Sunsuria Forum - Bandar Setia Alam

D-G-03A, No 1, Jln Setia Dagang AL U13/AL, Setia Alam, 40170 Shah Alam, Selangor, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

5 subsales grouped by size · Serviced Apt →

Median
RM 560,000
PSF
RM 697
450 sqft
SOHO
RM 320,000
Level 22
431 sqft · RM 743 PSF
RM 315,000
Level 19
452 sqft · RM 697 PSF
900 sqft
Serviced Apt
RM 600,000
Level 18
883 sqft · RM 680 PSF
RM 640,000
Level 43
883 sqft · RM 725 PSF
1,000 sqft
Serviced Apt
RM 560,000
Level 23
1,023 sqft · RM 548 PSF
Legend Recent Highest Price Highest PSF
Average

Rental Yield Data

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Sunsuria Forum - Bandar Setia Alam
© OpenStreetMap · CARTO

D-G-03A, No 1, Jln Setia Dagang AL U13/AL, Setia Alam, 40170 Shah Alam, Selangor, Malaysia

Maps

Sunsuria Forum - Bandar Setia Alam in Petaling, Selangor recorded 5 subsale transactions between 2021 and 2026, with a median price of RM 560K and a median price per square foot (PSF) of RM 697.

This area contains both residential and commercial properties. View 3 residential properties or 2 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 560K, with most transactions falling within a stable range of RM 480K to RM 640K, and a typical market range of RM 420K to RM 640K.

Most transactions involved serviced apartment, though some variety exists in the market.

For price per square foot, the median is RM 697, with most transactions between RM 669 and RM 725. The usual range is RM 674.28 to RM 719.28, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 45.00 and an average deviation (MAD) of RM 28 indicate a highly stable PSF trend across properties.

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.