New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 1
|
RM375,000
|
RM400
|
936 sqft
|
|
|
|
Level 8
|
RM370,000
|
RM395
|
936 sqft
|
|
|
|
Level 1
|
RM435,000
|
RM465
|
936 sqft
|
|
|
|
Level 3
|
RM320,000
|
RM342
|
936 sqft
|
|
|
|
Level 3
|
RM345,000
|
RM368
|
936 sqft
|
|
|
|
Level 8
|
RM380,000
|
RM406
|
936 sqft
|
|
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Kondominium Kojaya
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Bandar Ampang
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
New Condo in PJ Damansara
From RM600,000 · 800 sqft
Pet friendly condo. 10mins to 1Utama
Market Snapshot
ResidentialRM365,000
RM390 psfMedian transaction price
Malaysia, Selangor, Ampang, Taman Dato Ahmad Razali, Kondominium Kojaya, 68000
MapsKondominium Kojaya in Hulu Langat, Selangor recorded 14 subsale transactions between 2021 and 2026, with a median price of RM365K and a median price per square foot (PSF) of RM390.
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 RM365K, with most transactions falling within a stable range of RM350K to RM380K, and a typical market range of RM351K to RM379K.
Most transactions involved condominium/apartment, with minimal variety in property types.
For price per square foot, the median is RM390, with most transactions between RM374 and RM406. The usual range is RM375.15 to RM404.40, showing that most units are priced quite close to each other. A typical spread (IQR) of RM29.25 and an average deviation (MAD) of RM16 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.