New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 4
|
RM 185,000
|
RM 312
|
592 sqft
|
|
|
|
Level 1
|
RM 230,000
|
RM 389
|
592 sqft
|
|
|
|
Level 2
|
RM 190,000
|
RM 321
|
592 sqft
|
|
|
|
Level 2
|
RM 170,000
|
RM 287
|
592 sqft
|
|
|
|
Level G
|
RM 215,000
|
RM 363
|
592 sqft
|
|
|
|
Level 1
|
RM 200,000
|
RM 338
|
592 sqft
|
|
|
Level 2
|
RM 160,000
|
RM 212
|
753 sqft
|
|
|
|
Level 4
|
RM 178,000
|
RM 236
|
753 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 190,000
RM 321 psfMedian transaction price
Seksyen 6, 40000 Shah Alam, Selangor, Malaysia
MapsSek. 6 Shah Alam in Petaling, Selangor recorded 13 Low-Cost Flat properties subsale transactions between 2021 and 2026, with a median price of RM 190K and a median price per square foot (PSF) of RM 321.
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 190K, with most transactions falling within a stable range of RM 166K to RM 214K, and a typical market range of RM 135K to RM 230K.
Within the Low-Cost Flat category, flats dominated the market, with high diversity across multiple property types.
The median PSF stands at RM 321, with core pricing between RM 269 and RM 373. Market pricing typically extends from RM 269.69 to RM 372.19, reflecting moderate variation in unit pricing. The spread of RM 102.50 (IQR) and deviation of RM 52 (MAD) suggest moderate price variations reflecting different property features.
While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.