Residential Market
Median Price
RM 385,000
PSF Trends (2021-2025)
Commercial Market
Median Price
RM 472,500
PSF Trends (2021-2025)
PROPERTY TYPES OVERVIEW
Double Storey Terraced
7 properties
Median Price
RM 420,000
+24.7% CAGR
Median PSF
RM 203.00
-8.8% CAGR
Double Storey Shop
4 properties
Median Price
RM 472,500
-11.0% CAGR
Median PSF
RM 334.00
-8.0% CAGR
Single Storey Semi-D
1 properties
Median Price
RM 480,000
Median PSF
RM 151.00
| Property Type | Properties | Median Price | Price CAGR | Median PSF | PSF CAGR | |
|---|---|---|---|---|---|---|
| Double Storey Terraced | 7 |
RM 420,000
±70K MAD
|
+24.72% |
RM 203.00
±34 MAD
|
-8.76% | |
| Double Storey Shop | 4 |
RM 472,500
±143K MAD
|
-10.99% |
RM 334.00
±58 MAD
|
-8.01% | |
| Single Storey Semi-D | 1 |
RM 480,000
|
- |
RM 151.00
|
- |
TMN SENTOSA II in Manjung, Perak recorded 0 subsale transactions between 2021 and 2025, with a median price of RM 420K and a median price per square foot (PSF) of RM 238.
This area contains both residential and commercial properties. View 7 residential properties or 4 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 420K, with most transactions falling within a stable range of RM 340K to RM 500K, and a typical market range of RM 334K to RM 506K.
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 238, though individual units vary from RM 185 to RM 291 in the core range. The broader market spans RM 190.25 to RM 285.75, indicating diverse property characteristics. The spread of RM 95.50 (IQR) and deviation of RM 53 (MAD) suggest moderate price variations reflecting different property features.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.