PJS 9 Bandar Sunway

64a, Jalan PJS 11/7, Pjs 11, 47500 Subang Jaya, Selangor, Malaysia

Property Transactions

18 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,700 sqft
2-Sty Terrace
RM850,000
Jalan PJS 9/22
1,722 sqft · RM494 PSF
RM900,000
Jalan PJS 9/22
1,722 sqft · RM523 PSF
RM900,000
Jalan PJS 9/20
1,722 sqft · RM523 PSF
RM940,000
Jalan PJS 9/22
1,722 sqft · RM546 PSF
RM1,000,000
Jalan PJS 9/28
1,722 sqft · RM581 PSF
RM900,000
Jalan PJS 9/22
1,722 sqft · RM523 PSF
+12 more
Legend Recent Highest Price Highest PSF

Selling in PJS 9 Bandar Sunway? Homes here sold for a median of RM900,000.

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Market Snapshot

Residential

RM900,000

RM523 psf

Median transaction price

PJS 9 Bandar Sunway
© OpenStreetMap · CARTO

64a, Jalan PJS 11/7, Pjs 11, 47500 Subang Jaya, Selangor, Malaysia

Maps

PJS 9 Bandar Sunway in Petaling, Selangor recorded 18 subsale transactions between 2021 and 2026, sized between 1,675 and 1,724 sqft, with a median price of RM900K and a median price per square foot (PSF) of RM523.

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 RM900K, with most transactions falling within a stable range of RM835K to RM965K, and a typical market range of RM826K to RM974K.

Most transactions involved 2 - 2 1/2 storey terraced, though some variety exists in the market.

For price per square foot, the median is RM523, with most transactions between RM485 and RM560. The usual range is RM474.96 to RM570.21, showing that most units are priced quite close to each other. With an IQR of RM95.25 and MAD of RM38, the PSF demonstrates reasonable consistency across the market.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.