| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Koh Cheng San 3
|
RM270,000
|
RM161
|
1,679 sqft
|
|
Posts about Taman Koh Cheng San, Sungai Sgt -Tr 459
No posts about Taman Koh Cheng San, Sungai Sgt -Tr 459 yet. Be the first to share what’s happening here.
Nearby areas in Sungai Segamat
Bandar Ioi, Sungai Segamat - Tr 77
Taman Idaman, Sungai Segamat
Bandar Segamat Baru
Shopping Mall
Taman Utama, Sungai Sgt
taman pesona
Bandar Ioi, Sungai. Segamat - Tr 77
Taman Segar, Sungai Segamat - Tr 590
Bandar Ioi Fasa 19, Sungai Segamat
Bandar Segamat Baru - Tr 400
Taman Bandar Utama, Sungai Sgt - Tr 99
Taman Sutera, Sungai Segamat - Tr 92
Taman Koh Cheng San, Sungai Sgt -Tr 459
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 Sungai Segamat
Promote your property to visitors of this page
Jalan Koh Cheng San, 85000 Segamat, Johor Darul Ta'zim, Malaysia
MapsTaman Koh Cheng San, Sungai Sgt -Tr 459 in Segamat, Johor recorded 1 subsale transactions in 2022, with a median price of RM270K and a median price per square foot (PSF) of RM161.
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 2 - 2 1/2 storey terraced, with moderate diversity in property types available.
For price per square foot, the median is RM161, with most transactions between RM161 and RM161. The usual range is RM147.79 to RM173.79, showing that most units are priced quite close to each other. A typical spread (IQR) of RM26.00 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.