Cherry Apartment

Jalan Mas Utama, Taman Rasa Sayang, 43200 Cheras, Selangor, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

8 subsales grouped by size

Period
transactions middle 50% (P25–P75)
700 sqft
Flat
RM180,000
Level 1
700 sqft · RM257 PSF
RM180,000
Level 2
700 sqft · RM257 PSF
RM180,000
Level 2
700 sqft · RM257 PSF
RM160,000
Level 3
700 sqft · RM229 PSF
800 sqft
Flat
RM190,000
Level 2
786 sqft · RM242 PSF
RM268,000
Level 2
786 sqft · RM341 PSF
3,250 sqft
2-Sty Shop
RM1,680,000
Jalan Desa Cahaya 11
3,272 sqft · RM513 PSF
3,700 sqft
2-Sty Shop
RM2,800,000
Jalan Desa Cahaya 12
3,724 sqft · RM752 PSF
Legend Recent Highest Price Highest PSF

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Desa Bukit Cahaya
© OpenStreetMap · CARTO

Cherry Apartment, Jalan Mas Utama, Taman Rasa Sayang, 43200 Cheras, Selangor, Malaysia

Maps

Cherry Apartment in Hulu Langat, Selangor recorded 8 subsale transactions between 2021 and 2026, with a median price of RM185K and a median price per square foot (PSF) of RM257.

This area contains both residential and commercial properties. View 6 residential properties or 2 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM185K, with most transactions falling within a stable range of RM170K to RM200K, and a typical market range of RM160K to RM406K.

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

For price per square foot, the median is RM257, with most transactions between RM236 and RM279. The usual range is RM134.89 to RM379.65, showing that most units are priced quite close to each other. With an IQR of RM244.75 and MAD of RM22, 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.