| LIST.MY · Taman Margosa Height | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Jalan Margosa 9
|
RM300,000
|
RM192
|
1,561 sqft
|
|
Terrace |
|
Jalan Margosa Heights 7
|
RM290,000
|
RM186
|
1,561 sqft
|
|
Terrace |
| 2023 | |||||
|
Lorong Margosa 9
|
RM265,000
|
RM170
|
1,561 sqft
|
|
Terrace |
|
Jalan Margosa 9
|
RM300,000
|
RM192
|
1,561 sqft
|
|
Terrace |
| 2022 | |||||
|
Jalan Margosa 7
|
RM330,000
|
RM211
|
1,561 sqft
|
|
Terrace |
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Taman Margosa Height
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 Ampangan
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Market Snapshot
ResidentialRM300,000
RM192 psfMedian transaction price
Taman Bukit Margosa, 70400 Seremban, Negeri Sembilan, Malaysia
MapsTaman Margosa Height in Seremban, Negeri Sembilan recorded 5 subsale transactions between 2021 and 2026, sized between 1,525 and 1,574 sqft, with a median price of RM300K and a median price per square foot (PSF) of RM192.
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 RM300K, with most transactions falling within a stable range of RM279K to RM321K, and a typical market range of RM270K to RM330K.
Most transactions involved 1 - 1 1/2 storey terraced, with moderate diversity in property types available.
For price per square foot, the median is RM192, with most transactions between RM179 and RM206. The usual range is RM171.09 to RM213.34, showing that most units are priced quite close to each other. A typical spread (IQR) of RM42.25 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.