Taman Angsamas 2

Taman Angsamas, Kampung Bemban Hilir, 70300 Seremban, Negeri Sembilan, Malaysia

Property Transactions

10 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,400 sqft
Terrace
RM225,000
Jalan Seremban-Rantau
1,399 sqft · RM161 PSF
2,100 sqft
2-Sty Terrace
RM378,000
Jalan Seremban-Rantau
2,088 sqft · RM181 PSF
RM435,000
Jalan Seremban-Rantau
2,088 sqft · RM208 PSF
RM475,000
Jalan Seremban-Rantau
2,088 sqft · RM227 PSF
RM498,000
Jalan Seremban-Rantau
2,088 sqft · RM238 PSF
RM452,000
Jalan Seremban-Rantau
2,088 sqft · RM216 PSF
RM558,000
Jalan Seremban-Rantau
2,088 sqft · RM267 PSF
+3 more
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM443,500

RM212 psf

Median transaction price

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Taman Angsamas, Kampung Bemban Hilir, 70300 Seremban, Negeri Sembilan, Malaysia

Maps

Taman Angsamas 2 in Seremban, Negeri Sembilan recorded 10 subsale transactions in 2021, with a median price of RM444K and a median price per square foot (PSF) of RM212.

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 RM444K, with most transactions falling within a stable range of RM344K to RM543K, and a typical market range of RM248K to RM558K.

Most transactions involved 2 - 2 1/2 storey terraced, though some variety exists in the market.

The median PSF stands at RM212, with core pricing between RM173 and RM252. Market pricing typically extends from RM119.13 to RM305.63, reflecting moderate variation in unit pricing. The spread of RM186.50 (IQR) and deviation of RM40 (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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.