USJ 1

Subang Jaya, Selangor, Malaysia

Property Transactions

2 subsales found

Median
RM888,500
PSF
RM393
Price Size
Period
transactions middle 50% (P25–P75)
RM879,000
Level 5
2,260 sqft RM389 PSF
RM898,000
Level 06
2,260 sqft RM397 PSF
Legend Recent Highest Price Highest PSF

Selling in USJ 1? Homes here sold for a median of RM888,500.

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 USJ 1

What’s happening in USJ 1?

No posts about USJ 1 yet. Be the first to share what’s happening here.

Market Snapshot

RM535,500

RM458 psf

Median transaction price

RM888,500

RM393 psf

Median transaction price

USJ 1
© OpenStreetMap · CARTO

Usj 1, Subang Jaya, Selangor, Malaysia

Maps

USJ 1 in Petaling, Selangor recorded 2 subsale transactions between 2021 and 2026, sized between 2,225 and 2,274 sqft, with a median price of RM889K and a median price per square foot (PSF) of RM393.

This area contains both residential and commercial properties. View 2 residential properties or 21 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM889K, with most transactions falling within a stable range of RM879K to RM898K, and a typical market range of RM879K to RM898K.

Most transactions involved shop unit/retail lot, with minimal variety in property types.

For price per square foot, the median is RM393, with most transactions between RM389 and RM397. The usual range is RM81.57 to RM704.57, showing that most units are priced quite close to each other. With an IQR of RM623.00 and MAD of RM4, 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.