Taman Lukut Elysia

Malaysia, Negeri Sembilan, Port Dickson, Lukut, Lot 2270/ 27, 71010

Property Transactions

9 subsales grouped by size

Median
RM549,000
PSF
RM283
Period
transactions middle 50% (P25–P75)
1,950 sqft
2-Sty Terrace
RM499,000
Jalan Le 1
1,959 sqft · RM255 PSF
RM479,000
Jalan Seremban-Pd
1,938 sqft · RM247 PSF
RM569,000
Jalan Seremban-Pd
1,938 sqft · RM294 PSF
RM510,000
Jalan Seremban-Pd
1,938 sqft · RM263 PSF
RM549,000
Jalan Seremban-Pd
1,938 sqft · RM283 PSF
RM549,000
Jalan Seremban-Pd
1,938 sqft · RM283 PSF
+3 more
Legend Recent Highest Price Highest PSF

Selling in Taman Lukut Elysia? Homes here sold for a median of RM549,000.

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Market Snapshot

Residential

RM549,000

RM340 psf

Median transaction price

Taman Lukut Elysia
© OpenStreetMap · CARTO

Malaysia, Negeri Sembilan, Port Dickson, Lukut, Lot 2270/ 27, 71010

Maps

Taman Lukut Elysia in Port Dickson, Negeri Sembilan recorded 9 subsale transactions between 2021 and 2026, with a median price of RM549K and a median price per square foot (PSF) of RM283.

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 RM549K, with most transactions falling within a stable range of RM529K to RM569K, and a typical market range of RM520K 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 RM283, with most transactions between RM273 and RM293. The usual range is RM265.85 to RM300.85, showing that most units are priced quite close to each other. A typical spread (IQR) of RM35.00 and an average deviation (MAD) of RM10 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.