| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 1
|
RM170,000
|
RM255
|
667 sqft
|
|
|
|
Level 3
|
RM130,000
|
RM195
|
667 sqft
|
|
|
Level 2
|
RM220,000
|
RM220
|
1,001 sqft
|
|
|
|
Level 4
|
RM225,000
|
RM225
|
1,001 sqft
|
|
|
Jalan Desa Wangsa 2
|
RM750,000
|
RM394
|
1,905 sqft
|
|
|
|
Jalan Desa Wangsa 2
|
RM790,000
|
RM415
|
1,905 sqft
|
|
|
|
Jalan Desa Wangsa 3
|
RM835,000
|
RM438
|
1,905 sqft
|
|
|
|
Jalan Desa Wangsa
|
RM760,000
|
RM399
|
1,905 sqft
|
|
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Taman Desa Wangsa
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 Bandar Cheras
Market Snapshot
ResidentialRM487,500
RM323 psfMedian transaction price
Taman Desa Wangsa, 43200 Cheras, Selangor, Malaysia
MapsTaman Desa Wangsa in Hulu Langat, Selangor recorded 8 subsale transactions between 2021 and 2026, with a median price of RM488K and a median price per square foot (PSF) of RM394.
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 RM488K, with most transactions falling within a stable range of RM200K to RM775K, and a typical market range of RM208K to RM768K.
Most transactions involved 2 - 2 1/2 storey terraced, with high diversity across multiple property types.
Price per square foot shows a median of RM394, though individual units vary from RM305 to RM483 in the core range. The broader market spans RM305.54 to RM481.79, indicating diverse property characteristics. The spread of RM176.25 (IQR) and deviation of RM89 (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.