| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong Semarak Api 2
|
RM212,000
|
RM309
|
687 sqft
|
|
|
|
Jalan Semarak Api
|
RM300,000
|
RM435
|
690 sqft
|
|
|
|
Jalan Semarak Api
|
RM350,000
|
RM507
|
690 sqft
|
|
|
|
Jalan Semarak Api 1
|
RM250,000
|
RM364
|
687 sqft
|
|
|
|
Jalan Semarak Api
|
RM300,000
|
RM435
|
689 sqft
|
|
|
|
Jalan Semarak Api
|
RM345,000
|
RM502
|
687 sqft
|
|
|
|
Jalan Semarak Api
|
RM200,000
|
RM291
|
687 sqft
|
|
|
|
Jalan Semarak Api
|
RM300,000
|
RM435
|
690 sqft
|
|
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PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in 13
Market Snapshot
ResidentialRM300,000
RM435 psfMedian transaction price
Farlim, Air Itam, Penang, Malaysia
MapsBandar Baru Air Itam in Timur Laut, Penang recorded 8 Cluster House properties subsale transactions between 2021 and 2026, with a median price of RM300K and a median price per square foot (PSF) of RM435.
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 RM300K, with most transactions falling within a stable range of RM247K to RM350K, and a typical market range of RM244K to RM350K.
Within the Cluster House category, low-cost flat dominated the market, with high diversity across multiple property types.
The median PSF stands at RM435, with core pricing between RM359 and RM511. Market pricing typically extends from RM391.30 to RM478.30, reflecting moderate variation in unit pricing. The spread of RM87.00 (IQR) and deviation of RM76 (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.