Calisa Residence (Taman Mas Sepang)
Lingkaran Dagang Mas, Taman Mas Sepang, 47130 Puchong, Selangor, Malaysia
Lingkaran Dagang Mas, Taman Mas Sepang, 47130 Puchong, Selangor, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 14
|
RM 280,000
|
RM 317
|
883 sqft
|
|
|
|
Level 13
|
RM 300,000
|
RM 340
|
883 sqft
|
|
|
|
Level 4
|
RM 270,000
|
RM 306
|
883 sqft
|
|
Posts about Calisa Residence (Taman Mas Sepang)
No posts about Calisa Residence (Taman Mas Sepang) yet. Be the first to share what’s happening here.
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
Lingkaran Dagang Mas, Taman Mas Sepang, 47130 Puchong, Selangor, Malaysia
MapsCalisa Residence (Taman Mas Sepang) in Sepang, Selangor recorded 3 subsale transactions between 2021 and 2026, with a median price of RM 280K and a median price per square foot (PSF) of RM 317.
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 280K, with most transactions falling within a stable range of RM 270K to RM 292K, and a typical market range of RM 270K to RM 291K.
Most transactions involved condominium/apartment, with minimal variety in property types.
For price per square foot, the median is RM 317, with most transactions between RM 303 and RM 331. The usual range is RM 304.13 to RM 329.88, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 25.75 and an average deviation (MAD) of RM 14 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.