Verdana @ North Kiara

5, Jalan Dutamas Melati, Dutamas, 51200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

6 subsales found

Median
RM835,000
PSF
RM575
Price Size
Period
transactions middle 50% (P25–P75)
RM830,000
Level 13
1,453 sqft RM571 PSF
RM870,000
Level 25
1,453 sqft RM599 PSF
RM840,000
Level 19
1,453 sqft RM578 PSF
RM830,000
Level 14
1,453 sqft RM571 PSF
RM805,000
Level 20
1,453 sqft RM554 PSF
RM1,000,000
Level 24
1,453 sqft RM688 PSF
Legend Recent Highest Price Highest PSF

Selling in Verdana @ North Kiara? Homes here sold for a median of RM835,000.

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Market Snapshot

Residential

RM835,000

RM575 psf

Median transaction price

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5, Jalan Dutamas Melati, Dutamas, 51200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Verdana @ North Kiara in Kuala Lumpur, Kuala Lumpur recorded 6 subsale transactions between 2021 and 2026, sized between 1,425 and 1,474 sqft, with a median price of RM835K and a median price per square foot (PSF) of RM575.

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 RM835K, with most transactions falling within a stable range of RM805K to RM899K, and a typical market range of RM805K to RM1.00 million.

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

For price per square foot, the median is RM575, with most transactions between RM530 and RM619. The usual range is RM554.50 to RM594.75, showing that most units are priced quite close to each other. A typical spread (IQR) of RM40.25 and an average deviation (MAD) of RM44 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.