| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 15
|
RM1,168,000
|
RM792
|
1,475 sqft
|
|
|
|
Level 4
|
RM960,000
|
RM651
|
1,475 sqft
|
|
|
|
Level 8
|
RM980,000
|
RM665
|
1,475 sqft
|
|
|
|
Level 14
|
RM1,000,000
|
RM678
|
1,475 sqft
|
|
|
|
Level 4
|
RM948,000
|
RM643
|
1,475 sqft
|
|
|
Level 16
|
RM1,290,000
|
RM832
|
1,550 sqft
|
|
|
|
Level 11
|
RM990,000
|
RM630
|
1,572 sqft
|
|
|
|
Level 11
|
RM1,100,000
|
RM700
|
1,572 sqft
|
|
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The Light Linear
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 Georgetown
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Market Snapshot
ResidentialRM995,000
RM671 psfMedian transaction price
Does THE LIGHT LINEAR rent out well?
Gross yield, median rent and sale psf — worked out from transacted prices and asking rents.
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Jln Pantai Sinaran, 11700 Gelugor, Pulau Pinang, Malaysia
MapsThe Light Linear in Timur Laut, Penang recorded 8 subsale transactions in 2022, with a median price of RM995K and a median price per square foot (PSF) of RM671.
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 RM995K, with most transactions falling within a stable range of RM948K to RM1.11 million, and a typical market range of RM948K to RM1.07 million.
Most transactions involved condominium/apartment, with minimal variety in property types.
The median PSF stands at RM671, with core pricing between RM602 and RM741. Market pricing typically extends from RM630.84 to RM711.84, reflecting moderate variation in unit pricing. With an IQR of RM81.00 and MAD of RM69, the PSF demonstrates reasonable consistency across the market.
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.