Taman Bkt Permai (Kajang)

Taman Bukit Permai, 43200 Kajang, Selangor, Malaysia

No Transactions Found

We couldn't find any transactions matching your current filters in Taman Bkt Permai (Kajang).

Adjust Your Filters

Clear All Filters

Selling in Taman Bkt Permai (Kajang)? Homes here sold for a median of RM385,000.

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 Taman Bkt Permai (Kajang)

What’s happening in Taman Bkt Permai (Kajang)?

No posts about Taman Bkt Permai (Kajang) yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM385,000

RM224 psf

Median transaction price

Taman Bkt Permai (Kajang)
© OpenStreetMap · CARTO

Taman Bukit Permai, 43200 Kajang, Selangor, Malaysia

Maps

Taman Bkt Permai (Kajang) in Hulu Langat, Selangor recorded 0 subsale transactions in 2026, with a median price of RM385K and a median price per square foot (PSF) of RM224.

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 RM385K, with most transactions falling within a stable range of RM186K to RM584K, and a typical market range of RM204K to RM566K.

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

Price per square foot shows a median of RM224, though individual units vary from RM169 to RM278 in the core range. The broader market spans RM156.75 to RM290.25, indicating diverse property characteristics. The spread of RM133.50 (IQR) and deviation of RM55 (MAD) suggest moderate price variations reflecting different property features.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.