Taman Sikamat

70400 Seremban, Negeri Sembilan, Malaysia

Property Transactions

6 subsales grouped by size

Period
transactions middle 50% (P25–P75)
1,250 sqft
2-Sty Terrace
RM136,000
Jalan Sban-Sikamat
1,227 sqft · RM111 PSF
RM250,000
Off Km 3 Jalan Sikamat
1,227 sqft · RM204 PSF
RM320,000
Off Km 3 Jalan Sikamat
1,227 sqft · RM261 PSF
1,750 sqft
Terrace
RM250,000
Off Km 3 Jalan Sikamat
1,760 sqft · RM142 PSF
RM130,000
Off Km 3 Jalan Sikamat
1,760 sqft · RM74 PSF
15,000 sqft
Bungalow
RM950,000
Ban/ Sikamat
15,001 sqft · RM63 PSF
Legend Recent Highest Price Highest PSF

Posts about Taman Sikamat

What’s happening in Taman Sikamat?

No posts about Taman Sikamat yet. Be the first to share what’s happening here.

Loading map...

Taman Sikamat, 70400 Seremban, Negeri Sembilan, Malaysia

Maps

Taman Sikamat in Seremban, Negeri Sembilan recorded 6 subsale transactions between 2021 and 2026, with a median price of RM250K and a median price per square foot (PSF) of RM142.

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 RM250K, with most transactions falling within a stable range of RM158K to RM342K, and a typical market range of RM181K to RM319K.

Most transactions involved 2 - 2 1/2 storey terraced, with moderate diversity in property types available.

Price per square foot shows a median of RM142, though individual units vary from RM108 to RM176 in the core range. The broader market spans RM108.43 to RM175.68, indicating diverse property characteristics. The spread of RM67.25 (IQR) and deviation of RM34 (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.