Skypark@Cyberjaya (Sofo)

Jalan Teknokrat 1, Cyberjaya, 63000 Cyberjaya, Selangor, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

8 subsales found

Median
RM252,000
PSF
RM403
Period
transactions middle 50% (P25–P75)
RM204,000
Level 8
544 sqft RM375 PSF
RM210,000
Level 10
544 sqft RM386 PSF
RM224,000
Level 14
556 sqft RM403 PSF
RM220,000
Level 5
544 sqft RM404 PSF
RM543,000
Level 13
1,564 sqft RM347 PSF
RM430,000
Level 18
887 sqft RM485 PSF
RM355,000
Level 9
544 sqft RM653 PSF
RM280,000
Level 12
929 sqft RM301 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM224,000

RM403 psf

Median transaction price

Skypark@Cyberjaya (Sofo)
© OpenStreetMap · CARTO

Jalan Teknokrat 1, Cyberjaya, 63000 Cyberjaya, Selangor, Malaysia

Maps

Skypark@Cyberjaya (Sofo) in Sepang, Selangor recorded 8 subsale transactions between 2021 and 2026, with a median price of RM252K and a median price per square foot (PSF) of RM403.

This area contains both residential and commercial properties. View 1 residential properties or 7 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM252K, with most transactions falling within a stable range of RM207K to RM297K, and a typical market range of RM204K to RM330K.

Most transactions involved soho/sofo/sovo, with moderate diversity in property types available.

For price per square foot, the median is RM403, with most transactions between RM369 and RM436. The usual range is RM374.40 to RM430.65, showing that most units are priced quite close to each other. With an IQR of RM56.25 and MAD of RM34, the PSF demonstrates reasonable consistency across the market.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.