Taman Sikamat Utama

70400 Seremban, Negeri Sembilan, Malaysia

Property Transactions

3 subsales grouped by size · Terrace →

Median
RM 220,000
PSF
RM 149
Price Size
Period
transactions middle 50% (P25–P75)
850 sqft
2-Sty Terrace
RM 210,000
Jalan Meranti 12
840 sqft · RM 250 PSF
1,550 sqft
Terrace
RM 230,000
Jalan Meranti 11
1,539 sqft · RM 149 PSF
1,750 sqft
Terrace
RM 220,000
Jalan Meranti 6
1,765 sqft · RM 125 PSF
Legend Recent Highest Price Highest PSF

Posts about Taman Sikamat Utama

What’s happening in Taman Sikamat Utama?

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

Market Snapshot

Residential

RM 220,000

RM 149 psf

Median transaction price

Taman Sikamat Utama
© OpenStreetMap · CARTO

Taman Sikamat Utama, 70400 Seremban, Negeri Sembilan, Malaysia

Maps

Taman Sikamat Utama in Seremban, Negeri Sembilan recorded 3 subsale transactions in 2023, with a median price of RM 220K and a median price per square foot (PSF) of RM 149.

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 220K, with most transactions falling within a stable range of RM 212K to RM 228K, and a typical market range of RM 210K to RM 230K.

Most transactions involved 1 - 1 1/2 storey terraced, with minimal variety in property types.

Price per square foot shows a median of RM 149, though individual units vary from RM 95 to RM 204 in the core range. The broader market spans RM 128.17 to RM 170.67, indicating diverse property characteristics. A wider spread (IQR: RM 42.50) and deviation (MAD: RM 54) indicate significant PSF variations, likely due to diverse property types or conditions.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.