Kampung Baru Sungai Buloh

40160 Sungai Buloh, Selangor, Malaysia

Property Transactions

3 subsales grouped by size

Median
RM 800,000
PSF
RM 122
Price Size
Period
transactions middle 50% (P25–P75)
5,700 sqft
Bungalow
RM 1,000,000
Jalan Kampung
5,717 sqft · RM 175 PSF
6,550 sqft
Bungalow
RM 800,000
Jalan Love Lane
6,534 sqft · RM 122 PSF
6,800 sqft
Bungalow
RM 600,000
Jalan Forest
6,795 sqft · RM 88 PSF
Legend Recent Highest Price Highest PSF

Posts about Kampung Baru Sungai Buloh

What’s happening in Kampung Baru Sungai Buloh?

No posts about Kampung Baru Sungai Buloh yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM 800,000

RM 122 psf

Median transaction price

Low

Rental Yield Data

Available with List.my Plus.

Unlock Access
Kampung Baru Sungai Buloh
© OpenStreetMap · CARTO

Kampung Baru Sungai Buloh, 40160 Sungai Buloh, Selangor, Malaysia

Maps

Kampung Baru Sungai Buloh in Petaling, Selangor recorded 3 subsale transactions in 2023, with a median price of RM 800K and a median price per square foot (PSF) of RM 122.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 800K, with most transactions falling within a stable range of RM 637K to RM 963K, and a typical market range of RM 660K to RM 940K.

Most transactions involved detached, with minimal variety in property types.

Price per square foot shows a median of RM 122, though individual units vary from RM 87 to RM 158 in the core range. The broader market spans RM 108.94 to RM 135.94, indicating diverse property characteristics. A wider spread (IQR: RM 27.00) and deviation (MAD: RM 36) 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.