Rica Residence Sentul

1, Jln Perhentian, Sentul, 51100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

8 subsales grouped by size

Median
RM 605,000
PSF
RM 674
Price Size
Period
transactions middle 50% (P25–P75)
650 sqft
Serviced Apt
RM 439,000
Level 28
635 sqft · RM 691 PSF
RM 468,000
Level 27
635 sqft · RM 737 PSF
900 sqft
Serviced Apt
RM 600,000
Level 27
883 sqft · RM 680 PSF
RM 590,000
Level 17
883 sqft · RM 668 PSF
950 sqft
Serviced Apt
RM 634,000
Level 20
958 sqft · RM 662 PSF
RM 1,020,000
Level 27
958 sqft · RM 1,065 PSF
RM 610,000
Level 21
947 sqft · RM 644 PSF
RM 615,000
Level 18
958 sqft · RM 642 PSF
Legend Recent Highest Price Highest PSF

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Rica Residence Sentul
© OpenStreetMap · CARTO

1, Jln Perhentian, Sentul, 51100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Rica Residence Sentul in Kuala Lumpur, Kuala Lumpur recorded 8 subsale transactions between 2021 and 2026, with a median price of RM 605K and a median price per square foot (PSF) of RM 674.

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 605K, with most transactions falling within a stable range of RM 440K to RM 770K, and a typical market range of RM 573K to RM 637K.

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

The median PSF stands at RM 674, with core pricing between RM 542 and RM 806. Market pricing typically extends from RM 641.86 to RM 706.36, reflecting moderate variation in unit pricing. The spread of RM 64.50 (IQR) and deviation of RM 132 (MAD) suggest moderate price variations reflecting different property features.

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.