Matahari Apartment

Jalan Berlian, Taman Senawang Jaya, 70450 Seremban, Negeri Sembilan, Malaysia

Property Transactions

5 subsales grouped by size

Median
RM 125,000
PSF
RM 194
Price Size
Period
transactions middle 50% (P25–P75)
650 sqft
LC Flat
RM 140,000
Level 1
646 sqft · RM 217 PSF
RM 115,000
Level 1
646 sqft · RM 178 PSF
RM 125,000
Level 2
646 sqft · RM 194 PSF
RM 130,000
Level 3
646 sqft · RM 201 PSF
RM 124,000
Level 1
646 sqft · RM 192 PSF
Legend Recent Highest Price Highest PSF

Posts about Matahari Apartment

What’s happening in Matahari Apartment?

No posts about Matahari Apartment yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM 125,000

RM 194 psf

Median transaction price

Loading map...

Jalan Berlian, Taman Senawang Jaya, 70450 Seremban, Negeri Sembilan, Malaysia

Maps

Matahari Apartment in Seremban, Negeri Sembilan recorded 5 subsale transactions between 2021 and 2026, with a median price of RM 125K and a median price per square foot (PSF) of RM 194.

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 125K, with most transactions falling within a stable range of RM 117K to RM 133K, and a typical market range of RM 117K to RM 133K.

Most transactions involved low-cost flat, with minimal variety in property types.

For price per square foot, the median is RM 194, with most transactions between RM 181 and RM 206. The usual range is RM 180.80 to RM 206.30, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 25.50 and an average deviation (MAD) of RM 13 indicate a highly stable PSF trend across properties.

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.