Syit 100D Kampung Lombong

100, Jalan Kampung Lombong, Kampung Jln Kebun, 40460 Shah Alam, Selangor, Malaysia

Property Transactions

1 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM750,000
Jalan Lombong Perak 29/60
5,048 sqft RM149 PSF
Legend Recent Highest Price Highest PSF

Selling in Syit 100D Kampung Lombong? Homes here sold for a median of RM750,000.

Free to list, about two minutes, and the buyers reading this page will see it.

List your property free

New Launches in Selangor

View all

Posts about Syit 100D Kampung Lombong

What’s happening in Syit 100D Kampung Lombong?

No posts about Syit 100D Kampung Lombong yet. Be the first to share what’s happening here.

Property News

More property news →

Market Snapshot

Residential

RM750,000

RM149 psf

Median transaction price

Syit 100D Kampung Lombong
© OpenStreetMap · CARTO

100, Jalan Kampung Lombong, Kampung Jln Kebun, 40460 Shah Alam, Selangor, Malaysia

Maps

Syit 100D Kampung Lombong in Klang, Selangor recorded 1 subsale transactions between 2021 and 2026, sized between 5,025 and 5,074 sqft, with a median price of RM750K and a median price per square foot (PSF) of RM149.

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

Price remained flat, and PSF growth was PSF remained flat.

Most transactions involved 1 - 1 1/2 storey terraced, though some variety exists in the market.

For price per square foot, the median is RM149, with most transactions between RM149 and RM149. The usual range is RM113.57 to RM183.57, showing that most units are priced quite close to each other. With an IQR of RM70.00 and MAD of RM0, 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.