| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 3
|
RM185,000
|
RM185
|
1,001 sqft
|
|
|
|
Level 2
|
RM190,000
|
RM190
|
1,001 sqft
|
|
|
|
Level 1
|
RM150,000
|
RM150
|
1,001 sqft
|
|
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Nearby areas in Jalan Bakri
Taman Pertama Indah ~ Jalan Bakri
Taman Bakri Jaya
Jalan Bakri
Taman Bakri Mulia - Tr 85
Taman Bakri Indah - Tr 268
Pusat Komersial Gemilang Bakri
Pangsapuri Bakri Setia
Taman Fajar
Taman Sri Jeram Iii
Taman Jaya Baru
Taman Jaya
Taman Jeram Pelangi
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 Jalan Bakri
Market Snapshot
ResidentialRM185,000
RM185 psfMedian transaction price
Taman Bakri Jaya, 84200 Muar, Johor Darul Ta'zim, Malaysia
MapsTaman Bakri Jaya in Muar, Johor recorded 3 Condo/Apartment properties subsale transactions between 2021 and 2026, with a median price of RM185K and a median price per square foot (PSF) of RM185.
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 RM185K, with most transactions falling within a stable range of RM167K to RM190K, and a typical market range of RM150K to RM190K.
Within the Condo/Apartment category, 1 - 1 1/2 storey terraced dominated the market, with high diversity across multiple property types.
For price per square foot, the median is RM185, with most transactions between RM167 and RM203. The usual range is RM150.31 to RM219.31, showing that most units are priced quite close to each other. With an IQR of RM69.00 and MAD of RM18, the PSF demonstrates reasonable consistency across the market.
While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.