Kristal Point

Jalan Sultan Azlan Shah, Krystal Point Corporate Park, 11900 Bayan Lepas, Pulau Pinang, Malaysia

Property Transactions

7 subsales found

Median
RM540,000
PSF
RM564

Property Type

Price Size
Period
transactions middle 50% (P25–P75)
RM1,250,000
Level 1
958 sqft RM1,305 PSF
RM1,200,000
Level 1
958 sqft RM1,253 PSF
RM1,080,000
Level 1
926 sqft RM1,167 PSF
RM520,000
Level 2
936 sqft RM555 PSF
RM510,000
Level 2
958 sqft RM532 PSF
RM540,000
Level 2
958 sqft RM564 PSF
RM530,000
Level 2
969 sqft RM547 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM540,000

RM564 psf

Median transaction price

Kristal Point
© OpenStreetMap · CARTO

Jalan Sultan Azlan Shah, Krystal Point Corporate Park, 11900 Bayan Lepas, Pulau Pinang, Malaysia

Maps

Kristal Point in Barat Daya, Penang recorded 7 subsale transactions between 2021 and 2026, sized between 925 and 974 sqft, with a median price of RM540K and a median price per square foot (PSF) of RM564.

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

Price remained flat, and PSF growth was PSF remained flat. The median price is RM540K, with most transactions falling within a stable range of RM510K to RM866K, and a typical market range of RM510K to RM769K.

Most transactions involved shop unit/retail lot, with minimal variety in property types.

Price per square foot shows a median of RM564, though individual units vary from RM219 to RM908 in the core range. The broader market spans RM482.93 to RM644.43, indicating diverse property characteristics. A wider spread (IQR: RM161.50) and deviation (MAD: RM344) 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.