Sek. 24 S.alam -Jalan 24/1-,24/30(K.ren)
Hot Area · Top 5%Subang Suria, 40150 Shah Alam, Selangor, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 1
|
RM 220,000
|
RM 372
|
592 sqft
|
|
|
|
Level 2
|
RM 180,000
|
RM 304
|
592 sqft
|
|
|
|
Level 3
|
RM 230,000
|
RM 389
|
592 sqft
|
|
|
|
Level 5
|
RM 170,000
|
RM 287
|
592 sqft
|
|
|
|
Level G
|
RM 190,000
|
RM 321
|
592 sqft
|
|
|
|
Level G
|
RM 140,000
|
RM 232
|
603 sqft
|
|
|
|
Level 5
|
RM 146,000
|
RM 242
|
603 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
Market Snapshot
ResidentialRM 180,000
RM 304 psfMedian transaction price
Subang Suria, 40150 Shah Alam, Selangor, Malaysia
MapsSek. 24 S.alam -Jalan 24/1-,24/30(K.ren) in Petaling, Selangor recorded 7 Flat properties subsale transactions between 2021 and 2026, with a median price of RM 180K and a median price per square foot (PSF) of RM 304.
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 180K, with most transactions falling within a stable range of RM 148K to RM 212K, and a typical market range of RM 155K to RM 205K.
Within the Flat category, low-cost flat dominated the market, with minimal variety in property types.
The median PSF stands at RM 304, with core pricing between RM 249 and RM 359. Market pricing typically extends from RM 267.54 to RM 340.54, reflecting moderate variation in unit pricing. The spread of RM 73.00 (IQR) and deviation of RM 55 (MAD) suggest moderate price variations reflecting different property features.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.