Cengal Condominium

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

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From
RM600K
Size
800 sqft

Property Transactions

6 subsales grouped by size

Median
RM387,500
PSF
RM424
Price Size
Period
transactions middle 50% (P25–P75)
900 sqft
Condo
RM370,000
Level 7
915 sqft · RM404 PSF
RM375,000
Level 14
915 sqft · RM410 PSF
RM370,000
Level 12
915 sqft · RM404 PSF
RM400,000
Level 9
915 sqft · RM437 PSF
RM420,000
Level 11
915 sqft · RM459 PSF
RM410,000
Level 14
915 sqft · RM448 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM387,500

RM424 psf

Median transaction price

Cengal Kondominium
© OpenStreetMap · CARTO

Cengal Condominium, Bandar Sri Permaisuri, 56000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Cengal Condominium in Kuala Lumpur, Kuala Lumpur recorded 6 subsale transactions between 2021 and 2026, sized between 875 and 924 sqft, with a median price of RM388K and a median price per square foot (PSF) of RM424.

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 RM388K, with most transactions falling within a stable range of RM370K to RM408K, and a typical market range of RM370K to RM420K.

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

For price per square foot, the median is RM424, with most transactions between RM402 and RM445. The usual range is RM400.03 to RM447.03, showing that most units are priced quite close to each other. A typical spread (IQR) of RM47.00 and an average deviation (MAD) of RM22 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.