Cyberjaya (Garden Plaza-Service Apt)

Persiaran Harmoni, Cyber 3, 63000 Cyberjaya, Selangor, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

6 subsales grouped by size · Serviced Apt →

Median
RM 205,000
PSF
RM 465
Price Size
Period
transactions middle 50% (P25–P75)
450 sqft
Serviced Apt
RM 170,000
Level 9
441 sqft · RM 385 PSF
RM 210,000
Level 7
441 sqft · RM 476 PSF
RM 154,000
Level 7
441 sqft · RM 349 PSF
RM 300,000
Level 7
441 sqft · RM 680 PSF
RM 200,000
Level 13
441 sqft · RM 453 PSF
RM 250,000
Level 12
441 sqft · RM 566 PSF
Legend Recent Highest Price Highest PSF

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Cyberjaya (Garden Plaza-Service Apt)
© OpenStreetMap · CARTO

Persiaran Harmoni, Cyber 3, 63000 Cyberjaya, Selangor, Malaysia

Maps

Cyberjaya (Garden Plaza-Service Apt) in Sepang, Selangor recorded 6 subsale transactions in 2023, with a median price of RM 205K and a median price per square foot (PSF) of RM 465.

This area contains both residential and commercial properties. View 28 residential properties or 2 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 205K, with most transactions falling within a stable range of RM 156K to RM 254K, and a typical market range of RM 154K to RM 284K.

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

Price per square foot shows a median of RM 465, though individual units vary from RM 353 to RM 576 in the core range. The broader market spans RM 293.40 to RM 635.65, indicating diverse property characteristics. The spread of RM 342.25 (IQR) and deviation of RM 111 (MAD) suggest moderate price variations reflecting different property features.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.