| LIST.MY · Taman Junid - Tr 374 | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Jalan Perdana 5
|
RM800,000
|
RM270
|
2,959 sqft
|
|
Semi-D |
| 2023 | |||||
|
Level 2
|
RM165,000
|
RM170
|
972 sqft
|
|
Condo |
|
Perdana 6
|
RM1,350,000
|
RM358
|
3,772 sqft
|
|
Semi-D |
|
Level 3
|
RM183,000
|
RM108
|
1,702 sqft
|
|
Condo |
|
Level 3
|
RM160,000
|
RM193
|
831 sqft
|
|
Condo |
| 2021 | |||||
|
Level 3
|
RM145,000
|
RM160
|
904 sqft
|
|
Condo |
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Taman Junid - Tr 374
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 Bandar Maharani
Market Snapshot
ResidentialRM174,000
RM182 psfMedian transaction price
Lrg Junid, 84000 Muar, Johor Darul Ta'zim, Malaysia
MapsTaman Junid - Tr 374 in Muar, Johor recorded 6 subsale transactions between 2021 and 2026, with a median price of RM174K and a median price per square foot (PSF) of RM193.
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 RM174K, with most transactions falling within a stable range of RM153K to RM196K, and a typical market range of RM145K to RM416K.
Most transactions involved condominium/apartment, though some variety exists in the market.
Price per square foot shows a median of RM193, though individual units vary from RM145 to RM240 in the core range. The broader market spans RM148.43 to RM236.68, indicating diverse property characteristics. The spread of RM88.25 (IQR) and deviation of RM48 (MAD) suggest moderate price variations reflecting different property features.
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.