Matang Pagar

Kampung Matang Pagar, 47000 Sungai Buloh, Selangor, Malaysia

Property Transactions

2 subsales grouped by size

Median
RM415,000
PSF
RM158
Price Size
Period
transactions middle 50% (P25–P75)
2,450 sqft
Bungalow
RM380,000
Jalan Mp 10
2,443 sqft · RM156 PSF
2,800 sqft
Bungalow
RM450,000
Jalan Mp 52
2,800 sqft · RM161 PSF
Legend Recent Highest Price Highest PSF

Selling in Matang Pagar? Homes here sold for a median of RM415,000.

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 Matang Pagar

What’s happening in Matang Pagar?

No posts about Matang Pagar yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM415,000

RM158 psf

Median transaction price

Matang Pagar
© OpenStreetMap · CARTO

Kampung Matang Pagar, 47000 Sungai Buloh, Selangor, Malaysia

Maps

Matang Pagar in Gombak, Selangor recorded 2 subsale transactions in 2025, with a median price of RM415K and a median price per square foot (PSF) of RM158.

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 RM415K, with most transactions falling within a stable range of RM380K to RM450K, and a typical market range of RM380K to RM450K.

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

For price per square foot, the median is RM158, with most transactions between RM156 and RM161. The usual range is RM147.76 to RM168.76, showing that most units are priced quite close to each other. A typical spread (IQR) of RM21.00 and an average deviation (MAD) of RM3 indicate a highly stable PSF trend across properties.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.