Bandar Tun Abd Razak (Kampung Konggo)

41 Jalan Mewah 2 Bandar Tun Razak Cheras, Bandar Tun Razak, 56000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Property Transactions

4 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,000 sqft
Cluster
RM300,000
Lorong Jujur 2
1,001 sqft · RM300 PSF
RM400,000
Lorong Jujur 5
1,001 sqft · RM400 PSF
RM400,000
Lorong Mewah 11
1,012 sqft · RM395 PSF
1,600 sqft
Terrace
RM500,000
Lorong Jaya 8
1,604 sqft · RM312 PSF
Legend Recent Highest Price Highest PSF

Selling in Bandar Tun Abd Razak (Kampung Konggo)? Homes here sold for a median of RM400,000.

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Market Snapshot

Residential

RM400,000

RM354 psf

Median transaction price

Bandar Tun Abd Razak (Kampung Konggo)
© OpenStreetMap · CARTO

41 Jalan Mewah 2 Bandar Tun Razak Cheras, Bandar Tun Razak, 56000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Bandar Tun Abd Razak (Kampung Konggo) in Kuala Lumpur, Kuala Lumpur recorded 4 subsale transactions in 2025, with a median price of RM400K and a median price per square foot (PSF) of RM354.

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 RM400K, with most transactions falling within a stable range of RM329K to RM471K, and a typical market range of RM335K to RM465K.

Most transactions involved cluster house, with moderate diversity in property types available.

The median PSF stands at RM354, with core pricing between RM308 and RM400. Market pricing typically extends from RM314.30 to RM393.05, reflecting moderate variation in unit pricing. With an IQR of RM78.75 and MAD of RM46, 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.