BANDAR MUTIARA
Residential Market
Median Price
RM 255,000
PSF Trends (2021-2025)
PROPERTY TYPES OVERVIEW
Single Storey Terraced
55 properties
Median Price
RM 251,250
+5.7% CAGR
Median PSF
RM 178.00
+5.8% CAGR
Single Storey Semi-D
34 properties
Median Price
RM 310,000
+0.4% CAGR
Median PSF
RM 111.00
+0.5% CAGR
Double Storey Terraced
12 properties
Median Price
RM 355,000
+8.8% CAGR
Median PSF
RM 253.50
+8.9% CAGR
Double Storey Shop
3 properties
Median Price
RM 699,000
Median PSF
RM 583.00
| Property Type | Properties | Median Price | Price CAGR | Median PSF | PSF CAGR | |
|---|---|---|---|---|---|---|
| Single Storey Terraced | 55 |
RM 251,250
±8K MAD
|
+5.73% |
RM 178.00
±7 MAD
|
+5.81% | |
| Single Storey Semi-D | 34 |
RM 310,000
±10K MAD
|
+0.42% |
RM 111.00
±4 MAD
|
+0.47% | |
| Double Storey Terraced | 12 |
RM 355,000
±6K MAD
|
+8.84% |
RM 253.50
±4 MAD
|
+8.95% | |
| Double Storey Shop | 3 |
RM 699,000
|
- |
RM 583.00
|
- |
BANDAR MUTIARA in Kuala Muda, Kedah recorded 0 subsale transactions between 2021 and 2025, with a median price of RM 298K and a median price per square foot (PSF) of RM 120.
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 298K, with most transactions falling within a stable range of RM 260K to RM 336K, and a typical market range of RM 264K to RM 332K.
Most transactions involved 1 - 1 1/2 storey semi-detached, with moderate diversity in property types available.
The median PSF stands at RM 120, with core pricing between RM 104 and RM 136. Market pricing typically extends from RM 96.13 to RM 142.88, reflecting moderate variation in unit pricing. With an IQR of RM 46.75 and MAD of RM 16, the PSF demonstrates reasonable consistency across the market.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.