Kaw Perusahaan Jalan Chan Sow Lin

Jalan Chan Sow Lin, 55200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Property Transactions

3 subsales grouped by size · Factory →

Median
RM 15,200,000
PSF
RM 698
Price Size
12,100 sqft
Semi-D Factory
RM 4,100,000
Jalan Chan Sow Lin
12,099 sqft · RM 339 PSF
21,800 sqft
Factory
RM 15,200,000
Jalan Lima
21,775 sqft · RM 698 PSF
24,150 sqft
Factory
RM 18,000,000
Jalan 4
24,133 sqft · RM 746 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM 15,200,000

RM 698 psf

Median transaction price

Kaw Perusahaan Jalan Chan Sow Lin
© OpenStreetMap · CARTO

Jalan Chan Sow Lin, 55200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Kaw Perusahaan Jalan Chan Sow Lin in Kuala Lumpur, Kuala Lumpur recorded 3 subsale transactions in 2023, with a median price of RM 15.20 million and a median price per square foot (PSF) of RM 698.

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 15.20 million, with most transactions falling within a stable range of RM 9.20 million to RM 18.00 million, and a typical market range of RM 10.03 million to RM 18.00 million.

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

Price per square foot shows a median of RM 698, though individual units vary from RM 516 to RM 880 in the core range. The broader market spans RM 581.04 to RM 815.04, indicating diverse property characteristics. A wider spread (IQR: RM 234.00) and deviation (MAD: RM 182) 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.