Desa Setapak
Lorong Penghulu, Gombak Setia, 53100 Kuala Lumpur, Selangor, Malaysia
Lorong Penghulu, Gombak Setia, 53100 Kuala Lumpur, Selangor, Malaysia
Property Type
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Desa Setapak
Pangsapuri Bandaraya Gombak
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
Market Snapshot
RM452,500
RM486 psfMedian transaction price
RM2,025,000
RM1,809 psfMedian transaction price
Does DESA SETAPAK rent out well?
Gross yield, median rent and sale psf — worked out from transacted prices and asking rents.
See the yield with PlusRM59 a month, cancel any time
Lorong Penghulu, Gombak Setia, 53100 Kuala Lumpur, Selangor, Malaysia
MapsDesa Setapak in Kuala Lumpur, Kuala Lumpur recorded 2 subsale transactions between 2021 and 2026, sized between 925 and 974 sqft, with a median price of RM453K and a median price per square foot (PSF) of RM486.
This area contains both residential and commercial properties. View 72 residential properties or 10 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM453K, with most transactions falling within a stable range of RM415K to RM490K, and a typical market range of RM415K to RM490K.
Most transactions involved 2 - 2 1/2 storey terraced, though some variety exists in the market.
For price per square foot, the median is RM486, with most transactions between RM443 and RM529. The usual range is RM407.87 to RM564.62, showing that most units are priced quite close to each other. With an IQR of RM156.75 and MAD of RM43, 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.