Taman Mas (Cheras)

Taman Cheras Mas, 43200 Cheras, Selangor, Malaysia

Property Transactions

9 subsales grouped by size

Period
transactions middle 50% (P25–P75)
1,250 sqft
2-Sty Terrace
RM560,000
Jalan Mas
1,249 sqft · RM448 PSF
1,400 sqft
2-Sty Terrace
RM450,000
Batu 9, Jalan Cheras
1,410 sqft · RM319 PSF
1,550 sqft
Terrace
RM450,000
Jalan Mas
1,540 sqft · RM292 PSF
1,600 sqft
Terrace
RM470,000
Taman Mas 2
1,615 sqft · RM291 PSF
1,700 sqft
2-Sty Terrace
RM498,000
Jalan Mas 2
1,690 sqft · RM295 PSF
RM448,000
Jalan Mas
1,690 sqft · RM265 PSF
RM638,000
Jalan Mas
1,690 sqft · RM378 PSF
RM335,000
Jalan Mas 4/3
1,690 sqft · RM198 PSF
1,800 sqft
Terrace
RM520,000
Jalan Mas 4/3
1,798 sqft · RM289 PSF
Legend Recent Highest Price Highest PSF

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Taman Mas (Cheras)
© OpenStreetMap · CARTO

Taman Cheras Mas, 43200 Cheras, Selangor, Malaysia

Maps

Taman Mas (Cheras) in Hulu Langat, Selangor recorded 9 subsale transactions between 2021 and 2026, with a median price of RM470K and a median price per square foot (PSF) of RM292.

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 RM470K, with most transactions falling within a stable range of RM442K to RM498K, and a typical market range of RM435K to RM505K.

Most transactions involved 2 - 2 1/2 storey terraced, though some variety exists in the market.

For price per square foot, the median is RM292, with most transactions between RM276 and RM308. The usual range is RM282.71 to RM301.71, showing that most units are priced quite close to each other. A typical spread (IQR) of RM19.00 and an average deviation (MAD) of RM16 indicate a highly stable PSF trend across properties.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.