Setia City Residences
6, Jln Setia Dagang AH U13/AH, Seksyen U13, 40170 Shah Alam, Selangor, Malaysia
6, Jln Setia Dagang AH U13/AH, Seksyen U13, 40170 Shah Alam, Selangor, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 34
|
RM 610,000
|
RM 616
|
990 sqft
|
|
|
|
Level 15
|
RM 620,000
|
RM 626
|
990 sqft
|
|
|
|
Level 26
|
RM 600,000
|
RM 606
|
990 sqft
|
|
|
Level 32
|
RM 750,000
|
RM 718
|
1,044 sqft
|
|
|
Level 13
|
RM 740,000
|
RM 603
|
1,227 sqft
|
|
|
|
Level 29
|
RM 700,000
|
RM 570
|
1,227 sqft
|
|
|
|
Level 18
|
RM 678,000
|
RM 553
|
1,227 sqft
|
|
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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
Setia City Residences, 6, Jln Setia Dagang AH U13/AH, Seksyen U13, 40170 Shah Alam, Selangor, Malaysia
MapsSetia City Residences in Petaling, Selangor recorded 7 subsale transactions in 2024, with a median price of RM 678K and a median price per square foot (PSF) of RM 606.
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 678K, with most transactions falling within a stable range of RM 620K to RM 736K, and a typical market range of RM 629K to RM 727K.
Most transactions involved serviced apartment, with minimal variety in property types.
For price per square foot, the median is RM 606, with most transactions between RM 557 and RM 655. The usual range is RM 578.14 to RM 633.64, showing that most units are priced quite close to each other. With an IQR of RM 55.50 and MAD of RM 49, the PSF demonstrates reasonable consistency across the market.
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.