Setia Pulau Mutiara
PULAU PINANG PULAU MUTIARA, 11000 Balik Pulau, Penang, Malaysia
PULAU PINANG PULAU MUTIARA, 11000 Balik Pulau, Penang, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Nuri 10
|
RM990,000
|
RM436
|
2,271 sqft
|
|
|
|
Jalan Nuri 9
|
RM990,000
|
RM438
|
2,260 sqft
|
|
|
Medan Nuri
|
RM1,880,000
|
RM690
|
2,723 sqft
|
|
|
Jalan Nuri 8
|
RM1,100,000
|
RM377
|
2,917 sqft
|
|
|
|
Jalan Nuri 8
|
RM940,000
|
RM322
|
2,917 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 12
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Market Snapshot
ResidentialRM990,000
RM437 psfMedian transaction price
PULAU PINANG PULAU MUTIARA, 11000 Balik Pulau, Penang, Malaysia
MapsSetia Pulau Mutiara in Barat Daya, Penang recorded 6 subsale transactions between 2021 and 2026, with a median price of RM990K and a median price per square foot (PSF) of RM437.
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 RM990K, with most transactions falling within a stable range of RM530K to RM1.45 million, and a typical market range of RM363K to RM1.62 million.
Most transactions involved 2 - 2 1/2 storey terraced, with high diversity across multiple property types.
Price per square foot shows a median of RM437, though individual units vary from RM322 to RM552 in the core range. The broader market spans RM277.68 to RM596.18, indicating diverse property characteristics. A wider spread (IQR: RM318.50) and deviation (MAD: RM115) 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.