Sek 9 Bandar Baru Bangi

Seksyen 9, 43650 Bandar Baru Bangi, Selangor, Malaysia

Property Transactions

4 subsales found

Median
RM1,275,000
PSF
RM354
Price Size
Period
transactions middle 50% (P25–P75)
RM360,000
Level 1
1,044 sqft RM345 PSF
RM1,500,000
Jalan 9/2
4,424 sqft RM339 PSF
RM1,050,000
Jalan 9/2
2,885 sqft RM364 PSF
RM2,800,000
Jalan 9/9C
4,790 sqft RM585 PSF
Legend Recent Highest Price Highest PSF

Selling in Sek 9 Bandar Baru Bangi? Homes here sold for a median of RM1,275,000.

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Market Snapshot

Commercial

RM1,275,000

RM354 psf

Median transaction price

Sek 9 Bandar Baru Bangi
© OpenStreetMap · CARTO

Seksyen 9, 43650 Bandar Baru Bangi, Selangor, Malaysia

Maps

Sek 9 Bandar Baru Bangi in Hulu Langat, Selangor recorded 4 subsale transactions in 2023, with a median price of RM1.28 million and a median price per square foot (PSF) of RM354.

This area contains both residential and commercial properties. View 2 residential properties or 25 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM1.28 million, with most transactions falling within a stable range of RM385K to RM2.17 million, and a typical market range of RM593K to RM1.96 million.

Most transactions involved semi-detached factory/warehouse, with high diversity across multiple property types.

Price per square foot shows a median of RM354, though individual units vary from RM252 to RM457 in the core range. The broader market spans RM113.89 to RM594.89, indicating diverse property characteristics. A wider spread (IQR: RM481.00) and deviation (MAD: RM102) 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.