| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Nipah
|
RM640,000
|
RM232
|
2,759 sqft
|
|
|
Jalan Nipah
|
RM645,000
|
RM213
|
3,027 sqft
|
|
|
|
Jalan Nipah
|
RM497,000
|
RM164
|
3,034 sqft
|
|
Posts about Taman Parit Nipah
No posts about Taman Parit Nipah yet. Be the first to share what’s happening here.
Nearby areas in Sri Menanti
Jalan Muar -Batu Pahat (Sri Menanti-Semerah)
Taman Mutiara ~ Sri Menanti
Jalan Muar- Batu Pahat (Pt Jawa-Sri Menanti)
Taman Parit Tengah Indah
Taman Molek-Tr 408
Taman Jauhari-Tr 390
Taman Nilam ~ Sri Menanti
Taman Parit Nipah
Taman Setia Menanti
Taman Kangkong Permai - Tr695
Taman Molek Ii
Taman Cahaya Menanti
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 Sri Menanti
Promote your property to visitors of this page
Taman Parit Nipah, Parit Nipah, 84150 Muar, Johor Darul Ta'zim, Malaysia
MapsTaman Parit Nipah in Muar, Johor recorded 3 subsale transactions between 2021 and 2026, with a median price of RM640K and a median price per square foot (PSF) of RM213.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM640K, with most transactions falling within a stable range of RM635K to RM645K, and a typical market range of RM603K to RM645K.
Most transactions involved 1 - 1 1/2 storey semi-detached, with minimal variety in property types.
For price per square foot, the median is RM213, with most transactions between RM194 and RM232. The usual range is RM196.09 to RM230.09, showing that most units are priced quite close to each other. A typical spread (IQR) of RM34.00 and an average deviation (MAD) of RM19 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. 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.