Cherry Apartment

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

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From
RM 600K
Size
800 sqft

Property Transactions

6 subsales grouped by size · Flat →

Median
RM 185,000
PSF
RM 257
Price Size
700 sqft
Flat
RM 180,000
Level 1
700 sqft · RM 257 PSF
RM 180,000
Level 2
700 sqft · RM 257 PSF
RM 180,000
Level 2
700 sqft · RM 257 PSF
800 sqft
Flat
RM 190,000
Level 2
786 sqft · RM 242 PSF
3,250 sqft
2-Sty Shop
RM 1,680,000
Jalan Desa Cahaya 11
3,272 sqft · RM 513 PSF
3,700 sqft
2-Sty Shop
RM 2,800,000
Jalan Desa Cahaya 12
3,724 sqft · RM 752 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 6 subsale transactions between 2021 and 2026, with a median price of RM 185K and a median price per square foot (PSF) of RM 257.

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 RM 185K, with most transactions falling within a stable range of RM 180K to RM 1.21 million, and a typical market range of RM 180K to RM 406K.

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

Price per square foot shows a median of RM 257, though individual units vary from RM 66 to RM 449 in the core range. The broader market spans RM 134.89 to RM 379.65, indicating diverse property characteristics. A wider spread (IQR: RM 244.75) and deviation (MAD: RM 192) indicate significant PSF variations, likely due to diverse property types or conditions.

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.