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 412,000
PSF
RM 535
Price Size
Period
transactions middle 50% (P25–P75)
550 sqft
Serviced Apt
RM 340,000
Level 7
549 sqft · RM 619 PSF
650 sqft
Serviced Apt
RM 340,000
Level 21
635 sqft · RM 535 PSF
700 sqft
Serviced Apt
RM 450,000
Level 16
678 sqft · RM 664 PSF
RM 337,000
Level 28
678 sqft · RM 497 PSF
850 sqft
Serviced Apt
RM 420,000
Level 23
840 sqft · RM 500 PSF
RM 470,000
Level 15
872 sqft · RM 539 PSF
RM 412,000
Level 24
840 sqft · RM 491 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 330K and RM 470K, with a median price of RM 412K and a median price per square foot (PSF) of RM 535.

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 412K, with most transactions falling within a stable range of RM 360K to RM 464K, and a typical market range of RM 337K to RM 470K.

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

The median PSF stands at RM 535, with core pricing between RM 473 and RM 597. Market pricing typically extends from RM 321.50 to RM 749.25, reflecting moderate variation in unit pricing. With an IQR of RM 427.75 and MAD of RM 62, 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.