Taman Subang Permai

47500 Subang Jaya, Selangor, Malaysia

Property Transactions

4 subsales grouped by size · 2-Sty Terrace →

Median
RM 715,000
PSF
RM 552
Price Size
Period
transactions middle 50% (P25–P75)
1,150 sqft
2-Sty Terrace
RM 630,000
Jalan USJ 1/15
1,130 sqft · RM 557 PSF
1,200 sqft
2-Sty Terrace
RM 480,000
Jalan USJ 1/22
1,216 sqft · RM 395 PSF
1,250 sqft
2-Sty Terrace
RM 800,000
Jalan USJ 1/25
1,227 sqft · RM 652 PSF
4,100 sqft
3-Sty Shop
RM 2,250,000
Jalan USJ 1/19
4,123 sqft · RM 546 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM 630,000

RM 557 psf

Median transaction price

RM 2,250,000

RM 546 psf

Median transaction price

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Taman Subang Permai, 47500 Subang Jaya, Selangor, Malaysia

Maps

Taman Subang Permai in Petaling, Selangor recorded 4 subsale transactions between 2021 and 2026, with a median price of RM 715K and a median price per square foot (PSF) of RM 552.

This area contains both residential and commercial properties. View 27 residential properties or 6 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 715K, with most transactions falling within a stable range of RM 480K to RM 1.42 million, and a typical market range of RM 643K to RM 788K.

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

The median PSF stands at RM 552, with core pricing between RM 460 and RM 644. Market pricing typically extends from RM 482.71 to RM 620.71, reflecting moderate variation in unit pricing. The spread of RM 138.00 (IQR) and deviation of RM 92 (MAD) suggest moderate price variations reflecting different property features.

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.