Taman Lukut Makmur

Lorong Lukut Makmur 4, 71010 Port Dickson, Negeri Sembilan, Malaysia

Property Transactions

3 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM161,000
Jalan Lukut Makmur 1
1,249 sqft RM129 PSF
RM161,000
Lorong Lukut Makmur 1
1,249 sqft RM129 PSF
RM161,000
Lorong Makmur 1 Taman Lukut Makmur
1,249 sqft RM129 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Lukut Makmur? Homes here sold for a median of RM161,000.

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Auction Properties

1 auction properties in Taman Lukut Makmur

No. 287, Jalan Lukut Makmur 4, Taman Lukut Makmur, 71010, Lukut, Negeri Sembilan
Type Reserve Price Terrace RM153,000
PSF Size Auction Date RM117.47 1,302 sqft 15 Sep 2026

Market Snapshot

Residential

RM190,000

RM142 psf

Median transaction price

Taman Lukut Makmur
© OpenStreetMap · CARTO

Lorong Lukut Makmur 4, 71010 Port Dickson, Negeri Sembilan, Malaysia

Maps

Taman Lukut Makmur in Port Dickson, Negeri Sembilan recorded 3 subsale transactions between 2021 and 2026, sized between 1,225 and 1,274 sqft, with a median price of RM161K and a median price per square foot (PSF) of RM129.

This area contains both residential and commercial properties. View 20 residential properties or 3 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat.

Most transactions involved 1 - 1 1/2 storey terraced, though some variety exists in the market.

For price per square foot, the median is RM129, with most transactions between RM129 and RM129. The usual range is RM106.19 to RM151.69, showing that most units are priced quite close to each other. A typical spread (IQR) of RM45.50 and an average deviation (MAD) of RM0 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.