Vista Sungai Ramal
Jln Angsana, Kampung Sungai Ramal Dalam, 43000 Kajang, Selangor, Malaysia
Jln Angsana, Kampung Sungai Ramal Dalam, 43000 Kajang, Selangor, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 4
|
RM 350,000
|
RM 353
|
990 sqft
|
|
|
|
Level 3
|
RM 330,000
|
RM 333
|
990 sqft
|
|
|
|
Level 4
|
RM 310,000
|
RM 313
|
990 sqft
|
|
|
|
Level 5
|
RM 310,000
|
RM 313
|
990 sqft
|
|
|
|
Level 4
|
RM 330,000
|
RM 333
|
990 sqft
|
|
|
|
Level 6
|
RM 330,000
|
RM 333
|
990 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 330,000
RM 333 psfMedian transaction price
Jln Angsana, Kampung Sungai Ramal Dalam, 43000 Kajang, Selangor, Malaysia
MapsVista Sungai Ramal in Hulu Langat, Selangor recorded 13 subsale transactions in 2023, with a median price of RM 330K and a median price per square foot (PSF) of RM 333.
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 330K, with most transactions falling within a stable range of RM 310K to RM 350K, and a typical market range of RM 317K to RM 343K.
Most transactions involved condominium/apartment, with minimal variety in property types.
For price per square foot, the median is RM 333, with most transactions between RM 313 and RM 353. The usual range is RM 320.12 to RM 346.37, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 26.25 and an average deviation (MAD) of RM 20 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.