Casa Desa Condominium

Casa Desa, Casa Desa Condominium, 1, Jalan Desa Utama, Taman Desa, 58100 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

3 subsales found

Median
RM630,000
PSF
RM465
Price Size
Period
transactions middle 50% (P25–P75)
RM568,000
Level 15
1,356 sqft RM419 PSF
RM700,000
Level 11
1,356 sqft RM516 PSF
RM630,000
Level 14
1,356 sqft RM465 PSF
Legend Recent Highest Price Highest PSF

Selling in Casa Desa Condominium? Homes here sold for a median of RM630,000.

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Market Snapshot

Residential

RM630,000

RM465 psf

Median transaction price

Casa Desa Condominium
© OpenStreetMap · CARTO

Casa Desa, Casa Desa Condominium, 1, Jalan Desa Utama, Taman Desa, 58100 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Maps

Casa Desa Condominium in Kuala Lumpur, Kuala Lumpur recorded 3 subsale transactions between 2021 and 2026, sized between 1,325 and 1,374 sqft, with a median price of RM630K and a median price per square foot (PSF) of RM465.

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 RM630K, with most transactions falling within a stable range of RM576K to RM684K, and a typical market range of RM592K to RM668K.

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

For price per square foot, the median is RM465, with most transactions between RM425 and RM504. The usual range is RM442.90 to RM486.15, showing that most units are priced quite close to each other. A typical spread (IQR) of RM43.25 and an average deviation (MAD) of RM40 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.