TMN LUCKY
Residential Market
Median Price
RM 250,000
PSF Trends (2021-2025)
PROPERTY TYPES OVERVIEW
Single Storey Terraced
4 properties
Median Price
RM 225,000
-4.4% CAGR
Median PSF
RM 132.50
-6.6% CAGR
Double Storey Semi-D
3 properties
Median Price
RM 500,000
Median PSF
RM 125.00
Detached
2 properties
Median Price
RM 520,000
Median PSF
RM 87.00
Single Storey Semi-D
1 properties
Median Price
RM 398,000
Median PSF
RM 131.00
| Property Type | Properties | Median Price | Price CAGR | Median PSF | PSF CAGR | |
|---|---|---|---|---|---|---|
| Single Storey Terraced | 4 |
RM 225,000
±20K MAD
|
-4.35% |
RM 132.50
±18 MAD
|
-6.59% | |
| Double Storey Semi-D | 3 |
RM 500,000
|
- |
RM 125.00
|
- | |
| Detached | 2 |
RM 520,000
|
- |
RM 87.00
|
- | |
| Single Storey Semi-D | 1 |
RM 398,000
|
- |
RM 131.00
|
- |
TMN LUCKY in Seremban, Negeri Sembilan recorded 0 subsale transactions between 2021 and 2025, with a median price of RM 250K 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 250K, with most transactions falling within a stable range of RM 170K to RM 330K, and a typical market range of RM 195K to RM 305K.
Most transactions involved 1 - 1 1/2 storey terraced, with moderate diversity in property types available.
Price per square foot shows a median of RM 120, though individual units vary from RM 94 to RM 146 in the core range. The broader market spans RM 102.00 to RM 138.00, indicating diverse property characteristics. The spread of RM 36.00 (IQR) and deviation of RM 26 (MAD) suggest moderate price variations reflecting different property features.
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.