Pinggiran USJ

Taman Pinggiran Usj, 40400 Subang Jaya, Selangor, Malaysia

Property Transactions

2 subsales grouped by size

Median
RM 176,500
PSF
RM 262
Price Size
Period
transactions middle 50% (P25–P75)
650 sqft
LC Flat
RM 153,000
Level 2
657 sqft · RM 233 PSF
700 sqft
LC Flat
RM 200,000
Level 1
689 sqft · RM 290 PSF
Legend Recent Highest Price Highest PSF

Posts about Pinggiran USJ

What’s happening in Pinggiran USJ?

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

Property News

More property news →

Market Snapshot

Residential

RM 176,500

RM 262 psf

Median transaction price

Loading map...

Pinggiran USJ, Taman Pinggiran Usj, 40400 Subang Jaya, Selangor, Malaysia

Maps

Pinggiran USJ in Petaling, Selangor recorded 2 Low-Cost Flat properties subsale transactions between 2021 and 2026, with a median price of RM 177K and a median price per square foot (PSF) of RM 262.

This area contains both residential and commercial properties. View 44 residential properties or 3 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 177K, with most transactions falling within a stable range of RM 153K to RM 200K, and a typical market range of RM 153K to RM 200K.

Within the Low-Cost Flat category, 2 - 2 1/2 storey terraced dominated the market, though some variety exists in the market.

The median PSF stands at RM 262, with core pricing between RM 233 and RM 290. Market pricing typically extends from RM 210.67 to RM 312.67, reflecting moderate variation in unit pricing. With an IQR of RM 102.00 and MAD of RM 29, 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.