Taman Politeknik
71050 Teluk Kemang, Negeri Sembilan, Malaysia
71050 Teluk Kemang, Negeri Sembilan, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Politeknik 24
|
RM280,000
|
RM215
|
1,302 sqft
|
|
|
|
Jalan Politeknik 8
|
RM240,000
|
RM184
|
1,302 sqft
|
|
|
|
Jalan Politeknik 18
|
RM270,000
|
RM207
|
1,302 sqft
|
|
|
|
Jalan Politeknik 13
|
RM245,000
|
RM188
|
1,302 sqft
|
|
Selling in Taman Politeknik? Homes here sold for a median of RM257,500.
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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 Teluk Kemang
Market Snapshot
ResidentialRM257,500
RM198 psfMedian transaction price
71050 Teluk Kemang, Negeri Sembilan, Malaysia
MapsTaman Politeknik in Port Dickson, Negeri Sembilan recorded 4 subsale transactions between 2021 and 2026, with a median price of RM258K and a median price per square foot (PSF) of RM198.
This area contains both residential and commercial properties. View 213 residential properties or 2 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM258K, with most transactions falling within a stable range of RM241K to RM274K, and a typical market range of RM240K to RM278K.
Most transactions involved 1 - 1 1/2 storey terraced, with minimal variety in property types.
For price per square foot, the median is RM198, with most transactions between RM185 and RM210. The usual range is RM180.00 to RM215.00, showing that most units are priced quite close to each other. A typical spread (IQR) of RM35.00 and an average deviation (MAD) of RM13 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.