Sek 4 Bandar Baru Bangi

Seksyen 4 Bandar Baru Bangi, 43650 Bandar Baru Bangi, Selangor, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

2 subsales grouped by size

Median
RM 1,600,000
PSF
RM 269
Price Size
Period
transactions middle 50% (P25–P75)
1,300 sqft
2-Sty Terrace
RM 450,000
Jalan 4/5A
1,324 sqft · RM 340 PSF
13,950 sqft
Bungalow
RM 2,750,000
Jalan 4/5J
13,929 sqft · RM 197 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM 1,600,000

RM 269 psf

Median transaction price

RM 993,000

RM 566 psf

Median transaction price

Sek 4 Bandar Baru Bangi
© OpenStreetMap · CARTO

Seksyen 4 Bandar Baru Bangi, 43650 Bandar Baru Bangi, Selangor, Malaysia

Maps

Sek 4 Bandar Baru Bangi in Hulu Langat, Selangor recorded 2 subsale transactions in 2025, with a median price of RM 1.60 million and a median price per square foot (PSF) of RM 269.

This area contains both residential and commercial properties. View 40 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 1.60 million, with most transactions falling within a stable range of RM 450K to RM 2.75 million, and a typical market range of RM 1.41 million to RM 1.79 million.

Most transactions involved low-cost flat, with moderate diversity in property types available.

Price per square foot shows a median of RM 269, though individual units vary from RM 197 to RM 340 in the core range. The broader market spans RM 237.79 to RM 299.54, indicating diverse property characteristics. A wider spread (IQR: RM 61.75) and deviation (MAD: RM 71) 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.