Taman Sungai. Besi (Kampung. Pakar)

Jln Kampung Pakar, Taman Sungai Besi, 57100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Property Transactions

3 subsales grouped by size · Terrace Factory →

Median
RM 1,800,000
PSF
RM 482
Price Size
Period
transactions middle 50% (P25–P75)
3,750 sqft
Terrace Factory
RM 1,800,000
Jalan 10/108C
3,735 sqft · RM 482 PSF
RM 1,700,000
Jalan 10/108C
3,735 sqft · RM 455 PSF
5,300 sqft
Semi-D Factory
RM 3,999,000
Jalan 14/108C
5,285 sqft · RM 757 PSF
Legend Recent Highest Price Highest PSF

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Taman Sungai. Besi (Kampung. Pakar)
© OpenStreetMap · CARTO

Jln Kampung Pakar, Taman Sungai Besi, 57100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Taman Sungai. Besi (Kampung. Pakar) in Kuala Lumpur, Kuala Lumpur recorded 3 subsale transactions in 2022, with a median price of RM 1.80 million and a median price per square foot (PSF) of RM 482.

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 1.80 million, with most transactions falling within a stable range of RM 1.70 million to RM 2.86 million, and a typical market range of RM 1.70 million to RM 2.17 million.

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

Price per square foot shows a median of RM 482, though individual units vary from RM 346 to RM 618 in the core range. The broader market spans RM 428.42 to RM 535.42, indicating diverse property characteristics. A wider spread (IQR: RM 107.00) and deviation (MAD: RM 136) 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.