Cheras Traders Square

Jalan Dataran Cheras 2, 43200 Cheras, Selangor, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

5 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM444,000
Level 14
775 sqft RM573 PSF
RM441,000
Level 8
775 sqft RM569 PSF
RM425,000
Level 9
775 sqft RM548 PSF
RM400,000
Level 14
775 sqft RM516 PSF
RM400,000
Level 26
775 sqft RM516 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM3,160,000

RM2,053 psf

Median transaction price

Average

Does CHERAS TRADERS SQUARE rent out well?

Gross yield, median rent and sale psf — worked out from transacted prices and asking rents.

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Cheras Traders Square, Jalan Dataran Cheras 2, 43200 Cheras, Selangor, Malaysia

Maps

Cheras Traders Square in Hulu Langat, Selangor recorded 5 subsale transactions between 2021 and 2026, sized between 775 and 824 sqft, with a median price of RM425K and a median price per square foot (PSF) of RM548.

This area contains both residential and commercial properties. View 53 residential properties or 11 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM425K, with most transactions falling within a stable range of RM406K to RM444K, and a typical market range of RM400K to RM444K.

Most transactions involved serviced apartment, though some variety exists in the market.

For price per square foot, the median is RM548, with most transactions between RM524 and RM573. The usual range is RM520.52 to RM576.27, showing that most units are priced quite close to each other. With an IQR of RM55.75 and MAD of RM25, the PSF demonstrates reasonable consistency across the market.

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.