SS 2 Petaling Jaya

SS 2, Petaling Jaya, Selangor, Malaysia

Property Transactions

3 subsales grouped by size

Median
RM 1,150,000
PSF
RM 364
Price Size
Period
transactions middle 50% (P25–P75)
3,100 sqft
Semi-D
RM 1,135,000
Jalan SS 2/4B
3,116 sqft · RM 364 PSF
RM 1,150,000
Jalan SS 2/4B
3,116 sqft · RM 369 PSF
5,800 sqft
Semi-D
RM 1,950,000
Jalan SS 2/2
5,785 sqft · RM 337 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM 1,150,000

RM 364 psf

Median transaction price

RM 3,179,000

RM 1,974 psf

Median transaction price

SS 2 Petaling Jaya
© OpenStreetMap · CARTO

SS 2, Petaling Jaya, Selangor, Malaysia

Maps

SS 2 Petaling Jaya in Petaling, Selangor recorded 3 Single Storey Semi-D properties subsale transactions between 2021 and 2026, with a median price of RM 1.15 million and a median price per square foot (PSF) of RM 364.

This area contains both residential and commercial properties. View 296 residential properties or 40 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 1.15 million, with most transactions falling within a stable range of RM 1.14 million to RM 1.53 million, and a typical market range of RM 1.14 million to RM 1.41 million.

Within the Single Storey Semi-D category, 2 - 2 1/2 storey terraced dominated the market, with moderate diversity in property types available.

For price per square foot, the median is RM 364, with most transactions between RM 350 and RM 378. The usual range is RM 280.76 to RM 447.76, showing that most units are priced quite close to each other. With an IQR of RM 167.00 and MAD of RM 14, 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.