New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Sungai Daun 1
|
RM 345,000
|
RM 241
|
1,432 sqft
|
|
Terrace |
|
Jalan Sungai Daun 1A
|
RM 443,000
|
RM 309
|
1,432 sqft
|
|
2-Sty Terrace |
|
Jalan Sungai Daun 1A
|
RM 560,000
|
RM 391
|
1,432 sqft
|
|
2-Sty Terrace |
|
Lorong Sungai Daun 1
|
RM 397,000
|
RM 277
|
1,432 sqft
|
|
Terrace |
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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 371,000
RM 259 psfMedian transaction price
Taman Sri mutiara, 10, Jln Sungai Daun 1, Batu 4, 42100 Klang, Selangor, Malaysia
MapsTaman Sri mutiara in Klang, Selangor recorded 6 subsale transactions between 2021 and 2026, with a median price of RM 371K and a median price per square foot (PSF) of RM 259.
This area contains both residential and commercial properties. View 8 residential properties or 1 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 371K, with most transactions falling within a stable range of RM 197K to RM 545K, and a typical market range of RM 176K to RM 560K.
Most transactions involved flats, with high diversity across multiple property types.
Price per square foot shows a median of RM 259, though individual units vary from RM 158 to RM 361 in the core range. The broader market spans RM 142.16 to RM 376.16, indicating diverse property characteristics. A wider spread (IQR: RM 234.00) and deviation (MAD: RM 101) indicate significant PSF variations, likely due to diverse property types or conditions.
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.