Skycube Residence Condominium

Lintang S.Ara 7, Sungai Ara, 11900 Bayan Lepas, Pulau Pinang, Malaysia

Property Transactions

9 subsales found

Median
RM650,000
PSF
RM507
Price Size
Period
transactions middle 50% (P25–P75)
RM700,000
Level 2
1,152 sqft RM608 PSF
RM650,000
Level 6
1,281 sqft RM507 PSF
RM620,000
Level 25
1,281 sqft RM484 PSF
RM660,000
Level 20
1,238 sqft RM533 PSF
RM650,000
Level 18
1,281 sqft RM507 PSF
RM575,000
Level 25
1,281 sqft RM449 PSF
RM700,000
Level 8
1,152 sqft RM608 PSF
RM680,000
Level 27
1,238 sqft RM549 PSF
RM600,000
Level 9
1,195 sqft RM502 PSF
Legend Recent Highest Price Highest PSF

Selling in Skycube Residence Condominium? Homes here sold for a median of RM650,000.

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Market Snapshot

Residential

RM650,000

RM507 psf

Median transaction price

Low

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Skycube Residence
© OpenStreetMap · CARTO

Skycube Residence Condominium, Lintang S.Ara 7, Sungai Ara, 11900 Bayan Lepas, Pulau Pinang, Malaysia

Maps

Skycube Residence Condominium in Barat Daya, Penang recorded 9 subsale transactions in 2022, with a median price of RM650K and a median price per square foot (PSF) of RM507.

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 RM650K, with most transactions falling within a stable range of RM609K to RM691K, and a typical market range of RM617K to RM683K.

Most transactions involved condominium/apartment, with minimal variety in property types.

For price per square foot, the median is RM507, with most transactions between RM457 and RM558. The usual range is RM482.58 to RM532.33, showing that most units are priced quite close to each other. A typical spread (IQR) of RM49.75 and an average deviation (MAD) of RM50 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.