Akasia Apartment-Bandar Setia Alam
SEKSYEN U13, 4, Persiaran Setia Prima, Setia Alam, 40170 Shah Alam, Selangor, Malaysia
SEKSYEN U13, 4, Persiaran Setia Prima, Setia Alam, 40170 Shah Alam, Selangor, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 2
|
RM 290,000
|
RM 359
|
807 sqft
|
|
|
|
Level 1
|
RM 280,000
|
RM 347
|
807 sqft
|
|
|
|
Level 1
|
RM 260,000
|
RM 322
|
807 sqft
|
|
|
|
Level 2
|
RM 350,000
|
RM 434
|
807 sqft
|
|
|
|
Level 4
|
RM 250,000
|
RM 310
|
807 sqft
|
|
|
|
Level 1
|
RM 245,000
|
RM 303
|
807 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 275,000
RM 337 psfMedian transaction price
SEKSYEN U13, 4, Persiaran Setia Prima, Setia Alam, 40170 Shah Alam, Selangor, Malaysia
MapsAkasia Apartment-Bandar Setia Alam in Petaling, Selangor recorded 14 subsale transactions between 2021 and 2026, with a median price of RM 275K and a median price per square foot (PSF) of RM 339.
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 275K, with most transactions falling within a stable range of RM 254K to RM 296K, and a typical market range of RM 257K to RM 293K.
Most transactions involved condominium/apartment, with minimal variety in property types.
For price per square foot, the median is RM 339, with most transactions between RM 316 and RM 362. The usual range is RM 317.54 to RM 361.29, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 43.75 and an average deviation (MAD) of RM 23 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.