Green Residence@Cheras

Jln Sayang 1, Taman Rasa Sayang, 43200 Cheras, Selangor, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

8 subsales found

Median
RM749,000
PSF
RM470
Price Size
Period
transactions middle 50% (P25–P75)
RM590,000
Level 8
1,593 sqft RM370 PSF
RM800,000
Level 10
1,593 sqft RM502 PSF
RM718,000
Level 30
1,593 sqft RM451 PSF
RM710,000
Level 18
1,593 sqft RM446 PSF
RM680,000
Level 14
1,593 sqft RM427 PSF
RM889,000
Level 14
1,593 sqft RM558 PSF
RM780,000
Level 22
1,593 sqft RM490 PSF
RM780,000
Level 26
1,593 sqft RM490 PSF
Legend Recent Highest Price Highest PSF

Selling in Green Residence@Cheras? Homes here sold for a median of RM749,000.

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Market Snapshot

Residential

RM749,000

RM470 psf

Median transaction price

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Jln Sayang 1, Taman Rasa Sayang, 43200 Cheras, Selangor, Malaysia

Maps

Green Residence@Cheras in Hulu Langat, Selangor recorded 8 subsale transactions between 2021 and 2026, sized between 1,575 and 1,624 sqft, with a median price of RM749K and a median price per square foot (PSF) of RM470.

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 RM749K, with most transactions falling within a stable range of RM665K to RM833K, and a typical market range of RM672K to RM826K.

Most transactions involved condominium/apartment, with minimal variety in property types.

The median PSF stands at RM470, with core pricing between RM417 and RM523. Market pricing typically extends from RM416.04 to RM524.29, reflecting moderate variation in unit pricing. With an IQR of RM108.25 and MAD of RM53, the PSF demonstrates reasonable consistency across the market.

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.