Dua Residensi
Jalan Teluk Kumbar, 11920 Bayan Lepas, Pulau Pinang, Malaysia
Jalan Teluk Kumbar, 11920 Bayan Lepas, Pulau Pinang, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 13
|
RM250,000
|
RM294
|
850 sqft
|
|
|
|
Level 26
|
RM250,000
|
RM294
|
850 sqft
|
|
|
|
Level 6
|
RM275,000
|
RM323
|
850 sqft
|
|
|
|
Level 25
|
RM275,000
|
RM323
|
850 sqft
|
|
|
|
Level 21
|
RM275,000
|
RM323
|
850 sqft
|
|
|
|
Level 14
|
RM250,000
|
RM294
|
850 sqft
|
|
|
|
Level 15
|
RM275,000
|
RM323
|
850 sqft
|
|
Selling in Dua Residensi? Homes here sold for a median of RM275,000.
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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 9
Market Snapshot
ResidentialRM275,000
RM323 psfMedian transaction price
Dua Residensi, Jalan Teluk Kumbar, 11920 Bayan Lepas, Pulau Pinang, Malaysia
MapsDua Residensi in Barat Daya, Penang recorded 8 subsale transactions in 2023, with a median price of RM275K and a median price per square foot (PSF) of RM323.
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 RM275K, with most transactions falling within a stable range of RM250K to RM300K, and a typical market range of RM261K to RM289K.
Most transactions involved flats, with minimal variety in property types.
For price per square foot, the median is RM323, with most transactions between RM308 and RM338. The usual range is RM308.90 to RM337.90, showing that most units are priced quite close to each other. A typical spread (IQR) of RM29.00 and an average deviation (MAD) of RM15 indicate a highly stable PSF trend across properties.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.