Mentari Condo

Mentari Condominium, Bandar Sri Permaisuri, 56000 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

8 subsales found

Median
RM425,000
PSF
RM425
Price Size
Period
transactions middle 50% (P25–P75)
RM430,000
Level 8
1,001 sqft RM430 PSF
RM500,000
Level 14
1,001 sqft RM499 PSF
RM420,000
Level 8
1,001 sqft RM420 PSF
RM430,000
Level 10
1,001 sqft RM430 PSF
RM480,000
Level 12
1,001 sqft RM480 PSF
RM360,000
Level 10
1,001 sqft RM360 PSF
RM395,000
Level 14
1,001 sqft RM395 PSF
RM400,000
Level 12
1,001 sqft RM400 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM425,000

RM425 psf

Median transaction price

Mentari Condo
© OpenStreetMap · CARTO

Mentari Condominium, Bandar Sri Permaisuri, 56000 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Maps

Mentari Condo in Kuala Lumpur, Kuala Lumpur recorded 8 subsale transactions in 2022, with a median price of RM425K and a median price per square foot (PSF) of RM425.

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 RM425K, with most transactions falling within a stable range of RM383K to RM467K, and a typical market range of RM410K to RM440K.

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

For price per square foot, the median is RM425, with most transactions between RM382 and RM467. The usual range is RM409.56 to RM439.56, showing that most units are priced quite close to each other. A typical spread (IQR) of RM30.00 and an average deviation (MAD) of RM42 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.