Alam Idaman

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

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From
RM 600K
Size
800 sqft

Property Transactions

8 subsales grouped by size

Median
RM 386,000
PSF
RM 387
Price Size
800 sqft
Serviced Apt
RM 320,000
Level 13
807 sqft · RM 397 PSF
RM 330,000
Level 19
926 sqft · RM 356 PSF
RM 347,000
Level 17
926 sqft · RM 375 PSF
RM 350,000
Level 20
926 sqft · RM 378 PSF
RM 1,267,000
Level G
969 sqft · RM 1,308 PSF
RM 460,000
Level G
958 sqft · RM 480 PSF
1,050 sqft
Shop
RM 500,000
Level G
1,066 sqft · RM 469 PSF
1,150 sqft
Serviced Apt
RM 422,000
Level 13
1,173 sqft · RM 360 PSF
8
transactions

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Market Snapshot

RM 347,000

RM 375 psf

Median transaction price

RM 500,000

RM 480 psf

Median transaction price

Average

Rental Yield Data

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

Maps

Alam Idaman in Petaling, Selangor recorded 8 subsale transactions in 2022, with a median price of RM 386K and a median price per square foot (PSF) of RM 387.

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 RM 386K, with most transactions falling within a stable range of RM 320K to RM 682K, and a typical market range of RM 320K to RM 526K.

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

Price per square foot shows a median of RM 387, though individual units vary from RM 84 to RM 690 in the core range. The broader market spans RM 293.70 to RM 480.95, indicating diverse property characteristics. A wider spread (IQR: RM 187.25) and deviation (MAD: RM 303) 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.