Pusat Dagangan Dana 1

Jalan PJU 1a/46, Taman Putra Damai, 47301 Petaling Jaya, Selangor, Malaysia

Property Transactions

4 subsales grouped by size

Median
RM1,950,000
PSF
RM423
Price Size
Period
transactions middle 50% (P25–P75)
1,650 sqft
Office
RM500,000
Level 1
1,669 sqft · RM299 PSF
2,950 sqft
2-Sty Shop
RM1,300,000
Jalan PJU 1A/46
2,928 sqft · RM444 PSF
5,200 sqft
3-Sty Shop
RM2,600,000
Jalan PJU 1A/46
5,177 sqft · RM502 PSF
6,450 sqft
3-Sty Shop
RM2,600,000
Jalan PJU 1A/46
6,469 sqft · RM402 PSF
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Market Snapshot

Commercial

RM1,950,000

RM423 psf

Median transaction price

Pusat Dagangan Dana 1
© OpenStreetMap · CARTO

Jalan PJU 1a/46, Taman Putra Damai, 47301 Petaling Jaya, Selangor, Malaysia

Maps

Pusat Dagangan Dana 1 in Petaling, Selangor recorded 4 subsale transactions between 2021 and 2026, with a median price of RM1.95 million and a median price per square foot (PSF) of RM423.

This area contains both residential and commercial properties. View 1 residential properties or 16 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM1.95 million, with most transactions falling within a stable range of RM1.05 million to RM2.60 million, and a typical market range of RM1.46 million to RM2.44 million.

Most transactions involved 3 - 3 1/2 storey shop, with high diversity across multiple property types.

The median PSF stands at RM423, with core pricing between RM349 and RM497. Market pricing typically extends from RM350.95 to RM494.95, reflecting moderate variation in unit pricing. The spread of RM144.00 (IQR) and deviation of RM74 (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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.