New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Tenggiri 17/23
|
RM 1,180,000
|
RM 470
|
2,508 sqft
|
|
|
|
Jalan Gelama 17/24
|
RM 1,050,000
|
RM 419
|
2,508 sqft
|
|
|
|
Jalan 17/19
|
RM 1,100,000
|
RM 439
|
2,508 sqft
|
|
|
|
Jalan Jenulung 17/21
|
RM 1,100,000
|
RM 439
|
2,508 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 410,000
RM 310 psfMedian transaction price
Terminal 17 (Shah Alam), Jalan Jenulung 17/21, Section 17, 40200 Shah Alam, Selangor, Malaysia
MapsSek. 17 Shah Alam in Petaling, Selangor recorded 4 Double Storey Shop properties subsale transactions between 2021 and 2026, with a median price of RM 1.10 million and a median price per square foot (PSF) of RM 439.
This area contains both residential and commercial properties. View 73 residential properties or 5 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 1.10 million, with most transactions falling within a stable range of RM 1.05 million to RM 1.15 million, and a typical market range of RM 1.05 million to RM 1.18 million.
Within the Double Storey Shop category, ow-cost flatlo dominated the market, with high diversity across multiple property types.
For price per square foot, the median is RM 439, with most transactions between RM 420 and RM 457. The usual range is RM 390.23 to RM 486.98, showing that most units are priced quite close to each other. With an IQR of RM 96.75 and MAD of RM 19, 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. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.