PJS 11 Bandar Sunway

Bandar Sunway, 47500 Petaling Jaya, Selangor, Malaysia

Property Transactions

3 subsales grouped by size

Median
RM 180,000
PSF
RM 279
Price Size
Period
transactions middle 50% (P25–P75)
550 sqft
LC Flat
RM 565,000
Level 23
570 sqft · RM 990 PSF
650 sqft
LC Flat
RM 160,000
Level 3
646 sqft · RM 248 PSF
RM 180,000
Level 2
646 sqft · RM 279 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM 180,000

RM 279 psf

Median transaction price

RM 2,500,000

RM 1,043 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 Low-Cost Flat properties subsale transactions between 2021 and 2026, with a median price of RM 180K and a median price per square foot (PSF) of RM 279.

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 180K, with most transactions falling within a stable range of RM 160K to RM 366K, and a typical market range of RM 160K to RM 565K.

Within the Low-Cost Flat category, terraced factory/warehouse dominated the market, with high diversity across multiple property types.

Price per square foot shows a median of RM 279, though individual units vary from RM 0 to RM 622 in the core range. The broader market spans RM 4.08 to RM 553.34, indicating diverse property characteristics. A wider spread (IQR: RM 549.25) and deviation (MAD: RM 343) indicate significant PSF variations, likely due to diverse property types or conditions.

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.