Sek. 3. Shah Alam

Seksyen 3, 40000 Shah Alam, Selangor, Malaysia

Property Transactions

6 subsales grouped by size · Bungalow →

Median
RM 1,085,000
PSF
RM 178
1,900 sqft
2-Sty Terrace
RM 750,000
Jalan Beringin 3/13
1,905 sqft · RM 394 PSF
RM 630,000
Jalan Beringin 3/13
1,905 sqft · RM 331 PSF
7,300 sqft
Bungalow
RM 970,000
Jalan Kemuning 3/4
7,301 sqft · RM 133 PSF
7,600 sqft
Bungalow
RM 1,350,000
Jalan Jati 3/6
7,604 sqft · RM 178 PSF
9,250 sqft
Bungalow
RM 1,350,000
Jalan Pulai 3/4A
9,241 sqft · RM 146 PSF
9,300 sqft
Bungalow
RM 1,200,000
Jalan Kemuning 3/4
9,318 sqft · RM 129 PSF
Legend Recent Highest Price Highest PSF

Market Snapshot

Residential

RM 1,085,000

RM 162 psf

Median transaction price

Sek. 3. Shah Alam
© OpenStreetMap · CARTO

Seksyen 3, 40000 Shah Alam, Selangor, Malaysia

Maps

Sek. 3. Shah Alam in Petaling, Selangor recorded 6 subsale transactions between 2021 and 2026, with a median price of RM 1.09 million and a median price per square foot (PSF) of RM 178.

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 1.09 million, with most transactions falling within a stable range of RM 820K to RM 1.35 million, and a typical market range of RM 831K to RM 1.34 million.

Most transactions involved detached, though some variety exists in the market.

The median PSF stands at RM 178, with core pricing between RM 147 and RM 209. Market pricing typically extends from RM 118.79 to RM 236.29, reflecting moderate variation in unit pricing. The spread of RM 117.50 (IQR) and deviation of RM 31 (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.