Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
Posts about Taman Lukut Makmur
No posts about Taman Lukut Makmur yet. Be the first to share what’s happening here.
Auction Properties
1 auction properties in Taman Lukut Makmur
Nearby areas in Pekan Lukut
PR1MA @ Port Dickson
Bandar Dataran Segar
Taman Wawasan
Taman Lukut Makmur
Taman D'ambang Kota
Taman Lukut Lagenda
Pusat Perniagaan Lukut Utama
Bandar Baru Lukut
Taman Jaya Lukut
Taman Indah Jaya
Taman Sri Aman
Perindustrian Lukut Indah
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
Promote your property to visitors of this page
Market Snapshot
ResidentialRM80,000
RM114 psfMedian transaction price
Lorong Lukut Makmur 4, 71010 Port Dickson, Negeri Sembilan, Malaysia
MapsTaman Lukut Makmur in Port Dickson, Negeri Sembilan recorded 1 Town House properties subsale transactions between 2021 and 2026, with a median price of RM80K and a median price per square foot (PSF) of RM114.
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.
Within the Town House category, 1 - 1 1/2 storey terraced dominated the market, though some variety exists in the market.
For price per square foot, the median is RM114, with most transactions between RM114 and RM114. The usual range is RM91.59 to RM137.09, 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.
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.