| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan S2 H8
|
RM400,000
|
RM265
|
1,507 sqft
|
|
|
|
Jalan S2 H5
|
RM500,000
|
RM332
|
1,507 sqft
|
|
|
|
Jalan S2 H3
|
RM430,000
|
RM285
|
1,507 sqft
|
|
|
|
Jalan S2 H2
|
RM440,000
|
RM292
|
1,507 sqft
|
|
|
|
Jalan S2 H7
|
RM410,000
|
RM272
|
1,507 sqft
|
|
|
Jalan S2 H4
|
RM450,000
|
RM244
|
1,841 sqft
|
|
|
Jalan S2 H9
|
RM595,000
|
RM297
|
2,002 sqft
|
|
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Park Avenue @ Seremban 2
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 Bandar Seremban Utama
Market Snapshot
ResidentialRM440,000
RM285 psfMedian transaction price
Bandar Seremban, Seremban, Negeri Sembilan, Malaysia
MapsPark Avenue @ Seremban 2 in Seremban, Negeri Sembilan recorded 7 Double Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM440K and a median price per square foot (PSF) of RM285.
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 RM440K, with most transactions falling within a stable range of RM400K to RM502K, and a typical market range of RM400K to RM588K.
Within the Double Storey Terraced category, 2 - 2 1/2 storey terraced dominated the market, with high diversity across multiple property types.
For price per square foot, the median is RM285, with most transactions between RM260 and RM311. The usual range is RM261.59 to RM309.09, showing that most units are priced quite close to each other. A typical spread (IQR) of RM47.50 and an average deviation (MAD) of RM26 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.