Residential Market
Median Price
RM 790,000
PSF Trends (2021-2025)
PROPERTY TYPES OVERVIEW
Double Storey Semi-D
10 properties
Median Price
RM 781,500
-1.6% CAGR
Median PSF
RM 258.50
+2.7% CAGR
Detached
2 properties
Median Price
RM 1,338,000
-2.5% CAGR
Median PSF
RM 262.00
+1.5% CAGR
Double Storey Shop
1 properties
Median Price
RM 300,000
Median PSF
RM 188.00
Low-Cost House
1 properties
Median Price
RM 210,000
Median PSF
RM 176.00
| Property Type | Properties | Median Price | Price CAGR | Median PSF | PSF CAGR | |
|---|---|---|---|---|---|---|
| Double Storey Semi-D | 10 |
RM 781,500
±7K MAD
|
-1.65% |
RM 258.50
±4 MAD
|
+2.75% | |
| Detached | 2 |
RM 1,338,000
±50K MAD
|
-2.46% |
RM 262.00
±6 MAD
|
+1.54% | |
| Double Storey Shop | 1 |
RM 300,000
|
- |
RM 188.00
|
- | |
| Low-Cost House | 1 |
RM 210,000
|
- |
RM 176.00
|
- |
TMN DESA RIA in Langkawi, Kedah recorded 0 subsale transactions between 2021 and 2025, with a median price of RM 790K and a median price per square foot (PSF) of RM 259.
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 790K, with most transactions falling within a stable range of RM 734K to RM 846K, and a typical market range of RM 739K to RM 841K.
Most transactions involved 2 - 2 1/2 storey semi-detached, though some variety exists in the market.
For price per square foot, the median is RM 259, with most transactions between RM 250 and RM 269. The usual range is RM 250.00 to RM 268.00, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 18.00 and an average deviation (MAD) of RM 10 indicate a highly stable PSF trend across properties.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.