SS 21 Damansara Utama

Damansara Utama, 47400 Petaling Jaya, Selangor, Malaysia

Property Transactions

2 subsales grouped by size

Median
RM2,285,000
PSF
RM1,415
Price Size
Period
transactions middle 50% (P25–P75)
1,600 sqft
2-Sty Terrace
RM3,370,000
Jalan SS 21/28
1,593 sqft · RM2,115 PSF
1,700 sqft
2-Sty Terrace
RM1,200,000
Jalan SS 21/11
1,679 sqft · RM715 PSF
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Market Snapshot

RM2,285,000

RM1,415 psf

Median transaction price

RM6,000,000

RM3,636 psf

Median transaction price

SS 21 Damansara Utama
© OpenStreetMap · CARTO

Damansara Utama, 47400 Petaling Jaya, Selangor, Malaysia

Maps

SS 21 Damansara Utama in Petaling, Selangor recorded 2 Double Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM2.29 million and a median price per square foot (PSF) of RM1,415.

This area contains both residential and commercial properties. View 2 residential properties or 1 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM2.29 million, with most transactions falling within a stable range of RM1.20 million to RM3.37 million, and a typical market range of RM1.20 million to RM3.37 million.

Within the Double Storey Terraced category, 2 - 2 1/2 storey terraced dominated the market, though some variety exists in the market.

Price per square foot shows a median of RM1,415, though individual units vary from RM715 to RM2,115 in the core range. The broader market spans RM684.53 to RM2,145.53, indicating diverse property characteristics. A wider spread (IQR: RM1,461.00) and deviation (MAD: RM700) 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.