| LIST.MY · Taman Makmur 2, Pogoh | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Jalan Makmur 7
|
RM460,000
|
RM223
|
2,067 sqft
|
|
2-Sty Terrace |
| 2023 | |||||
|
Jalan Makmur 9
|
RM450,000
|
RM218
|
2,067 sqft
|
|
2-Sty Terrace |
| 2022 | |||||
|
Jalan Makmur 8
|
RM435,000
|
RM210
|
2,067 sqft
|
|
2-Sty Terrace |
|
Jalan Makmur 8
|
RM400,000
|
RM194
|
2,067 sqft
|
|
2-Sty Terrace |
Selling in Taman Makmur 2, Pogoh? Homes here sold for a median of RM442,500.
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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 Pogoh
Market Snapshot
ResidentialRM442,500
RM214 psfMedian transaction price
52, Jln Makmur 11, Taman Makmur 2, 85000 Bukit Siput, Johor Darul Ta'zim, Malaysia
MapsTaman Makmur 2, Pogoh in Segamat, Johor recorded 4 subsale transactions between 2021 and 2026, sized between 2,025 and 2,074 sqft, with a median price of RM443K and a median price per square foot (PSF) of RM214.
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 RM443K, with most transactions falling within a stable range of RM420K to RM460K, and a typical market range of RM400K to RM460K.
Most transactions involved 2 - 2 1/2 storey terraced, with moderate diversity in property types available.
For price per square foot, the median is RM214, with most transactions between RM203 and RM225. The usual range is RM189.99 to RM238.24, showing that most units are priced quite close to each other. A typical spread (IQR) of RM48.25 and an average deviation (MAD) of RM11 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.