Casa Residenza-Kota Damansara

Jalan Teknologi, Kota Damansara, 47810 Petaling Jaya, Selangor, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

10 subsales grouped by size

Median
RM425,000
PSF
RM466
Period
transactions middle 50% (P25–P75)
900 sqft
Condo
RM350,000
Level 15
877 sqft · RM399 PSF
RM450,000
Level 26
877 sqft · RM513 PSF
RM365,000
Level 25
912 sqft · RM400 PSF
RM400,000
Level 12
877 sqft · RM456 PSF
RM400,000
Level 16
877 sqft · RM456 PSF
RM450,000
Level 25
877 sqft · RM513 PSF
RM400,000
Level 22
877 sqft · RM456 PSF
950 sqft
Condo
RM450,000
Level 34
966 sqft · RM466 PSF
RM450,000
Level 28
966 sqft · RM466 PSF
RM460,000
Level 15
966 sqft · RM476 PSF
Legend Recent Highest Price Highest PSF

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Casa Residenza-Kota Damansara
© OpenStreetMap · CARTO

Jalan Teknologi, Kota Damansara, 47810 Petaling Jaya, Selangor, Malaysia

Maps

Casa Residenza-Kota Damansara in Petaling, Selangor recorded 10 subsale transactions between 2021 and 2026, with a median price of RM425K and a median price per square foot (PSF) of RM466.

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 RM425K, with most transactions falling within a stable range of RM400K to RM450K, and a typical market range of RM400K to RM450K.

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

For price per square foot, the median is RM466, with most transactions between RM456 and RM476. The usual range is RM457.11 to RM474.61, showing that most units are priced quite close to each other. A typical spread (IQR) of RM17.50 and an average deviation (MAD) of RM10 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.