Perumahan Sentul Utara
Sentul Utama, Jalan Dato Senu 26, Sentul, 51000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
Sentul Utama, Jalan Dato Senu 26, Sentul, 51000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
Selling in Perumahan Sentul Utara? Homes here sold for a median of RM245,000.
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Perumahan Sentul Utara
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 Setapak
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
Sentul Utama, Jalan Dato Senu 26, Sentul, 51000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
MapsPerumahan Sentul Utara in Kuala Lumpur, Kuala Lumpur recorded 2 subsale transactions between 2021 and 2026, sized between 725 and 774 sqft, with a median price of RM245K and a median price per square foot (PSF) of RM325.
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 RM245K, with most transactions falling within a stable range of RM240K to RM250K, and a typical market range of RM240K to RM250K.
Most transactions involved flats, though some variety exists in the market.
For price per square foot, the median is RM325, with most transactions between RM319 and RM332. The usual range is RM313.16 to RM337.16, showing that most units are priced quite close to each other. A typical spread (IQR) of RM24.00 and an average deviation (MAD) of RM7 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.