Residensi Netizen

The Netizen Cheras, Lebuh Utama Tun Hussein Onn, Cheras Perdana, 43200 Cheras, Selangor, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

4 subsales grouped by size

Median
RM1,515,000
PSF
RM902
Price Size
Period
transactions middle 50% (P25–P75)
1,650 sqft
Office
RM1,410,000
Level 1
1,636 sqft · RM862 PSF
RM1,859,000
Level 1
1,668 sqft · RM1,114 PSF
RM1,550,000
Level 1
1,647 sqft · RM941 PSF
3,350 sqft
Office
RM1,480,000
Level 2&3
3,348 sqft · RM442 PSF
Legend Recent Highest Price Highest PSF

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Residensi Netizen
© OpenStreetMap · CARTO

The Netizen Cheras, Lebuh Utama Tun Hussein Onn, Cheras Perdana, 43200 Cheras, Selangor, Malaysia

Maps

Residensi Netizen in Hulu Langat, Selangor recorded 4 Office Lot properties subsale transactions between 2021 and 2026, with a median price of RM1.52 million and a median price per square foot (PSF) of RM902.

This area contains both residential and commercial properties. View 49 residential properties or 4 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM1.52 million, with most transactions falling within a stable range of RM1.41 million to RM1.69 million, and a typical market range of RM1.42 million to RM1.61 million.

Within the Office Lot category, serviced apartment dominated the market, with minimal variety in property types.

Price per square foot shows a median of RM902, though individual units vary from RM654 to RM1,149 in the core range. The broader market spans RM822.09 to RM981.09, indicating diverse property characteristics. A wider spread (IQR: RM159.00) and deviation (MAD: RM247) indicate significant PSF variations, likely due to diverse property types or conditions.

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.