Fortune Court

Farlim, 11500 Air Itam, Penang, Malaysia

Property Transactions

8 subsales found

Median
RM360,000
PSF
RM359
Price Size
Period
transactions middle 50% (P25–P75)
RM335,000
Level 5
1,023 sqft RM328 PSF
RM385,000
Level 3
1,023 sqft RM377 PSF
RM800,000
Level 1
1,023 sqft RM782 PSF
RM330,000
Level 3
1,023 sqft RM323 PSF
RM380,000
Level 4
1,023 sqft RM372 PSF
RM385,000
Level 3
1,023 sqft RM377 PSF
RM319,000
Level 5
1,023 sqft RM312 PSF
RM340,000
Level 5
980 sqft RM347 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM340,000

RM347 psf

Median transaction price

Fortune Court
© OpenStreetMap · CARTO

Fortune Court, Farlim, 11500 Air Itam, Penang, Malaysia

Maps

Fortune Court in Timur Laut, Penang recorded 8 subsale transactions between 2021 and 2026, sized between 975 and 1,024 sqft, with a median price of RM360K and a median price per square foot (PSF) of RM359.

This area contains both residential and commercial properties. View 7 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 RM360K, with most transactions falling within a stable range of RM319K to RM510K, and a typical market range of RM319K to RM529K.

Most transactions involved flats, though some variety exists in the market.

Price per square foot shows a median of RM359, though individual units vary from RM214 to RM505 in the core range. The broader market spans RM243.61 to RM475.11, indicating diverse property characteristics. A wider spread (IQR: RM231.50) and deviation (MAD: RM146) 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.