PJS 11 Bandar Sunway

Bandar Sunway, 47500 Petaling Jaya, Selangor, Malaysia

Property Transactions

3 subsales grouped by size

Median
RM 6,250,000
PSF
RM 728
Price Size
7,800 sqft
Semi-D Factory
RM 6,250,000
Jalan PJS 11/18
7,777 sqft · RM 804 PSF
10,050 sqft
Semi-D Factory
RM 5,000,000
Jalan PJS 11/20
10,059 sqft · RM 497 PSF
13,550 sqft
Semi-D Factory
RM 9,880,000
Jalan PJS 11/8
13,570 sqft · RM 728 PSF
Legend Recent Highest Price Highest PSF
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Market Snapshot

RM 600,000

RM 516 psf

Median transaction price

RM 6,250,000

RM 728 psf

Median transaction price

PJS 11 Bandar Sunway
© OpenStreetMap · CARTO

Bandar Sunway, 47500 Petaling Jaya, Selangor, Malaysia

Maps

PJS 11 Bandar Sunway in Petaling, Selangor recorded 3 Semi-D Factory properties subsale transactions between 2021 and 2026, with a median price of RM 6.25 million and a median price per square foot (PSF) of RM 728.

This area contains both residential and commercial properties. View 24 residential properties or 38 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 6.25 million, with most transactions falling within a stable range of RM 5.00 million to RM 8.32 million, and a typical market range of RM 5.33 million to RM 7.17 million.

Within the Semi-D Factory category, terraced factory/warehouse dominated the market, with high diversity across multiple property types.

The median PSF stands at RM 728, with core pricing between RM 598 and RM 859. Market pricing typically extends from RM 453.48 to RM 1,002.73, reflecting moderate variation in unit pricing. The spread of RM 549.25 (IQR) and deviation of RM 130 (MAD) suggest moderate price variations reflecting different property features.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.