| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong Dak9 2/2
|
RM 220,000
|
RM 209
|
1,055 sqft
|
|
|
|
Lorong Dak 2/2
|
RM 210,000
|
RM 199
|
1,055 sqft
|
|
|
Lorong Dak 5/9
|
RM 150,000
|
RM 115
|
1,302 sqft
|
|
|
Lorong Dak 2/3
|
RM 160,000
|
RM 107
|
1,496 sqft
|
|
|
|
Lorong Dak 2/3
|
RM 180,000
|
RM 120
|
1,496 sqft
|
|
|
|
Lorong Dak 2/4
|
RM 160,000
|
RM 107
|
1,496 sqft
|
|
|
|
Lorong Dak 2/3
|
RM 268,000
|
RM 179
|
1,496 sqft
|
|
|
|
Lorong Dak 2/4
|
RM 150,000
|
RM 100
|
1,496 sqft
|
|
Posts about Taman D'ambang Kota
No posts about Taman D'ambang Kota yet. Be the first to share what’s happening here.
Promote your property to visitors of this page
Market Snapshot
ResidentialRM 170,000
RM 118 psfMedian transaction price
71010 Port Dickson, Negeri Sembilan, Malaysia
MapsTaman D'ambang Kota in Port Dickson, Negeri Sembilan recorded 8 subsale transactions in 2022, with a median price of RM 170K and a median price per square foot (PSF) of RM 118.
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 RM 170K, with most transactions falling within a stable range of RM 150K to RM 209K, and a typical market range of RM 150K to RM 214K.
Most transactions involved 1 - 1 1/2 storey terraced, though some variety exists in the market.
Price per square foot shows a median of RM 118, though individual units vary from RM 75 to RM 160 in the core range. The broader market spans RM 83.49 to RM 151.99, indicating diverse property characteristics. A wider spread (IQR: RM 68.50) and deviation (MAD: RM 43) indicate significant PSF variations, likely due to diverse property types or conditions.
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.