New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| LIST.MY · Kemensah Villa Condominium Block A | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2023 | |||||
|
Level 7
|
RM430,000
|
RM350
|
1,227 sqft
|
|
Condo |
| 2022 | |||||
|
Level 6
|
RM500,000
|
RM381
|
1,313 sqft
|
|
Condo |
| 2021 | |||||
|
Level 2
|
RM350,000
|
RM339
|
1,033 sqft
|
|
Condo |
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Kemensah Villa Condominium Block A
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 Hulu Klang
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
Kemensah Villa Condominium Block A, Kemensah Mewah, 68000 Ampang, Selangor, Malaysia
MapsKemensah Villa Condominium Block A in Gombak, Selangor recorded 3 subsale transactions between 2021 and 2026, with a median price of RM430K and a median price per square foot (PSF) of RM350.
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 RM430K, with most transactions falling within a stable range of RM360K to RM500K, and a typical market range of RM393K to RM468K.
Most transactions involved condominium/apartment, with minimal variety in property types.
For price per square foot, the median is RM350, with most transactions between RM339 and RM361. The usual range is RM339.92 to RM360.92, showing that most units are priced quite close to each other. A typical spread (IQR) of RM21.00 and an average deviation (MAD) of RM11 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.