VIM 3 @ Desa Park North

G-12, Vim Menjalara, Bandar Menjalara, 52200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

5 subsales grouped by size

Median
RM466,000
PSF
RM921
Price Size
Period
transactions middle 50% (P25–P75)
RM390,000
Level 11
463 sqft · RM843 PSF
RM462,000
Level 18
463 sqft · RM998 PSF
500 sqft
SOHO
RM466,000
Level 16
506 sqft · RM921 PSF
RM466,000
Level 23
506 sqft · RM921 PSF
550 sqft
SOHO
RM466,000
Level 14
570 sqft · RM817 PSF
Legend Recent Highest Price Highest PSF

Selling in Vim 3 @ Desa Park North? Homes here sold for a median of RM466,000.

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Market Snapshot

Commercial

RM466,000

RM921 psf

Median transaction price

High

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G-12, Vim Menjalara, Bandar Menjalara, 52200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

VIM 3 @ Desa Park North in Kuala Lumpur, Kuala Lumpur recorded 5 subsale transactions in 2021, with a median price of RM466K and a median price per square foot (PSF) of RM921.

This area contains both residential and commercial properties. View 14 residential properties or 53 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM466K, with most transactions falling within a stable range of RM436K to RM466K, and a typical market range of RM413K to RM466K.

Most transactions involved soho/sofo/sovo, though some variety exists in the market.

For price per square foot, the median is RM921, with most transactions between RM857 and RM986. The usual range is RM833.88 to RM1,008.38, showing that most units are priced quite close to each other. With an IQR of RM174.50 and MAD of RM64, the PSF demonstrates reasonable consistency across the market.

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.