Residential Market
Median Price
RM 892,000
PSF Trends (2021-2025)
PROPERTY TYPES OVERVIEW
Double Storey Terraced
11 properties
Median Price
RM 851,000
+19.4% CAGR
Median PSF
RM 404.25
+17.3% CAGR
Single Storey Terraced
7 properties
Median Price
RM 521,500
-8.3% CAGR
Median PSF
RM 256.25
+31.4% CAGR
Single Storey Semi-D
1 properties
Median Price
RM 639,000
Median PSF
RM 215.00
| Property Type | Properties | Median Price | Price CAGR | Median PSF | PSF CAGR | |
|---|---|---|---|---|---|---|
| Double Storey Terraced | 11 |
RM 851,000
±52K MAD
|
+19.37% |
RM 404.25
±40 MAD
|
+17.30% | |
| Single Storey Terraced | 7 |
RM 521,500
±23K MAD
|
-8.27% |
RM 256.25
±35 MAD
|
+31.38% | |
| Single Storey Semi-D | 1 |
RM 639,000
|
- |
RM 215.00
|
- |
TMN SG ABONG SUTERA (LOT 976) -TR123 in Muar, Johor recorded 0 subsale transactions between 2021 and 2025, with a median price of RM 892K and a median price per square foot (PSF) of RM 360.
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 RM 892K, with most transactions falling within a stable range of RM 768K to RM 1.02 million, and a typical market range of RM 688K to RM 1.10 million.
Most transactions involved 2 - 2 1/2 storey terraced, though some variety exists in the market.
Price per square foot shows a median of RM 360, though individual units vary from RM 265 to RM 455 in the core range. The broader market spans RM 257.88 to RM 462.13, indicating diverse property characteristics. A wider spread (IQR: RM 204.25) and deviation (MAD: RM 95) 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.
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