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

5 subsales found

Median
RM560,000
PSF
RM469
Price Size
Period
transactions middle 50% (P25–P75)
RM510,000
Level 12
1,195 sqft RM427 PSF
RM560,000
Level 15
1,195 sqft RM469 PSF
RM500,000
Level 9
1,195 sqft RM418 PSF
RM602,000
Level 13
1,195 sqft RM504 PSF
RM565,000
Level 7
1,195 sqft RM473 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM560,000

RM469 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 5 subsale transactions between 2021 and 2026, sized between 1,175 and 1,224 sqft, with a median price of RM560K and a median price per square foot (PSF) of RM469.

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 RM560K, with most transactions falling within a stable range of RM522K to RM598K, and a typical market range of RM522K to RM598K.

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

For price per square foot, the median is RM469, with most transactions between RM437 and RM500. The usual range is RM447.08 to RM490.33, showing that most units are priced quite close to each other. A typical spread (IQR) of RM43.25 and an average deviation (MAD) of RM32 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.