| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Desa Aman 5
|
RM130,000
|
RM168
|
775 sqft
|
|
|
|
Jalan Desa Aman 5
|
RM150,000
|
RM194
|
775 sqft
|
|
|
Jalan Desa Aman 4
|
RM250,000
|
RM192
|
1,302 sqft
|
|
Posts about Taman Desa Aman, Triang
No posts about Taman Desa Aman, Triang yet. Be the first to share what’s happening here.
Nearby areas in Teriang
Taman Merbau Indah
Sentral Residence @ Triang
Taman Mawar Indah, Triang
Taman Kerayong Makmur
Taman Triang Maju
Taman Mawar Jaya
Taman Seri Merbau
Perumahan Makmur Sentral Jaya
Taman Jaya Kemayan
Taman Tualang, Mengkarak
Taman Mawar Impian
Taman Chengal
Taman Desa Aman, Triang
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 Teriang
Promote your property to visitors of this page
Taman Desa Aman, Triang in Bera, Pahang recorded 3 subsale transactions between 2021 and 2026, with a median price of RM150K and a median price per square foot (PSF) of RM192.
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 RM150K, with most transactions falling within a stable range of RM130K to RM170K, and a typical market range of RM130K to RM180K.
Most transactions involved low-cost house, though some variety exists in the market.
For price per square foot, the median is RM192, with most transactions between RM190 and RM194. The usual range is RM185.45 to RM198.45, showing that most units are priced quite close to each other. A typical spread (IQR) of RM13.00 and an average deviation (MAD) of RM2 indicate a highly stable PSF trend across properties.
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.