Laman Damai Kepong (Li Garden Apartment)
Jalan Kuang Bertam 9, Taman Kepong, 52100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
Jalan Kuang Bertam 9, Taman Kepong, 52100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
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Selling in Laman Damai Kepong (Li Garden Apartment)? Homes here sold for a median of RM250,000.
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Laman Damai Kepong (Li Garden Apartment)
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
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
New Condo in PJ Damansara
From RM600,000 · 800 sqft
Pet friendly condo. 10mins to 1Utama
Market Snapshot
ResidentialRM250,000
RM381 psfMedian transaction price
Jalan Kuang Bertam 9, Taman Kepong, 52100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
MapsLaman Damai Kepong (Li Garden Apartment) in Kuala Lumpur, Kuala Lumpur recorded 1 subsale transactions between 2021 and 2026, with a median price of RM250K and a median price per square foot (PSF) of RM381.
This area consists exclusively of residential properties, with no commercial listings recorded.
Price remained flat, and PSF growth was PSF remained flat.
Most transactions involved condominium/apartment, with minimal variety in property types.
For price per square foot, the median is RM381, with most transactions between RM381 and RM381. The usual range is RM363.88 to RM398.13, showing that most units are priced quite close to each other. A typical spread (IQR) of RM34.25 and an average deviation (MAD) of RM0 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. 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.