Taman Bkt Sungai Long

Bukit Sungai Long, 43200 Kajang, Selangor, Malaysia

Property Transactions

4 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
900 sqft
Condo
RM356,000
Level 6
904 sqft · RM394 PSF
RM400,000
Level 4
904 sqft · RM442 PSF
RM435,000
Level 4
904 sqft · RM481 PSF
RM365,000
Level 5
904 sqft · RM404 PSF
Legend Recent Highest Price Highest PSF

New Launches in Selangor

View all

Posts about Taman Bkt Sungai Long

What’s happening in Taman Bkt Sungai Long?

No posts about Taman Bkt Sungai Long yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM382,500

RM423 psf

Median transaction price

Taman Bkt Sungai Long
© OpenStreetMap · CARTO

Bukit Sungai Long, 43200 Kajang, Selangor, Malaysia

Maps

Taman Bkt Sungai Long in Hulu Langat, Selangor recorded 4 Condo/Apartment properties subsale transactions between 2021 and 2026, with a median price of RM383K and a median price per square foot (PSF) of RM423.

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 RM383K, with most transactions falling within a stable range of RM356K to RM414K, and a typical market range of RM356K to RM435K.

Within the Condo/Apartment category, 2 - 2 1/2 storey terraced dominated the market, with high diversity across multiple property types.

For price per square foot, the median is RM423, with most transactions between RM389 and RM458. The usual range is RM314.54 to RM531.54, showing that most units are priced quite close to each other. With an IQR of RM217.00 and MAD of RM35, the PSF demonstrates reasonable consistency across the market.

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.