TMN SUPREME
Residential Market
Median Price
RM 928,000
PSF Trends (2021-2025)
PROPERTY TYPES OVERVIEW
Single Storey Terraced
15 properties
Median Price
RM 345,000
Median PSF
RM 246.50
+0.1% CAGR
Double Storey Terraced
12 properties
Median Price
RM 960,000
-5.4% CAGR
Median PSF
RM 449.50
+7.3% CAGR
Single Storey Semi-D
1 properties
Median Price
RM 340,000
Median PSF
RM 125.00
Double Storey Shop
1 properties
Median Price
RM 360,000
Median PSF
RM 239.00
| Property Type | Properties | Median Price | Price CAGR | Median PSF | PSF CAGR | |
|---|---|---|---|---|---|---|
| Single Storey Terraced | 15 |
RM 345,000
±5K MAD
|
- |
RM 246.50
±4 MAD
|
+0.07% | |
| Double Storey Terraced | 12 |
RM 960,000
±120K MAD
|
-5.42% |
RM 449.50
±36 MAD
|
+7.34% | |
| Single Storey Semi-D | 1 |
RM 340,000
|
- |
RM 125.00
|
- | |
| Double Storey Shop | 1 |
RM 360,000
|
- |
RM 239.00
|
- |
TMN SUPREME in Kuala Lumpur, Kuala Lumpur recorded 0 subsale transactions between 2021 and 2025, with a median price of RM 928K and a median price per square foot (PSF) of RM 455.
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 928K, with most transactions falling within a stable range of RM 800K to RM 1.06 million, and a typical market range of RM 746K to RM 1.11 million.
Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.
The median PSF stands at RM 455, with core pricing between RM 399 and RM 511. Market pricing typically extends from RM 366.00 to RM 544.00, reflecting moderate variation in unit pricing. With an IQR of RM 178.00 and MAD of RM 56, 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.