Alam Idaman

22, Jln Budiman 22/3, Kampung Kebun Bunga, 40300 Shah Alam, Selangor, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

4 subsales grouped by size

Median
RM507,500
PSF
RM478
Price Size
Period
transactions middle 50% (P25–P75)
800 sqft
Serviced Apt
RM320,000
Level 21
818 sqft · RM391 PSF
950 sqft
Serviced Apt
RM395,000
Level 18
926 sqft · RM427 PSF
1,100 sqft
Shop
RM850,000
Level G
1,119 sqft · RM760 PSF
1,150 sqft
Shop
RM620,000
Level G
1,173 sqft · RM528 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM735,000

RM644 psf

Median transaction price

High

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Gross yield, median rent and sale psf — worked out from transacted prices and asking rents.

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22, Jln Budiman 22/3, Kampung Kebun Bunga, 40300 Shah Alam, Selangor, Malaysia

Maps

Alam Idaman in Petaling, Selangor recorded 4 subsale transactions between 2021 and 2026, with a median price of RM508K and a median price per square foot (PSF) of RM478.

This area contains both residential and commercial properties. View 17 residential properties or 13 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM508K, with most transactions falling within a stable range of RM320K to RM715K, and a typical market range of RM368K to RM647K.

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

Price per square foot shows a median of RM478, though individual units vary from RM334 to RM621 in the core range. The broader market spans RM383.95 to RM571.19, indicating diverse property characteristics. A wider spread (IQR: RM187.25) and deviation (MAD: RM144) 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.