Pangsapuri Seroja-Bkt Jelutong
Jalan Setia Murni U13/50, Setia Alam, 40170 Shah Alam, Selangor, Malaysia
Jalan Setia Murni U13/50, 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 4
|
RM 360,000
|
RM 429
|
840 sqft
|
|
|
|
Level 4
|
RM 320,000
|
RM 381
|
840 sqft
|
|
|
|
Level 4
|
RM 320,000
|
RM 381
|
840 sqft
|
|
|
|
Level 5
|
RM 360,000
|
RM 429
|
840 sqft
|
|
|
|
Level 3
|
RM 350,000
|
RM 417
|
840 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 350,000
RM 417 psfMedian transaction price
Jalan Setia Murni U13/50, Setia Alam, 40170 Shah Alam, Selangor, Malaysia
MapsPangsapuri Seroja-Bkt Jelutong in Petaling, Selangor recorded 5 subsale transactions in 2023, with a median price of RM 350K and a median price per square foot (PSF) of RM 417.
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 350K, with most transactions falling within a stable range of RM 332K to RM 360K, and a typical market range of RM 338K to RM 360K.
Most transactions involved condominium/apartment, with minimal variety in property types.
For price per square foot, the median is RM 417, with most transactions between RM 395 and RM 439. The usual range is RM 396.76 to RM 437.01, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 40.25 and an average deviation (MAD) of RM 22 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.