Residensi South Brooks

7, Jalan Residen Utama, Desa Parkcity, 52200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

3 subsales found

Median
RM950,000
PSF
RM869
Price Size
Period
transactions middle 50% (P25–P75)
RM950,000
Level 14
1,093 sqft RM869 PSF
RM930,000
Level 16
1,093 sqft RM851 PSF
RM960,000
Level 18
1,093 sqft RM878 PSF
Legend Recent Highest Price Highest PSF

Selling in Residensi South Brooks? Homes here sold for a median of RM950,000.

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Market Snapshot

Residential

RM950,000

RM869 psf

Median transaction price

Average

Does RESIDENSI SOUTH BROOKS rent out well?

Gross yield, median rent and sale psf — worked out from transacted prices and asking rents.

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7, Jalan Residen Utama, Desa Parkcity, 52200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Residensi South Brooks in Kuala Lumpur, Kuala Lumpur recorded 3 subsale transactions between 2021 and 2026, sized between 1,075 and 1,124 sqft, with a median price of RM950K and a median price per square foot (PSF) of RM869.

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 RM950K, with most transactions falling within a stable range of RM938K to RM960K, and a typical market range of RM930K to RM960K.

Most transactions involved condominium/apartment, with minimal variety in property types.

For price per square foot, the median is RM869, with most transactions between RM858 and RM881. The usual range is RM801.19 to RM937.19, showing that most units are priced quite close to each other. With an IQR of RM136.00 and MAD of RM11, 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.