USJ 1

Subang Jaya, Selangor, Malaysia

Property Transactions

2 subsales found

Median
RM884,000
PSF
RM387
Price Size
Period
transactions middle 50% (P25–P75)
RM874,000
Level 3
2,282 sqft RM383 PSF
RM894,000
Level 4
2,282 sqft RM392 PSF
Legend Recent Highest Price Highest PSF

Selling in USJ 1? Homes here sold for a median of RM884,000.

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 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

RM884,000

RM387 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 2,275 and 2,324 sqft, with a median price of RM884K and a median price per square foot (PSF) of RM387.

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 RM884K, with most transactions falling within a stable range of RM874K to RM894K, and a typical market range of RM874K to RM894K.

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

For price per square foot, the median is RM387, with most transactions between RM383 and RM392. The usual range is RM75.89 to RM698.89, 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.