Cyberjaya (Perdana Lake View)

Perdana Lakeview East, 63000 Cyberjaya, Selangor, Malaysia

Property Transactions

6 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,000 sqft
Condo
RM410,000
Level 8
1,012 sqft · RM405 PSF
RM613,000
Level 1
1,012 sqft · RM606 PSF
RM480,000
Level 3
1,012 sqft · RM474 PSF
RM600,000
Level 10
1,012 sqft · RM593 PSF
RM700,000
Level 6
1,023 sqft · RM685 PSF
RM525,000
Level 8
1,013 sqft · RM518 PSF
Legend Recent Highest Price Highest PSF

Selling in Cyberjaya (Perdana Lake View)? Homes here sold for a median of RM562,500.

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Market Snapshot

Residential

RM562,500

RM556 psf

Median transaction price

Cyberjaya (Perdana Lake View)
© OpenStreetMap · CARTO

Perdana Lakeview East, 63000 Cyberjaya, Selangor, Malaysia

Maps

Cyberjaya (Perdana Lake View) in Sepang, Selangor recorded 6 subsale transactions between 2021 and 2026, sized between 975 and 1,024 sqft, with a median price of RM563K and a median price per square foot (PSF) of RM556.

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 RM563K, with most transactions falling within a stable range of RM468K to RM657K, and a typical market range of RM410K to RM700K.

Most transactions involved 2 - 2 1/2 storey terraced, with high diversity across multiple property types.

The median PSF stands at RM556, with core pricing between RM464 and RM648. Market pricing typically extends from RM516.41 to RM594.91, reflecting moderate variation in unit pricing. The spread of RM78.50 (IQR) and deviation of RM92 (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.