| LIST.MY · Wisma 2020 - Tr 194 | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Level 1
|
RM170,000
|
RM263
|
646 sqft
|
|
Condo |
| 2023 | |||||
|
Level 1
|
RM390,000
|
RM604
|
646 sqft
|
|
Condo |
|
Level 2
|
RM198,000
|
RM302
|
657 sqft
|
|
Condo |
|
Level 3
|
RM160,000
|
RM248
|
646 sqft
|
|
Condo |
Selling in Wisma 2020 - Tr 194? Homes here sold for a median of RM184,000.
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Wisma 2020 - Tr 194
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
Market Snapshot
ResidentialRM184,000
RM282 psfMedian transaction price
WISMA 2020, BG11, Wisma2020, Jalan Temenggong Ahmad, Kampung Baharu, 84000 Muar, Johor, Malaysia
MapsWisma 2020 - Tr 194 in Muar, Johor recorded 4 subsale transactions between 2021 and 2026, sized between 625 and 674 sqft, with a median price of RM184K and a median price per square foot (PSF) of RM282.
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 RM184K, with most transactions falling within a stable range of RM160K to RM278K, and a typical market range of RM174K to RM194K.
Most transactions involved condominium/apartment, with minimal variety in property types.
Price per square foot shows a median of RM282, though individual units vary from RM137 to RM428 in the core range. The broader market spans RM255.89 to RM308.89, indicating diverse property characteristics. A wider spread (IQR: RM53.00) and deviation (MAD: RM146) indicate significant PSF variations, likely due to diverse property types or conditions.
While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.