Seri Kasturi Apartment
Bandar Kinrara, 47180 Puchong, Selangor, Malaysia
Bandar Kinrara, 47180 Puchong, Selangor, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 3
|
RM 335,000
|
RM 389
|
861 sqft
|
|
|
|
Level 7
|
RM 325,000
|
RM 377
|
861 sqft
|
|
|
|
Level 2
|
RM 300,000
|
RM 348
|
861 sqft
|
|
|
|
Level 4
|
RM 320,000
|
RM 367
|
872 sqft
|
|
|
|
Level 5
|
RM 320,000
|
RM 372
|
861 sqft
|
|
|
|
Level 2
|
RM 280,000
|
RM 325
|
861 sqft
|
|
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 320,000
RM 365 psfMedian transaction price
Seri Kasturi Apartment, Bandar Kinrara, 47180 Puchong, Selangor, Malaysia
MapsSeri Kasturi Apartment in Petaling, Selangor recorded 14 subsale transactions between 2021 and 2026, with a median price of RM 320K and a median price per square foot (PSF) of RM 372.
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 320K, with most transactions falling within a stable range of RM 308K to RM 333K, and a typical market range of RM 310K to RM 330K.
Most transactions involved condominium/apartment, with minimal variety in property types.
For price per square foot, the median is RM 372, with most transactions between RM 357 and RM 387. The usual range is RM 358.49 to RM 384.74, 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 15 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.