Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Permai 1
|
RM1,100,000
|
RM207
|
5,317 sqft
|
|
Selling in Taman Ketoyong Permai? Homes here sold for a median of RM1,100,000.
Free to list, about two minutes, and the buyers reading this page will see it.
Posts about Taman Ketoyong Permai
No posts about Taman Ketoyong Permai yet. Be the first to share what’s happening here.
Nearby areas in Hulu Bernam Timor
Sentral Behrang
Proton City
Behrang 2020 / Taman Wawasan
Taman Bukit Wangsa Setia
Kota Malim Prima
Taman Bernam Baru
Apartment Damiana
Taman Sekiah Makmur
Diamond Creeks
Bandar Sri Behrang
Taman Pinggiran Pertama
Taman Behrang Bitara
Taman Ketoyong Permai
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 Hulu Bernam Timor
Taman Ketoyong Permai in Muallim, Perak recorded 1 3-Storey Shop properties subsale transactions between 2021 and 2026, with a median price of RM1.10 million and a median price per square foot (PSF) of RM207.
This area contains both residential and commercial properties. View 4 residential properties or 1 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat.
Within the 3-Storey Shop category, 2 - 2 1/2 storey terraced dominated the market, with moderate diversity in property types available.
For price per square foot, the median is RM207, with most transactions between RM207 and RM207. The usual range is RM183.37 to RM230.37, showing that most units are priced quite close to each other. A typical spread (IQR) of RM47.00 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. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.