Sqwhere - Service Apt. @ Sungai Buloh

5HX4+VC, Bandar Baru Sungai Buloh, 47000 Shah Alam, Selangor, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

8 subsales grouped by size

Median
RM610,500
PSF
RM579
Price Size
Period
transactions middle 50% (P25–P75)
1,000 sqft
Serviced Apt
RM580,000
Level 24
980 sqft · RM592 PSF
RM464,000
Level 33A
980 sqft · RM474 PSF
RM830,000
Level 15
980 sqft · RM847 PSF
RM348,000
Level 16
980 sqft · RM355 PSF
RM555,000
Level 30
980 sqft · RM567 PSF
1,750 sqft
Serviced Apt
RM1,356,000
Level 12
1,765 sqft · RM768 PSF
RM641,000
Level 14
1,765 sqft · RM363 PSF
2,100 sqft
Serviced Apt
RM1,550,000
Level 19
2,099 sqft · RM738 PSF
Legend Recent Highest Price Highest PSF

Selling in Sqwhere - Service Apt. @ Sungai Buloh? Homes here sold for a median of RM610,500.

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Sqwhere - Service Apt. @ Sungai Buloh
© OpenStreetMap · CARTO

5HX4+VC, Bandar Baru Sungai Buloh, 47000 Shah Alam, Selangor, Malaysia

Maps

Sqwhere - Service Apt. @ Sungai Buloh in Petaling, Selangor recorded 8 subsale transactions in 2022, with a median price of RM611K and a median price per square foot (PSF) of RM579.

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 RM611K, with most transactions falling within a stable range of RM348K to RM1.02 million, and a typical market range of RM473K to RM748K.

Most transactions involved serviced apartment, with minimal variety in property types.

Price per square foot shows a median of RM579, though individual units vary from RM406 to RM753 in the core range. The broader market spans RM411.37 to RM747.37, indicating diverse property characteristics. A wider spread (IQR: RM336.00) and deviation (MAD: RM173) 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.