Residensi Holmes

No. 3, Jalan Bakti, Bandar Tun Razak, 56000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

14 subsales grouped by size

Median
RM445,000
PSF
RM472
Price Size
Period
transactions middle 50% (P25–P75)
950 sqft
Condo
RM420,000
Level 16
943 sqft · RM445 PSF
RM430,000
Level 13
943 sqft · RM456 PSF
RM440,000
Level 18
943 sqft · RM467 PSF
RM460,000
Level 20
943 sqft · RM488 PSF
RM450,000
Level 10
943 sqft · RM477 PSF
RM410,000
Level 25
943 sqft · RM435 PSF
+8 more
Legend Recent Highest Price Highest PSF

Selling in Residensi Holmes? Homes here sold for a median of RM445,000.

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Market Snapshot

Residential

RM445,000

RM472 psf

Median transaction price

Residensi Holmes
© OpenStreetMap · CARTO

No. 3, Jalan Bakti, Bandar Tun Razak, 56000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Residensi Holmes in Kuala Lumpur, Kuala Lumpur recorded 14 subsale transactions between 2021 and 2026, sized between 925 and 974 sqft, with a median price of RM445K and a median price per square foot (PSF) of RM472.

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 RM445K, with most transactions falling within a stable range of RM428K to RM460K, and a typical market range of RM425K to RM460K.

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

For price per square foot, the median is RM472, with most transactions between RM454 and RM490. The usual range is RM453.44 to RM490.44, showing that most units are priced quite close to each other. A typical spread (IQR) of RM37.00 and an average deviation (MAD) of RM18 indicate a highly stable PSF trend across properties.

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.