Sunway South Quay-PJS 9 Bandar Sunway

Jalan Tasik Selatan, Bandar Sunway, 47500 Subang Jaya, Selangor, Malaysia

Property Transactions

1 subsales grouped by size

Median
RM1,200,000
PSF
RM664

Property Type

Price Size
Period
transactions middle 50% (P25–P75)
1,800 sqft
Condo
RM1,200,000
Level 14
1,808 sqft · RM664 PSF
Legend Recent Highest Price Highest PSF

Selling in Sunway South Quay-PJS 9 Bandar Sunway? Homes here sold for a median of RM1,200,000.

Free to list, about two minutes, and the buyers reading this page will see it.

List your property free

New Launches in Selangor

View all

Posts about Sunway South Quay-PJS 9 Bandar Sunway

What’s happening in Sunway South Quay-PJS 9 Bandar Sunway?

No posts about Sunway South Quay-PJS 9 Bandar Sunway yet. Be the first to share what’s happening here.

Sunway South Quay-PJS 9 Bandar Sunway
© OpenStreetMap · CARTO

Jalan Tasik Selatan, Bandar Sunway, 47500 Subang Jaya, Selangor, Malaysia

Maps

Sunway South Quay-PJS 9 Bandar Sunway in Petaling, Selangor recorded 1 subsale transactions between 2021 and 2026, sized between 1,775 and 1,824 sqft, with a median price of RM1.20 million and a median price per square foot (PSF) of RM664.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat.

Most transactions involved detached, though some variety exists in the market.

For price per square foot, the median is RM664, with most transactions between RM664 and RM664. The usual range is RM568.09 to RM759.09, showing that most units are priced quite close to each other. With an IQR of RM191.00 and MAD of RM0, 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.