PJS 11 Bandar Sunway

Bandar Sunway, 47500 Petaling Jaya, Selangor, Malaysia

Property Transactions

5 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM650,000
Jalan PJS 11/10
1,033 sqft RM629 PSF
RM180,000
Level 2
646 sqft RM279 PSF
RM600,000
Jalan PJS 11/12
1,033 sqft RM581 PSF
RM1,800,000
Jalan PJS 11/3
2,809 sqft RM641 PSF
RM1,800,000
Jalan PJS 11/24
2,530 sqft RM712 PSF
Legend Recent Highest Price Highest PSF

Selling in PJS 11 Bandar Sunway? Homes here sold for a median of RM650,000.

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Market Snapshot

RM600,000

RM581 psf

Median transaction price

RM1,800,000

RM676 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 5 subsale transactions in 2021, with a median price of RM650K and a median price per square foot (PSF) of RM629.

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 RM650K, with most transactions falling within a stable range of RM180K to RM1.32 million, and a typical market range of RM180K to RM1.57 million.

Most transactions involved terraced factory/warehouse, with high diversity across multiple property types.

Price per square foot shows a median of RM629, though individual units vary from RM478 to RM780 in the core range. The broader market spans RM354.41 to RM903.66, indicating diverse property characteristics. The spread of RM549.25 (IQR) and deviation of RM151 (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.