| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Palas 7
|
RM 150,000
|
RM 124
|
1,206 sqft
|
|
|
|
Jalan Seremban/Jelebu
|
RM 120,000
|
RM 100
|
1,206 sqft
|
|
|
|
Batu 3 Jalan Seremban / Jelebu
|
RM 130,000
|
RM 109
|
1,195 sqft
|
|
|
|
Km 6 Jalan Seremban / Sikamat
|
RM 200,000
|
RM 167
|
1,200 sqft
|
|
|
|
Km 6 Jalan Seremban / Sikamat
|
RM 130,000
|
RM 108
|
1,206 sqft
|
|
|
Jalan Palas 6
|
RM 200,000
|
RM 163
|
1,227 sqft
|
|
|
Jalan Seremban / Jelebu
|
RM 200,000
|
RM 147
|
1,356 sqft
|
|
Posts about Rumah Rakyat Sikamat 2
No posts about Rumah Rakyat Sikamat 2 yet. Be the first to share what’s happening here.
Promote your property to visitors of this page
Market Snapshot
ResidentialRM 150,000
RM 124 psfMedian transaction price
Rumah Rakyat Sikamat 2, 70400 Seremban, Negeri Sembilan, Malaysia
MapsRumah Rakyat Sikamat 2 in Seremban, Negeri Sembilan recorded 7 subsale transactions between 2021 and 2026, with a median price of RM 150K and a median price per square foot (PSF) of RM 124.
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 RM 150K, with most transactions falling within a stable range of RM 120K to RM 184K, and a typical market range of RM 120K to RM 185K.
Most transactions involved low-cost house, with minimal variety in property types.
Price per square foot shows a median of RM 124, though individual units vary from RM 98 to RM 150 in the core range. The broader market spans RM 109.00 to RM 139.00, indicating diverse property characteristics. The spread of RM 30.00 (IQR) and deviation of RM 26 (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.