Seksyen 33, Shah Alam
Seksyen 33, 40400 Shah Alam, Selangor, Malaysia
Seksyen 33, 40400 Shah Alam, Selangor, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Salung 33/26
|
RM1,050,000
|
RM387
|
2,713 sqft
|
|
New Launches in Selangor
View allPosts about Seksyen 33, Shah Alam
No posts about Seksyen 33, Shah Alam yet. Be the first to share what’s happening here.
Nearby areas in Kelang
Alam Impian
Taman Sentosa, Klang
Kota Kemuning
Pulau Indah
Seksyen 29, Shah Alam
Seksyen 30, Shah Alam
Bandar Putera 2
Bandar Puteri, Klang
Kota Bayuemas
Bandar Botanic, Klang
Bandar Bukit Tinggi
Taman Sri Muda, Sek. 25 Shah Alam
Seksyen 33, Shah Alam
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Kelang
Property News
More property news →
Seksyen 33, 40400 Shah Alam, Selangor, Malaysia
MapsSeksyen 33, Shah Alam in Klang, Selangor recorded 1 Terraced Factory properties subsale transactions between 2021 and 2026, with a median price of RM1.05 million and a median price per square foot (PSF) of RM387.
This area consists exclusively of commercial properties, with no residential listings recorded.
Price remained flat, and PSF growth was PSF remained flat.
Within the Terraced Factory category, semi-detached factory/warehouse dominated the market, with moderate diversity in property types available.
For price per square foot, the median is RM387, with most transactions between RM387 and RM387. The usual range is RM345.85 to RM428.35, showing that most units are priced quite close to each other. With an IQR of RM82.50 and MAD of RM0, the PSF demonstrates reasonable consistency across the market.
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.