Bandar Bkt Mahkota Bangi

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

Property Transactions

5 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,400 sqft
2-Sty Terrace
RM445,000
Jalan Bm 5/19
1,378 sqft · RM323 PSF
RM450,000
Jalan Bm 5/15
1,378 sqft · RM327 PSF
RM500,000
Jalan Bm 5/15
1,378 sqft · RM363 PSF
RM620,000
Jalan Bm 6/10B
1,389 sqft · RM447 PSF
RM680,000
Jalan Bm 5/17
1,378 sqft · RM494 PSF
Legend Recent Highest Price Highest PSF

Selling in Bandar Bkt Mahkota Bangi? Homes here sold for a median of RM500,000.

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Market Snapshot

Residential

RM500,000

RM363 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 subsale transactions between 2021 and 2026, sized between 1,375 and 1,424 sqft, with a median price of RM500K and a median price per square foot (PSF) of RM363.

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 RM500K, with most transactions falling within a stable range of RM445K to RM595K, and a typical market range of RM445K to RM645K.

Most transactions involved 2 - 2 1/2 storey terraced, with high diversity across multiple property types.

The median PSF stands at RM363, with core pricing between RM295 and RM431. Market pricing typically extends from RM298.40 to RM427.40, reflecting moderate variation in unit pricing. The spread of RM129.00 (IQR) and deviation of RM68 (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.