SS 2 Petaling Jaya

SS 2, Petaling Jaya, Selangor, Malaysia

Property Transactions

3 subsales grouped by size

Median
RM 780,000
PSF
RM 546
Price Size
Period
transactions middle 50% (P25–P75)
1,050 sqft
Condo
RM 570,000
Level 21
1,044 sqft · RM 546 PSF
1,450 sqft
Condo
RM 780,000
Level 3
1,442 sqft · RM 541 PSF
1,800 sqft
Condo
RM 1,750,000
Level 13
1,798 sqft · RM 974 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM 780,000

RM 546 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 Condo/Apartment properties subsale transactions between 2021 and 2026, with a median price of RM 780K and a median price per square foot (PSF) of RM 546.

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 780K, with most transactions falling within a stable range of RM 570K to RM 1.29 million, and a typical market range of RM 570K to RM 1.04 million.

Within the Condo/Apartment category, 2 - 2 1/2 storey terraced dominated the market, with moderate diversity in property types available.

Price per square foot shows a median of RM 546, though individual units vary from RM 343 to RM 749 in the core range. The broader market spans RM 462.42 to RM 629.42, indicating diverse property characteristics. A wider spread (IQR: RM 167.00) and deviation (MAD: RM 203) indicate significant PSF variations, likely due to diverse property types or conditions.

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.