Cloud View Tower
Lorong Jintan 3, Taman Cheras, 56100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
Lorong Jintan 3, Taman Cheras, 56100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
|---|---|---|---|---|---|
| 2025 | |||||
|
Level 10
|
RM 370,000
|
RM 279
|
1,324 sqft
|
|
Condo |
| 2024 | |||||
|
Level 9
|
RM 400,000
|
RM 302
|
1,324 sqft
|
|
Condo |
| 2023 | |||||
|
Level 9
|
RM 395,000
|
RM 298
|
1,324 sqft
|
|
Condo |
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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
Lorong Jintan 3, Taman Cheras, 56100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
MapsCloud View Tower in Kuala Lumpur, Kuala Lumpur recorded 3 subsale transactions between 2021 and 2026, sized between 1,275 and 1,324 sqft, with a median price of RM 395K and a median price per square foot (PSF) of RM 298.
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 395K, with most transactions falling within a stable range of RM 382K to RM 400K, and a typical market range of RM 377K to RM 400K.
Most transactions involved condominium/apartment, with minimal variety in property types.
For price per square foot, the median is RM 298, with most transactions between RM 288 and RM 308. The usual range is RM 291.35 to RM 305.35, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 14.00 and an average deviation (MAD) of RM 10 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.