Sek. 11 Shah Alam
Seksyen 11, 40100 Shah Alam, Selangor, Malaysia
Seksyen 11, 40100 Shah Alam, Selangor, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Silat 11/3
|
RM 2,200,000
|
RM 278
|
7,906 sqft
|
|
|
Jalan 11/3A
|
RM 1,200,000
|
RM 144
|
8,344 sqft
|
|
|
Tarian 11/2
|
RM 2,500,000
|
RM 291
|
8,578 sqft
|
|
|
Jalan 11/4B
|
RM 1,600,000
|
RM 185
|
8,638 sqft
|
|
|
Jalan 11/3
|
RM 2,000,000
|
RM 192
|
10,409 sqft
|
|
|
Jalan Silat Cimande 11/3D
|
RM 1,800,000
|
RM 168
|
10,701 sqft
|
|
|
Jalan Tarian 11/2
|
RM 1,700,000
|
RM 152
|
11,197 sqft
|
|
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Market Snapshot
ResidentialRM 1,800,000
RM 185 psfMedian transaction price
Seksyen 11, 40100 Shah Alam, Selangor, Malaysia
MapsSek. 11 Shah Alam in Petaling, Selangor recorded 7 Bungalow properties subsale transactions between 2021 and 2026, with a median price of RM 1.80 million and a median price per square foot (PSF) of RM 185.
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 1.80 million, with most transactions falling within a stable range of RM 1.41 million to RM 2.19 million, and a typical market range of RM 1.39 million to RM 2.21 million.
Within the Bungalow category, 2 - 2 1/2 storey terraced dominated the market, with high diversity across multiple property types.
Price per square foot shows a median of RM 185, though individual units vary from RM 130 to RM 240 in the core range. The broader market spans RM 132.48 to RM 237.98, indicating diverse property characteristics. A wider spread (IQR: RM 105.50) and deviation (MAD: RM 55) 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.