Kenny Hill
Perdana Botanical Gardens, 50480 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
Perdana Botanical Gardens, 50480 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong Lembah Tunku
|
RM8,600,000
|
RM782
|
10,999 sqft
|
|
|
Lorong Lembah Tunku
|
RM5,800,000
|
RM516
|
11,244 sqft
|
|
Selling in Kenny Hill? Homes here sold for a median of RM7,200,000.
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Kenny Hill
Marketplace listings
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Mukim Batu
Market Snapshot
ResidentialRM7,200,000
RM649 psfMedian transaction price
Perdana Botanical Gardens, 50480 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
MapsKenny Hill in Kuala Lumpur, Kuala Lumpur recorded 2 subsale transactions in 2025, with a median price of RM7.20 million and a median price per square foot (PSF) of RM649.
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 RM7.20 million, with most transactions falling within a stable range of RM5.80 million to RM8.60 million, and a typical market range of RM5.80 million to RM8.60 million.
Most transactions involved detached, with minimal variety in property types.
Price per square foot shows a median of RM649, though individual units vary from RM516 to RM782 in the core range. The broader market spans RM449.46 to RM848.46, indicating diverse property characteristics. The spread of RM399.00 (IQR) and deviation of RM133 (MAD) suggest moderate price variations reflecting different property features.
While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.