Residensi Sentral

KL Sentral, Kuala Lumpur Sentral, 50470 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

5 subsales grouped by size · Serviced Apt →

Median
RM 2,200,000
PSF
RM 1,246
Price Size
1,750 sqft
Serviced Apt
RM 2,200,000
Level 43
1,765 sqft · RM 1,246 PSF
RM 2,090,000
Level 40
1,765 sqft · RM 1,184 PSF
1,800 sqft
Serviced Apt
RM 2,000,000
Level 18
1,819 sqft · RM 1,099 PSF
3,250 sqft
Serviced Apt
RM 4,700,000
Level 49
3,229 sqft · RM 1,455 PSF
3,350 sqft
Serviced Apt
RM 4,700,000
Level 46
3,369 sqft · RM 1,395 PSF
Legend Recent Highest Price Highest PSF

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Residensi Sentral
© OpenStreetMap · CARTO

KL Sentral, Kuala Lumpur Sentral, 50470 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Residensi Sentral in Kuala Lumpur, Kuala Lumpur recorded 5 subsale transactions between 2021 and 2026, with a median price of RM 2.20 million and a median price per square foot (PSF) of RM 1,246.

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 RM 2.20 million, with most transactions falling within a stable range of RM 2.00 million to RM 3.48 million, and a typical market range of RM 2.00 million to RM 2.56 million.

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

The median PSF stands at RM 1,246, with core pricing between RM 1,114 and RM 1,378. Market pricing typically extends from RM 1,179.25 to RM 1,312.75, reflecting moderate variation in unit pricing. With an IQR of RM 133.50 and MAD of RM 132, 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.