Prima Midah Heights
Jalan Midah 8, Taman Midah, 56000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
Jalan Midah 8, Taman Midah, 56000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
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Prima Midah Heights
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
ResidentialRM400,000
RM383 psfMedian transaction price
Does PRIMA MIDAH HEIGHTS 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
Jalan Midah 8, Taman Midah, 56000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
MapsPrima Midah Heights in Kuala Lumpur, Kuala Lumpur recorded 1 subsale transactions between 2021 and 2026, sized between 1,025 and 1,074 sqft, with a median price of RM400K and a median price per square foot (PSF) of RM383.
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 RM383, with most transactions between RM383 and RM383. The usual range is RM378.11 to RM388.11, showing that most units are priced quite close to each other. A typical spread (IQR) of RM10.00 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.