Menara BHL
51-23, Jln Sultan Ahmad Shah, 10050 George Town, Pulau Pinang, Malaysia
51-23, Jln Sultan Ahmad Shah, 10050 George Town, Pulau Pinang, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 2
|
RM320,000
|
RM327
|
980 sqft
|
|
|
|
Level 2
|
RM350,000
|
RM357
|
980 sqft
|
|
|
|
Level 3
|
RM350,000
|
RM357
|
980 sqft
|
|
|
|
Level 2
|
RM350,000
|
RM357
|
980 sqft
|
|
|
|
Level 3
|
RM280,000
|
RM286
|
980 sqft
|
|
|
|
Level 2
|
RM300,000
|
RM306
|
980 sqft
|
|
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Menara BHL
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 12
Market Snapshot
CommercialRM335,000
RM342 psfMedian transaction price
Menara BHL, 51-23, Jln Sultan Ahmad Shah, 10050 George Town, Pulau Pinang, Malaysia
MapsMenara BHL in Barat Daya, Penang recorded 6 subsale transactions between 2021 and 2026, sized between 975 and 1,024 sqft, with a median price of RM335K and a median price per square foot (PSF) of RM342.
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 RM335K, with most transactions falling within a stable range of RM307K to RM350K, and a typical market range of RM280K to RM350K.
Most transactions involved shop unit/retail lot, with minimal variety in property types.
For price per square foot, the median is RM342, with most transactions between RM314 and RM370. The usual range is RM192.38 to RM491.63, showing that most units are priced quite close to each other. With an IQR of RM299.25 and MAD of RM28, 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.