Pearl Avenue Condo
Jalan Pasir Emas, Taman Berjaya, 43000 Kajang, Selangor, Malaysia
Jalan Pasir Emas, Taman Berjaya, 43000 Kajang, Selangor, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 11
|
RM 318,000
|
RM 290
|
1,098 sqft
|
|
|
|
Level 15
|
RM 380,000
|
RM 346
|
1,098 sqft
|
|
|
|
Level 10
|
RM 335,000
|
RM 305
|
1,098 sqft
|
|
|
|
Level 5
|
RM 360,000
|
RM 328
|
1,098 sqft
|
|
|
|
Level 10
|
RM 315,000
|
RM 287
|
1,098 sqft
|
|
|
|
Level 17
|
RM 400,000
|
RM 364
|
1,098 sqft
|
|
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New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
New Condo in PJ Damansara
From RM 600,000 · 800 sqft
Pet friendly condo. 10mins to 1Utama
Market Snapshot
ResidentialRM 342,500
RM 312 psfMedian transaction price
Jalan Pasir Emas, Taman Berjaya, 43000 Kajang, Selangor, Malaysia
MapsPearl Avenue Condo in Hulu Langat, Selangor recorded 16 subsale transactions in 2022, with a median price of RM 343K and a median price per square foot (PSF) of RM 312.
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 RM 343K, with most transactions falling within a stable range of RM 315K to RM 373K, and a typical market range of RM 317K to RM 368K.
Most transactions involved condominium/apartment, with minimal variety in property types.
For price per square foot, the median is RM 312, with most transactions between RM 284 and RM 340. The usual range is RM 288.33 to RM 335.58, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 47.25 and an average deviation (MAD) of RM 28 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.