Taman Perindustrian Alfa Impian

Jln Alfa Impian 1, 43000 Kajang, Selangor, Malaysia

Property Transactions

2 subsales grouped by size · Semi-D Factory →

Median
RM 4,500,000
PSF
RM 1,497
Price Size
1,600 sqft
Terrace Factory
RM 4,000,000
Jalan Alfa Impian 1
1,604 sqft · RM 2,494 PSF
10,000 sqft
Semi-D Factory
RM 5,000,000
Jalan Alfa Impian 1
9,989 sqft · RM 501 PSF
Legend Recent Highest Price Highest PSF

Posts about Taman Perindustrian Alfa Impian

What’s happening in Taman Perindustrian Alfa Impian?

No posts about Taman Perindustrian Alfa Impian yet. Be the first to share what’s happening here.

Taman Perindustrian Alfa Impian
© OpenStreetMap · CARTO

Jln Alfa Impian 1, 43000 Kajang, Selangor, Malaysia

Maps

Taman Perindustrian Alfa Impian in Hulu Langat, Selangor recorded 2 subsale transactions between 2021 and 2026, with a median price of RM 4.50 million and a median price per square foot (PSF) of RM 1,497.

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 4.50 million, with most transactions falling within a stable range of RM 4.00 million to RM 5.00 million, and a typical market range of RM 4.20 million to RM 4.80 million.

Most transactions involved semi-detached factory/warehouse, though some variety exists in the market.

Price per square foot shows a median of RM 1,497, though individual units vary from RM 501 to RM 2,494 in the core range. The broader market spans RM 1,467.18 to RM 1,527.43, indicating diverse property characteristics. A wider spread (IQR: RM 60.25) and deviation (MAD: RM 997) indicate significant PSF variations, likely due to diverse property types or conditions.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.