Bandar Baru Air Itam

Farlim, Air Itam, Penang, Malaysia

Property Transactions

8 subsales grouped by size · LC Flat →

Median
RM 245,000
PSF
RM 351
Price Size
Period
transactions middle 50% (P25–P75)
500 sqft
LC Flat
RM 145,000
Level 2
517 sqft · RM 281 PSF
RM 135,000
Level 8
517 sqft · RM 261 PSF
RM 100,000
Level 14
512 sqft · RM 195 PSF
650 sqft
Flat
RM 210,000
Level 09
646 sqft · RM 325 PSF
700 sqft
Flat
RM 280,000
Level 5
689 sqft · RM 406 PSF
RM 290,000
Level 8
689 sqft · RM 421 PSF
2,200 sqft
2-Sty Terrace
RM 828,000
Lorong Semarak Api 5
2,196 sqft · RM 377 PSF
3,750 sqft
Semi-D
RM 1,580,000
Lorong Semarak Api 4
3,767 sqft · RM 419 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 245,000

RM 351 psf

Median transaction price

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Farlim, Air Itam, Penang, Malaysia

Maps

Bandar Baru Air Itam in Timur Laut, Penang recorded 8 subsale transactions in 2026, with a median price of RM 245K and a median price per square foot (PSF) of RM 351.

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 RM 245K, with most transactions falling within a stable range of RM 100K to RM 725K, and a typical market range of RM 189K to RM 301K.

Most transactions involved low-cost flat, with high diversity across multiple property types.

Price per square foot shows a median of RM 351, though individual units vary from RM 272 to RM 430 in the core range. The broader market spans RM 307.50 to RM 394.50, indicating diverse property characteristics. The spread of RM 87.00 (IQR) and deviation of RM 79 (MAD) suggest moderate price variations reflecting different property features.

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.