New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Damai Mewah
|
RM 1,850,000
|
RM 457
|
4,047 sqft
|
|
|
|
Jalan Damai Mewah 2
|
RM 1,000,000
|
RM 247
|
4,047 sqft
|
|
|
Jalan Damai Mewah 1
|
RM 1,380,000
|
RM 222
|
6,222 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
RM 290,000
RM 299 psfMedian transaction price
RM 1,380,000
RM 247 psfMedian transaction price
Taman Damai Mewah, 43000 Kajang, Selangor, Malaysia
MapsTaman Damai Mewah in Hulu Langat, Selangor recorded 3 3-Storey Shop properties subsale transactions between 2021 and 2026, with a median price of RM 1.38 million and a median price per square foot (PSF) of RM 247.
This area contains both residential and commercial properties. View 62 residential properties or 3 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 1.38 million, with most transactions falling within a stable range of RM 1.03 million to RM 1.73 million, and a typical market range of RM 1.35 million to RM 1.42 million.
Within the 3-Storey Shop category, condominium/apartment dominated the market, with moderate diversity in property types available.
Price per square foot shows a median of RM 247, though individual units vary from RM 142 to RM 353 in the core range. The broader market spans RM 211.58 to RM 282.58, indicating diverse property characteristics. A wider spread (IQR: RM 71.00) and deviation (MAD: RM 105) indicate significant PSF variations, likely due to diverse property types or conditions.
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.