Central Residensi @ Suria Sungai Besi

A-LG-7, Central Residence, 366, Jalan Sungai Besi, Chan Sow Lin, 57100 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

4 subsales found

Median
RM650,000
PSF
RM709
Price Size
Period
transactions middle 50% (P25–P75)
RM950,000
Level 19
1,119 sqft RM849 PSF
RM325,000
Level 25
560 sqft RM581 PSF
RM800,000
Level 20
1,087 sqft RM736 PSF
RM500,000
Level 9
732 sqft RM683 PSF
Legend Recent Highest Price Highest PSF

Selling in Central Residensi @ Suria Sungai Besi? Homes here sold for a median of RM650,000.

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Central Residensi @ Suria Sungai Besi
© OpenStreetMap · CARTO

A-LG-7, Central Residence, 366, Jalan Sungai Besi, Chan Sow Lin, 57100 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Maps

Central Residensi @ Suria Sungai Besi in Kuala Lumpur, Kuala Lumpur recorded 4 subsale transactions in 2022, with a median price of RM650K and a median price per square foot (PSF) of RM709.

This area contains both residential and commercial properties. View 24 residential properties or 9 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM650K, with most transactions falling within a stable range of RM405K to RM895K, and a typical market range of RM470K to RM830K.

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

The median PSF stands at RM709, with core pricing between RM613 and RM806. Market pricing typically extends from RM632.99 to RM785.99, reflecting moderate variation in unit pricing. With an IQR of RM153.00 and MAD of RM97, 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.