SEK. 22, SHAH ALAM
Commercial Market
Median Price
RM 3,700,000
PSF Trends (2021-2025)
PROPERTY TYPES OVERVIEW
Semi-D Factory
2 properties
Median Price
RM 5,155,500
-16.2% CAGR
Median PSF
RM 452.00
+15.8% CAGR
Terraced Factory
2 properties
Median Price
RM 2,600,000
-3.8% CAGR
Median PSF
RM 961.00
-3.8% CAGR
Detached Factory
1 properties
Median Price
RM 558,800,000
Median PSF
RM 861.00
| Property Type | Properties | Median Price | Price CAGR | Median PSF | PSF CAGR | |
|---|---|---|---|---|---|---|
| Semi-D Factory | 2 |
RM 5,155,500
±456K MAD
|
-16.24% |
RM 452.00
±33 MAD
|
+15.75% | |
| Terraced Factory | 2 |
RM 2,600,000
±100K MAD
|
-3.77% |
RM 961.00
±37 MAD
|
-3.78% | |
| Detached Factory | 1 |
RM 558,800,000
|
- |
RM 861.00
|
- |
SEK. 22, SHAH ALAM in Petaling, Selangor recorded 0 subsale transactions between 2021 and 2025, with a median price of RM 3.70 million and a median price per square foot (PSF) of RM 705.
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 3.70 million, with most transactions falling within a stable range of RM 2.60 million to RM 4.80 million, and a typical market range of RM 2.56 million to RM 4.84 million.
Most transactions involved semi-detached factory/warehouse, with moderate diversity in property types available.
Price per square foot shows a median of RM 705, though individual units vary from RM 452 to RM 957 in the core range. The broader market spans RM 467.50 to RM 941.50, indicating diverse property characteristics. A wider spread (IQR: RM 474.00) and deviation (MAD: RM 253) 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.
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