| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Kemboja 4
|
RM280,000
|
RM173
|
1,615 sqft
|
|
|
Jalan Sikamat
|
RM238,000
|
RM143
|
1,665 sqft
|
|
|
|
Jalan Kemboja 8
|
RM240,000
|
RM144
|
1,668 sqft
|
|
|
|
Jalan Kemboja 7
|
RM240,000
|
RM145
|
1,658 sqft
|
|
|
Jalan Kemboja 7
|
RM200,000
|
RM118
|
1,701 sqft
|
|
|
Jalan Sikamat
|
RM558,000
|
RM230
|
2,422 sqft
|
|
Selling in Taman Megaway? Homes here sold for a median of RM240,000.
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Taman Megaway
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 Sikamat
Market Snapshot
ResidentialRM240,000
RM144 psfMedian transaction price
Taman Megaway, 70400 Seremban, Negeri Sembilan, Malaysia
MapsTaman Megaway in Seremban, Negeri Sembilan recorded 6 subsale transactions in 2023, with a median price of RM240K and a median price per square foot (PSF) of RM144.
This area contains both residential and commercial properties. View 11 residential properties or 1 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM240K, with most transactions falling within a stable range of RM200K to RM361K, and a typical market range of RM224K to RM256K.
Most transactions involved 1 - 1 1/2 storey terraced, with minimal variety in property types.
Price per square foot shows a median of RM144, though individual units vary from RM108 to RM180 in the core range. The broader market spans RM134.57 to RM154.07, indicating diverse property characteristics. The spread of RM19.50 (IQR) and deviation of RM36 (MAD) suggest moderate price variations reflecting different property features.
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.