Kawasan Perusahaan Bukit Angkat

Bandar Kajang, 43000 Kajang, Selangor, Malaysia

Property Transactions

2 subsales grouped by size

Median
RM 3,950,000
PSF
RM 317
Price Size
5,900 sqft
Terrace Factory
RM 1,550,000
Jalan Ba/2
5,877 sqft · RM 264 PSF
17,150 sqft
Semi-D Factory
RM 6,350,000
Jalan Ba/3
17,168 sqft · RM 370 PSF
Legend Recent Highest Price Highest PSF

Posts about Kawasan Perusahaan Bukit Angkat

What’s happening in Kawasan Perusahaan Bukit Angkat?

No posts about Kawasan Perusahaan Bukit Angkat yet. Be the first to share what’s happening here.

Low

Rental Yield Data

Available with List.my Plus.

Unlock Access
Kawasan Perusahaan Bukit Angkat
© OpenStreetMap · CARTO

Bandar Kajang, 43000 Kajang, Selangor, Malaysia

Maps

Kawasan Perusahaan Bukit Angkat in Hulu Langat, Selangor recorded 2 subsale transactions in 2025, with a median price of RM 3.95 million and a median price per square foot (PSF) of RM 317.

This area consists exclusively of commercial properties, with no residential listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 3.95 million, with most transactions falling within a stable range of RM 1.55 million to RM 6.35 million, and a typical market range of RM 2.75 million to RM 5.15 million.

Most transactions involved semi-detached factory/warehouse, with moderate diversity in property types available.

The median PSF stands at RM 317, with core pricing between RM 264 and RM 370. Market pricing typically extends from RM 309.00 to RM 325.00, reflecting moderate variation in unit pricing. The spread of RM 16.00 (IQR) and deviation of RM 53 (MAD) suggest moderate price variations reflecting different property features.

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.