Taman Sukun

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

Property Transactions

4 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
3,400 sqft
2-Sty Shop
RM970,000
Jalan Sukun 1
3,380 sqft · RM287 PSF
RM840,000
Jalan Sukun 1
3,380 sqft · RM249 PSF
RM680,000
Jalan Sukun 1
3,380 sqft · RM201 PSF
RM730,000
Jalan Sukun 1
3,380 sqft · RM216 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Sukun? Homes here sold for a median of RM785,000.

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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 4 Double Storey Shop properties subsale transactions between 2021 and 2026, with a median price of RM785K and a median price per square foot (PSF) of RM232.

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 RM785K, with most transactions falling within a stable range of RM680K to RM896K, and a typical market range of RM680K to RM970K.

Within the Double Storey Shop category, 2 - 2 1/2 storey shop dominated the market, with high diversity across multiple property types.

The median PSF stands at RM232, with core pricing between RM199 and RM265. Market pricing typically extends from RM191.26 to RM273.26, reflecting moderate variation in unit pricing. With an IQR of RM82.00 and MAD of RM33, 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.