Sek. 23, Shah Alam

Seksyen 23, 40300 Shah Alam, Selangor, Malaysia

Property Transactions

4 subsales grouped by size

Median
RM 4,850,000
PSF
RM 234
Price Size
Period
transactions middle 50% (P25–P75)
12,950 sqft
Semi-D Factory
RM 4,600,000
Jalan 23/11
12,971 sqft · RM 355 PSF
16,600 sqft
Semi-D Factory
RM 4,000,000
Jalan Modal 23/2
16,587 sqft · RM 241 PSF
22,850 sqft
Semi-D Factory
RM 5,200,000
Jalan Modal 23/2
22,841 sqft · RM 228 PSF
23,100 sqft
Semi-D Factory
RM 5,100,000
Jalan Modal 23/2
23,121 sqft · RM 221 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM 4,850,000

RM 234 psf

Median transaction price

Sek. 23, Shah Alam
© OpenStreetMap · CARTO

Seksyen 23, 40300 Shah Alam, Selangor, Malaysia

Maps

Sek. 23, Shah Alam in Petaling, Selangor recorded 4 subsale transactions in 2021, with a median price of RM 4.85 million and a median price per square foot (PSF) of RM 234.

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 RM 4.85 million, with most transactions falling within a stable range of RM 4.37 million to RM 5.20 million, and a typical market range of RM 4.00 million to RM 5.20 million.

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

Price per square foot shows a median of RM 234, though individual units vary from RM 180 to RM 289 in the core range. The broader market spans RM 23.78 to RM 445.03, indicating diverse property characteristics. The spread of RM 421.25 (IQR) and deviation of RM 55 (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.