| LIST.MY · Taman Lukut Setia | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
4
|
RM250,000
|
RM192
|
1,302 sqft
|
|
Terrace |
|
4
|
RM225,000
|
RM173
|
1,302 sqft
|
|
Terrace |
|
Jalan Lukut Setia, 4
|
RM250,000
|
RM192
|
1,302 sqft
|
|
Terrace |
Selling in Taman Lukut Setia? Homes here sold for a median of RM250,000.
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Nearby areas in Pekan Lukut
PR1MA @ Port Dickson
Bandar Dataran Segar
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Taman D'ambang Kota
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Pusat Perniagaan Lukut Utama
Bandar Baru Lukut
Taman Jaya Lukut
Taman Indah Jaya
Taman Sri Aman
Perindustrian Lukut Indah
Taman Lukut Setia
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Pekan Lukut
Jimah, 71010 Port Dickson, Negeri Sembilan, Malaysia
MapsTaman Lukut Setia in Port Dickson, Negeri Sembilan recorded 3 subsale transactions between 2021 and 2026, sized between 1,275 and 1,324 sqft, with a median price of RM250K and a median price per square foot (PSF) of RM192.
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 RM250K, with most transactions falling within a stable range of RM238K to RM250K, and a typical market range of RM226K to RM250K.
Most transactions involved 1 - 1 1/2 storey terraced, with minimal variety in property types.
For price per square foot, the median is RM192, with most transactions between RM183 and RM201. The usual range is RM182.20 to RM201.70, showing that most units are priced quite close to each other. A typical spread (IQR) of RM19.50 and an average deviation (MAD) of RM9 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.