Seksyen 51/51A , Petaling Jaya

Seksyen 51, 46700 Petaling Jaya, Selangor, Malaysia

Property Transactions

4 subsales found

Median
RM6,200,000
PSF
RM388
Price Size
Period
transactions middle 50% (P25–P75)
RM6,500,000
Jalan 51A/227B
15,999 sqft RM406 PSF
RM6,200,000
Jalan 51A/227C
15,999 sqft RM388 PSF
RM5,700,000
Jalan 51A/227B
15,999 sqft RM356 PSF
RM6,200,000
Jalan 51A/227C
15,999 sqft RM388 PSF
Legend Recent Highest Price Highest PSF

Selling in Seksyen 51/51A , Petaling Jaya? Homes here sold for a median of RM6,200,000.

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Market Snapshot

Commercial

RM6,200,000

RM388 psf

Median transaction price

Seksyen 51/51A , Petaling Jaya
© OpenStreetMap · CARTO

Seksyen 51, 46700 Petaling Jaya, Selangor, Malaysia

Maps

Seksyen 51/51A , Petaling Jaya in Petaling, Selangor recorded 4 subsale transactions between 2021 and 2026, sized between 15,975 and 16,024 sqft, with a median price of RM6.20 million and a median price per square foot (PSF) of RM388.

This area consists exclusively of commercial properties, with no residential listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM6.20 million, with most transactions falling within a stable range of RM5.91 million to RM6.49 million, and a typical market range of RM5.70 million to RM6.50 million.

Most transactions involved semi-detached factory/warehouse, with high diversity across multiple property types.

For price per square foot, the median is RM388, with most transactions between RM370 and RM405. The usual range is RM166.51 to RM608.51, showing that most units are priced quite close to each other. With an IQR of RM442.00 and MAD of RM18, 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.