| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Seremban-Pd
|
RM479,000
|
RM247
|
1,938 sqft
|
|
|
|
Jalan Seremban-Pd
|
RM569,000
|
RM294
|
1,938 sqft
|
|
|
|
Jalan Seremban-Pd
|
RM510,000
|
RM263
|
1,938 sqft
|
|
|
|
Jalan Seremban-Pd
|
RM549,000
|
RM283
|
1,938 sqft
|
|
|
|
Jalan Seremban-Pd
|
RM549,000
|
RM283
|
1,938 sqft
|
|
|
|
Jalan Seremban-Pd
|
RM569,000
|
RM294
|
1,938 sqft
|
|
|
|
Jalan Seremban-Pd
|
RM569,000
|
RM294
|
1,938 sqft
|
|
|
|
Jalan Seremban-Pd
|
RM569,000
|
RM294
|
1,938 sqft
|
|
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Taman Lukut Elysia
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
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Market Snapshot
ResidentialRM559,000
RM345 psfMedian transaction price
Malaysia, Negeri Sembilan, Port Dickson, Lukut, Lot 2270/ 27, 71010
MapsTaman Lukut Elysia in Port Dickson, Negeri Sembilan recorded 8 subsale transactions between 2021 and 2026, with a median price of RM559K and a median price per square foot (PSF) of RM294.
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 RM559K, with most transactions falling within a stable range of RM549K to RM569K, and a typical market range of RM544K to RM569K.
Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.
For price per square foot, the median is RM294, with most transactions between RM289 and RM299. The usual range is RM285.81 to RM301.56, showing that most units are priced quite close to each other. A typical spread (IQR) of RM15.75 and an average deviation (MAD) of RM5 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.