New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Suria 5
|
RM628,000
|
RM420
|
1,496 sqft
|
|
|
Jalan Bunga Melur 8
|
RM1,600,000
|
RM234
|
6,835 sqft
|
|
New Launches in Selangor
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Taman Suria Jaya
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Cheras
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
New Condo in PJ Damansara
From RM600,000 · 800 sqft
Pet friendly condo. 10mins to 1Utama
Market Snapshot
ResidentialRM381,500
RM375 psfMedian transaction price
Taman Suria Jaya, 43200 Cheras, Selangor, Malaysia
MapsTaman Suria Jaya in Hulu Langat, Selangor recorded 3 subsale transactions between 2021 and 2026, with a median price of RM628K and a median price per square foot (PSF) of RM267.
This area contains both residential and commercial properties. View 2 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 RM628K, with most transactions falling within a stable range of RM135K to RM1.12 million, and a typical market range of RM262K to RM994K.
Most transactions involved low-cost flat, with high diversity across multiple property types.
Price per square foot shows a median of RM267, though individual units vary from RM52 to RM482 in the core range. The broader market spans RM131.35 to RM402.35, indicating diverse property characteristics. A wider spread (IQR: RM271.00) and deviation (MAD: RM215) 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.