Bukit Bandaraya Area B

bandar tun razak a, Cheras, 56000 Cheras, Wilayah Persekutuan Kuala Lumpur, Malaysia

Property Transactions

5 subsales grouped by size · 2-Sty Terrace →

Median
RM 2,150,000
PSF
RM 1,175
Price Size
1,650 sqft
2-Sty Terrace
RM 2,000,000
Jalan Limau Purut
1,658 sqft · RM 1,207 PSF
1,750 sqft
2-Sty Terrace
RM 1,930,000
Jalan Rumpai
1,733 sqft · RM 1,114 PSF
1,800 sqft
2-Sty Terrace
RM 2,800,000
Lorong Maarof
1,808 sqft · RM 1,548 PSF
1,850 sqft
2-Sty Terrace
RM 2,150,000
Jalan Pudina
1,830 sqft · RM 1,175 PSF
2,100 sqft
2-Sty Terrace
RM 2,180,000
Jalan Pudina
2,099 sqft · RM 1,039 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 2,150,000

RM 1,175 psf

Median transaction price

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bandar tun razak a, Cheras, 56000 Cheras, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Bukit Bandaraya Area B in Kuala Lumpur, Kuala Lumpur recorded 5 subsale transactions in 2023, with a median price of RM 2.15 million and a median price per square foot (PSF) of RM 1,175.

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 2.15 million, with most transactions falling within a stable range of RM 1.93 million to RM 2.46 million, and a typical market range of RM 2.06 million to RM 2.25 million.

Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.

The median PSF stands at RM 1,175, with core pricing between RM 999 and RM 1,351. Market pricing typically extends from RM 1,110.95 to RM 1,238.95, reflecting moderate variation in unit pricing. With an IQR of RM 128.00 and MAD of RM 176, the PSF demonstrates reasonable consistency across the market.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.