Bandar Bkt Mahkota Bangi

26, Jalan BM 6/5c, Bandar Bukit Mahkota, 43000 Kajang, Selangor, Malaysia

Property Transactions

5 subsales grouped by size

Median
RM 490,000
PSF
RM 141
Price Size
Period
transactions middle 50% (P25–P75)
3,200 sqft
Semi-D
RM 450,000
Jalan Bm 5/16
3,197 sqft · RM 141 PSF
RM 490,000
Jalan Bm 5/16
3,197 sqft · RM 153 PSF
3,600 sqft
Semi-D
RM 573,000
Jalan Bm 5/3
3,595 sqft · RM 159 PSF
3,700 sqft
Semi-D
RM 420,000
Jalan Bm 5/19
3,681 sqft · RM 114 PSF
4,700 sqft
Semi-D
RM 650,000
Jalan Bm 5/16
4,682 sqft · RM 139 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 490,000

RM 141 psf

Median transaction price

Bandar Bkt Mahkota Bangi
© OpenStreetMap · CARTO

26, Jalan BM 6/5c, Bandar Bukit Mahkota, 43000 Kajang, Selangor, Malaysia

Maps

Bandar Bkt Mahkota Bangi in Hulu Langat, Selangor recorded 5 Single Storey Semi-D properties subsale transactions between 2021 and 2026, with a median price of RM 490K and a median price per square foot (PSF) of RM 141.

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 490K, with most transactions falling within a stable range of RM 420K to RM 574K, and a typical market range of RM 420K to RM 635K.

Within the Single Storey Semi-D category, 2 - 2 1/2 storey terraced dominated the market, with high diversity across multiple property types.

The median PSF stands at RM 141, with core pricing between RM 125 and RM 156. Market pricing typically extends from RM 76.26 to RM 205.26, reflecting moderate variation in unit pricing. With an IQR of RM 129.00 and MAD of RM 16, 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.