Taman Sungai. Besi(Kampung. Pakar)

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

Property Transactions

4 subsales grouped by size

Median
RM 1,825,000
PSF
RM 569
Price Size
Period
transactions middle 50% (P25–P75)
2,500 sqft
Terrace Factory
RM 1,500,000
Jalan 14/108C
2,486 sqft · RM 603 PSF
2,850 sqft
Terrace Factory
RM 2,400,000
Jalan 13/108C
2,842 sqft · RM 845 PSF
3,750 sqft
Terrace Factory
RM 1,650,000
Jalan 10/108C
3,735 sqft · RM 442 PSF
RM 2,000,000
Jalan 5/108C
3,735 sqft · RM 535 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 4 subsale transactions between 2021 and 2026, with a median price of RM 1.83 million and a median price per square foot (PSF) of RM 569.

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 1.83 million, with most transactions falling within a stable range of RM 1.50 million to RM 2.17 million, and a typical market range of RM 1.58 million to RM 2.07 million.

Most transactions involved terraced factory/warehouse, with minimal variety in property types.

Price per square foot shows a median of RM 569, though individual units vary from RM 420 to RM 718 in the core range. The broader market spans RM 519.61 to RM 618.86, indicating diverse property characteristics. A wider spread (IQR: RM 99.25) and deviation (MAD: RM 149) 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.