Taman Sungai. Besi(Kampung. Pakar)

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

Property Transactions

2 subsales grouped by size

Median
RM 1,825,000
PSF
RM 489
Price Size
Period
transactions middle 50% (P25–P75)
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

Posts about Taman Sungai. Besi(Kampung. Pakar)

What’s happening in Taman Sungai. Besi(Kampung. Pakar)?

No posts about Taman Sungai. Besi(Kampung. Pakar) yet. Be the first to share what’s happening here.

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 2 subsale transactions in 2023, with a median price of RM 1.83 million and a median price per square foot (PSF) of RM 489.

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 1.65 million to RM 2.00 million, and a typical market range of RM 1.65 million to RM 2.00 million.

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

For price per square foot, the median is RM 489, with most transactions between RM 442 and RM 535. The usual range is RM 438.99 to RM 538.24, showing that most units are priced quite close to each other. With an IQR of RM 99.25 and MAD of RM 47, the PSF demonstrates reasonable consistency across the market.

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.