Skyview Residence

1A, Lintang Penawar 3, Taman Ara, 11600 Jelutong, Pulau Pinang, Malaysia

Property Transactions

8 subsales grouped by size

Median
RM 756,500
PSF
RM 635
Price Size
Period
transactions middle 50% (P25–P75)
1,100 sqft
Condo
RM 780,000
Level 28
1,087 sqft · RM 717 PSF
RM 745,000
Level 34
1,087 sqft · RM 685 PSF
RM 710,000
Level 35
1,087 sqft · RM 653 PSF
1,250 sqft
Condo
RM 700,000
Level 42
1,238 sqft · RM 565 PSF
RM 748,000
Level 14
1,249 sqft · RM 599 PSF
RM 785,000
Level 39
1,249 sqft · RM 629 PSF
RM 765,000
Level 24
1,249 sqft · RM 613 PSF
RM 800,000
Level 34
1,249 sqft · RM 641 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 756,500

RM 635 psf

Median transaction price

Low

Rental Yield Data

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Skyview Residence
© OpenStreetMap · CARTO

1A, Lintang Penawar 3, Taman Ara, 11600 Jelutong, Pulau Pinang, Malaysia

Maps

Skyview Residence in Timur Laut, Penang recorded 8 subsale transactions in 2024, with a median price of RM 757K and a median price per square foot (PSF) of RM 635.

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 RM 757K, with most transactions falling within a stable range of RM 723K to RM 790K, and a typical market range of RM 716K to RM 797K.

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

For price per square foot, the median is RM 635, with most transactions between RM 590 and RM 680. The usual range is RM 614.71 to RM 654.71, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 40.00 and an average deviation (MAD) of RM 45 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.