10 Mont Kiara (MK10)
4, Jalan Kiara 1, Mont Kiara, 50480 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
4, Jalan Kiara 1, Mont Kiara, 50480 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 10
|
RM 3,300,000
|
RM 900
|
3,667 sqft
|
|
|
|
Level 15
|
RM 3,450,000
|
RM 941
|
3,667 sqft
|
|
|
Level 27
|
RM 4,200,000
|
RM 1,027
|
4,089 sqft
|
|
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New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
New Condo in PJ Damansara
From RM 600,000 · 800 sqft
Pet friendly condo. 10mins to 1Utama
Market Snapshot
ResidentialRM 3,450,000
RM 941 psfMedian transaction price
4, Jalan Kiara 1, Mont Kiara, 50480 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
Maps10 Mont Kiara (MK10) in Kuala Lumpur, Kuala Lumpur recorded 3 subsale transactions between 2021 and 2026, with a median price of RM 3.45 million and a median price per square foot (PSF) of RM 941.
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 3.45 million, with most transactions falling within a stable range of RM 3.30 million to RM 3.84 million, and a typical market range of RM 3.30 million to RM 3.68 million.
Most transactions involved condominium/apartment, with minimal variety in property types.
For price per square foot, the median is RM 941, with most transactions between RM 888 and RM 994. The usual range is RM 879.63 to RM 1,002.38, showing that most units are priced quite close to each other. With an IQR of RM 122.75 and MAD of RM 53, 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.