Rumbia Residence

Jalan Sri Permaisuri, Bandar Sri Permaisuri, 56000 Cheras, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

6 subsales grouped by size

Median
RM 585,500
PSF
RM 582
Price Size
1,000 sqft
Condo
RM 562,000
Level 31
990 sqft · RM 568 PSF
RM 606,000
Level 10
990 sqft · RM 612 PSF
RM 520,000
Level 17
990 sqft · RM 525 PSF
RM 565,000
Level 8
990 sqft · RM 571 PSF
RM 645,000
Level 35
990 sqft · RM 651 PSF
1,250 sqft
Condo
RM 728,000
Level 21
1,227 sqft · RM 593 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 585,500

RM 582 psf

Median transaction price

Average

Rental Yield Data

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Rumbia Residence
© OpenStreetMap · CARTO

Jalan Sri Permaisuri, Bandar Sri Permaisuri, 56000 Cheras, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Rumbia Residence in Kuala Lumpur, Kuala Lumpur recorded 6 subsale transactions between 2021 and 2026, with a median price of RM 586K and a median price per square foot (PSF) of RM 582.

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 586K, with most transactions falling within a stable range of RM 520K to RM 653K, and a typical market range of RM 565K to RM 606K.

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

For price per square foot, the median is RM 582, with most transactions between RM 543 and RM 621. The usual range is RM 569.41 to RM 594.41, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 25.00 and an average deviation (MAD) of RM 39 indicate a highly stable PSF trend across properties.

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.