Residensi Lanai Bukit Jalil
Jln 2/155a, Bandar Bukit Jalil, 57000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
Jln 2/155a, Bandar Bukit Jalil, 57000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
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Nearby areas in Mukim Petaling
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Angkasa Condominium
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Taman Tasik Damai
Taman Alam Damai
Residensi Aster Cheras
Residensi Lanai Bukit Jalil
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 Petaling
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
Jln 2/155a, Bandar Bukit Jalil, 57000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
MapsResidensi Lanai Bukit Jalil in Kuala Lumpur, Kuala Lumpur recorded 2 subsale transactions between 2021 and 2026, with a median price of RM310K and a median price per square foot (PSF) of RM400.
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 RM310K, with most transactions falling within a stable range of RM300K to RM320K, and a typical market range of RM305K to RM315K.
Most transactions involved condominium/apartment, with minimal variety in property types.
For price per square foot, the median is RM400, with most transactions between RM388 and RM413. The usual range is RM393.77 to RM406.27, showing that most units are priced quite close to each other. A typical spread (IQR) of RM12.50 and an average deviation (MAD) of RM13 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.