Alix Residence (Residensi Dutamas)

Jalan Dutamas Dahlia, Dutamas, 51200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Property Transactions

2 subsales grouped by size

Median
RM1,170,000
PSF
RM722
Period
transactions middle 50% (P25–P75)
1,550 sqft
Condo
RM1,120,000
Level 24
1,561 sqft · RM718 PSF
1,700 sqft
Condo
RM1,220,000
Level 14
1,690 sqft · RM722 PSF
Legend Recent Highest Price Highest PSF

Selling in Alix Residence (Residensi Dutamas)? Homes here sold for a median of RM1,170,000.

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Jalan Dutamas Dahlia, Dutamas, 51200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Alix Residence in Kuala Lumpur recorded 2 subsale transactions between 2021 and 2026, with a median price of RM1.17 million and a median price per square foot (PSF) of RM722.

Nothing is listed in Alix Residence (Residensi Dutamas) right now. Browse properties for sale in Mukim Batu and properties for rent in Mukim Batu nearby, then use the 2 sales recorded here to judge whether an asking price is fair.

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 RM1.17 million, with most transactions falling within a stable range of RM1.12 million to RM1.22 million, and a typical market range of RM1.15 million to RM1.20 million.

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

For price per square foot, the median is RM722, with most transactions between RM720 and RM724. The usual range is RM721.00 to RM723.00, showing that most units are priced quite close to each other. A typical spread (IQR) of RM2.00 and an average deviation (MAD) of RM2 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.