Iris Apartment
Jalan 2/109c, Taman Abadi Indah, 58100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
Jalan 2/109c, Taman Abadi Indah, 58100 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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Iris Apartment
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 Kuala Lumpur
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
ResidentialRM195,000
RM312 psfMedian transaction price
Does IRIS APARTMENT 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
Iris Apartment, Jalan 2/109c, Taman Abadi Indah, 58100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
MapsIris Apartment in Kuala Lumpur, Kuala Lumpur recorded 1 subsale transactions between 2021 and 2026, with a median price of RM195K and a median price per square foot (PSF) of RM312.
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 RM312, with most transactions between RM312 and RM312. The usual range is RM286.22 to RM338.47, showing that most units are priced quite close to each other. With an IQR of RM52.25 and MAD of RM0, the PSF demonstrates reasonable consistency across the market.
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.