Maxim Residences

43, Jalan 9, Taman Len Seng, 56000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

9 subsales found

Median
RM498,000
PSF
RM469
Price Size
Period
transactions middle 50% (P25–P75)
RM440,000
Level 15
1,033 sqft RM426 PSF
RM510,000
Level 29
1,066 sqft RM479 PSF
RM470,000
Level 8
1,033 sqft RM455 PSF
RM540,000
Level 23
1,033 sqft RM523 PSF
RM498,000
Level 26
1,033 sqft RM482 PSF
RM458,000
Level 19
1,033 sqft RM443 PSF
RM500,000
Level 17
1,033 sqft RM484 PSF
RM500,000
Level 29
1,066 sqft RM469 PSF
RM480,000
Level 31
1,066 sqft RM450 PSF
Legend Recent Highest Price Highest PSF

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Maxim Residences
© OpenStreetMap · CARTO

43, Jalan 9, Taman Len Seng, 56000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Maxim Residences in Kuala Lumpur, Kuala Lumpur recorded 9 subsale transactions between 2021 and 2026, sized between 1,025 and 1,074 sqft, with a median price of RM498K and a median price per square foot (PSF) of RM469.

This area contains both residential and commercial properties. View 23 residential properties or 1 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM498K, with most transactions falling within a stable range of RM470K to RM526K, and a typical market range of RM448K to RM540K.

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

For price per square foot, the median is RM469, with most transactions between RM443 and RM496. The usual range is RM446.34 to RM492.09, showing that most units are priced quite close to each other. A typical spread (IQR) of RM45.75 and an average deviation (MAD) of RM27 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.