10 Mont Kiara (MK10)

4, Jalan Kiara 1, Mont Kiara, 50480 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

NEW LAUNCH New Condo in PJ Damansara
Ad Sponsored

New Condo in PJ Damansara

Pet friendly condo. 10mins to 1Utama

From
RM 600K
Size
800 sqft

No Transactions Found

We couldn't find any transactions matching your current filters in 10 Mon't Kiara.

Adjust Your Filters

Clear All Filters

Posts about 10 Mont Kiara (MK10)

What’s happening in 10 Mont Kiara (MK10)?

No posts about 10 Mont Kiara (MK10) yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM 3,400,000

RM 910 psf

Median transaction price

Low

Rental Yield Data

Available with List.my Plus.

Unlock Access
Loading map...

4, Jalan Kiara 1, Mont Kiara, 50480 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

10 Mont Kiara (MK10) in Kuala Lumpur, Kuala Lumpur recorded 0 subsale transactions in 2026, with a median price of RM 3.40 million and a median price per square foot (PSF) of RM 910.

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 3.40 million, with most transactions falling within a stable range of RM 3.16 million to RM 3.64 million, and a typical market range of RM 3.17 million to RM 3.63 million.

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

For price per square foot, the median is RM 910, with most transactions between RM 843 and RM 977. The usual range is RM 848.13 to RM 970.88, showing that most units are priced quite close to each other. With an IQR of RM 122.75 and MAD of RM 67, 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.