Dua Sentral

8, Jalan Tun Sambanthan, Kampung Attap, 50470 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

7 subsales grouped by size

Median
RM 500,000
PSF
RM 579
Price Size
Period
transactions middle 50% (P25–P75)
650 sqft
Serviced Apt
RM 540,000
Level 12
635 sqft · RM 850 PSF
700 sqft
Serviced Apt
RM 500,000
Level 14
678 sqft · RM 737 PSF
RM 480,000
Level 29
678 sqft · RM 708 PSF
850 sqft
Serviced Apt
RM 500,000
Level 21
872 sqft · RM 573 PSF
RM 500,000
Level 13
872 sqft · RM 573 PSF
RM 486,000
Level 30
840 sqft · RM 579 PSF
1,000 sqft
Serviced Apt
RM 535,000
Level 25
980 sqft · RM 546 PSF
Legend Recent Highest Price Highest PSF

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8, Jalan Tun Sambanthan, Kampung Attap, 50470 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Dua Sentral in Kuala Lumpur, Kuala Lumpur recorded 7 subsale transactions between 2021 and 2026, priced between RM 470K and RM 540K, with a median price of RM 500K and a median price per square foot (PSF) of RM 579.

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 500K, with most transactions falling within a stable range of RM 480K to RM 521K, and a typical market range of RM 480K to RM 540K.

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

The median PSF stands at RM 579, with core pricing between RM 473 and RM 685. Market pricing typically extends from RM 364.99 to RM 792.74, reflecting moderate variation in unit pricing. The spread of RM 427.75 (IQR) and deviation of RM 106 (MAD) suggest moderate price variations reflecting different property features.

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.