Sek. 5 Petaling Jaya

Seksyen 5, 40000 Shah Alam, Selangor, Malaysia

Property Transactions

5 subsales grouped by size

Median
RM 2,350,000
PSF
RM 461
Price Size
1,550 sqft
2-Sty Terrace
RM 1,000,000
Jalan 5/58C
1,561 sqft · RM 641 PSF
2,000 sqft
2-Sty Terrace
RM 960,000
Jalan 5/44
1,991 sqft · RM 482 PSF
5,100 sqft
Semi-D
RM 2,350,000
Jalan Gasing
5,097 sqft · RM 461 PSF
7,700 sqft
Bungalow
RM 3,300,000
Jalan 5/8
7,701 sqft · RM 429 PSF
7,950 sqft
Bungalow
RM 2,800,000
Jalan Gasing
7,950 sqft · RM 352 PSF
Legend Recent Highest Price Highest PSF
Selling in Sek. 5 Petaling Jaya? Post a Free Ad

Market Snapshot

Residential

RM 2,350,000

RM 461 psf

Median transaction price

Loading map...

Seksyen 5, 40000 Shah Alam, Selangor, Malaysia

Maps

Sek. 5 Petaling Jaya in Petaling, Selangor recorded 5 subsale transactions between 2021 and 2026, with a median price of RM 2.35 million and a median price per square foot (PSF) of RM 461.

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

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 2.35 million, with most transactions falling within a stable range of RM 1.40 million to RM 3.30 million, and a typical market range of RM 1.60 million to RM 3.10 million.

Most transactions involved detached, with high diversity across multiple property types.

Price per square foot shows a median of RM 461, though individual units vary from RM 366 to RM 556 in the core range. The broader market spans RM 357.00 to RM 565.00, indicating diverse property characteristics. The spread of RM 208.00 (IQR) and deviation of RM 95 (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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.