10 Stonor

10, Persiaran Stonor, Kuala Lumpur, 50450 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

8 subsales grouped by size

Median
RM 1,503,000
PSF
RM 1,862
Price Size
750 sqft
Serviced Apt
RM 1,010,000
Level 13
743 sqft · RM 1,360 PSF
800 sqft
Serviced Apt
RM 1,288,000
Level 28
807 sqft · RM 1,595 PSF
RM 1,378,000
Level 28
807 sqft · RM 1,707 PSF
RM 1,170,000
Level 34
807 sqft · RM 1,449 PSF
RM 1,628,000
Level 33
807 sqft · RM 2,017 PSF
RM 1,641,000
Level 33A
807 sqft · RM 2,033 PSF
RM 1,678,000
Level 36
807 sqft · RM 2,079 PSF
RM 1,635,000
Level 32
807 sqft · RM 2,025 PSF
Legend Recent Highest Price Highest PSF

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10, Persiaran Stonor, Kuala Lumpur, 50450 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

10 Stonor in Kuala Lumpur, Kuala Lumpur recorded 8 subsale transactions between 2021 and 2026, with a median price of RM 1.50 million and a median price per square foot (PSF) of RM 1,862.

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 1.50 million, with most transactions falling within a stable range of RM 1.26 million to RM 1.68 million, and a typical market range of RM 1.31 million to RM 1.68 million.

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

The median PSF stands at RM 1,862, with core pricing between RM 1,589 and RM 2,135. Market pricing typically extends from RM 1,742.25 to RM 1,981.75, reflecting moderate variation in unit pricing. With an IQR of RM 239.50 and MAD of RM 273, the PSF demonstrates reasonable consistency across the market.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.