| LIST.MY · Taman Desa Orkid (Ampangan) | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Jalan 2
|
RM300,000
|
RM251
|
1,195 sqft
|
|
2-Sty Terrace |
|
Jalan Desa Orkid 4
|
RM310,000
|
RM259
|
1,195 sqft
|
|
2-Sty Terrace |
|
Lorong Desa Orkid 1/3
|
RM280,000
|
RM234
|
1,195 sqft
|
|
2-Sty Terrace |
|
Lorong Desa Orkid 1/4
|
RM334,000
|
RM280
|
1,195 sqft
|
|
2-Sty Terrace |
Selling in Taman Desa Orkid (Ampangan)? Homes here sold for a median of RM305,000.
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Taman Desa Orkid (Ampangan)
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 Senawang
Market Snapshot
ResidentialRM305,000
RM255 psfMedian transaction price
Taman Desa Orkid, 70400 Seremban, Negeri Sembilan, Malaysia
MapsTaman Desa Orkid (Ampangan) in Seremban, Negeri Sembilan recorded 4 subsale transactions in 2024, with a median price of RM305K and a median price per square foot (PSF) of RM255.
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 RM305K, with most transactions falling within a stable range of RM286K to RM324K, and a typical market range of RM290K to RM320K.
Most transactions involved 2 - 2 1/2 storey terraced, though some variety exists in the market.
For price per square foot, the median is RM255, with most transactions between RM239 and RM272. The usual range is RM241.27 to RM269.27, showing that most units are priced quite close to each other. A typical spread (IQR) of RM28.00 and an average deviation (MAD) of RM16 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.