong Sukun 14, Taman Sukun, 14000 Simpang Ampat, Pulau Pinang, Malaysia

Property Transactions

9 subsales grouped by road

Period
transactions middle 50% (P25–P75)
RM970,000
3,380 sqft
RM287 PSF
RM840,000
3,380 sqft
RM249 PSF
RM680,000
3,380 sqft
RM201 PSF
RM730,000
3,380 sqft
RM216 PSF
RM330,000
1,399 sqft
RM236 PSF
RM223,000
1,389 sqft
RM161 PSF
RM290,000
1,399 sqft
RM207 PSF
RM499,000
3,186 sqft
RM157 PSF
RM430,000
3,918 sqft
RM110 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM290,000

RM207 psf

Median transaction price

Taman Sukun
© OpenStreetMap · CARTO

Lorong Sukun 14, Taman Sukun, 14000 Simpang Ampat, Pulau Pinang, Malaysia

Maps

Taman Sukun in Seberang Perai Tengah, Penang recorded 9 subsale transactions between 2021 and 2026, with a median price of RM499K and a median price per square foot (PSF) of RM207.

This area contains both residential and commercial properties. View 3 residential properties or 4 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM499K, with most transactions falling within a stable range of RM290K to RM708K, and a typical market range of RM299K to RM699K.

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

Price per square foot shows a median of RM207, though individual units vary from RM153 to RM261 in the core range. The broader market spans RM166.24 to RM248.24, indicating diverse property characteristics. A wider spread (IQR: RM82.00) and deviation (MAD: RM54) 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.