| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan S2 G11
|
RM290,000
|
RM262
|
1,109 sqft
|
|
|
|
Jalan S2 G11
|
RM385,000
|
RM347
|
1,109 sqft
|
|
|
Jalan S2 G 16
|
RM350,000
|
RM244
|
1,432 sqft
|
|
|
Jalan S2 G14
|
RM680,000
|
RM454
|
1,496 sqft
|
|
|
Jalan S2 G15
|
RM470,000
|
RM241
|
1,948 sqft
|
|
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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 Bandar Seremban Utama
Market Snapshot
RM385,000
RM262 psfMedian transaction price
RM650,000
RM491 psfMedian transaction price
Bandar Seremban, Seremban, Negeri Sembilan, Malaysia
MapsGarden Avenue @Seremban 2 in Seremban, Negeri Sembilan recorded 5 Double Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM385K and a median price per square foot (PSF) of RM262.
This area contains both residential and commercial properties. View 28 residential properties or 7 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM385K, with most transactions falling within a stable range of RM290K to RM521K, and a typical market range of RM290K to RM513K.
Within the Double Storey Terraced category, low-cost flat dominated the market, with high diversity across multiple property types.
Price per square foot shows a median of RM262, though individual units vary from RM180 to RM344 in the core range. The broader market spans RM214.82 to RM308.32, indicating diverse property characteristics. A wider spread (IQR: RM93.50) and deviation (MAD: RM82) 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.