Sek. 23, Shah Alam

Seksyen 23, 40300 Shah Alam, Selangor, Malaysia

Property Transactions

4 subsales grouped by size

Median
RM 4,350,000
PSF
RM 333
Price Size
Period
transactions middle 50% (P25–P75)
4,450 sqft
3-Sty Shop
RM 1,800,000
Pelabur A 23/A
4,456 sqft · RM 404 PSF
9,100 sqft
Factory
RM 4,700,000
Jalan 23/5
9,104 sqft · RM 516 PSF
16,600 sqft
Semi-D Factory
RM 4,000,000
Jalan 23/2
16,587 sqft · RM 241 PSF
57,050 sqft
Factory
RM 15,000,000
Jalan Pasaran 23/5
57,038 sqft · RM 263 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM 4,350,000

RM 333 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 2024, with a median price of RM 4.35 million and a median price per square foot (PSF) of RM 333.

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 4.35 million, with most transactions falling within a stable range of RM 1.80 million to RM 9.44 million, and a typical market range of RM 2.17 million to RM 6.53 million.

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

Price per square foot shows a median of RM 333, though individual units vary from RM 222 to RM 445 in the core range. The broader market spans RM 122.82 to RM 544.08, indicating diverse property characteristics. A wider spread (IQR: RM 421.25) and deviation (MAD: RM 112) indicate significant PSF variations, likely due to diverse property types or conditions.

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.