Rumah Pangsa Cempaka 4

Bandar Nilai Utama, Nilai Impian, 71800 Nilai, Negeri Sembilan, Malaysia

Property Transactions

7 subsales grouped by size · LC Flat →

Median
RM 110,000
PSF
RM 178

Property Type

Price Size
RM 105,000
Level 1
619 sqft · RM 170 PSF
RM 115,000
Level 1
619 sqft · RM 186 PSF
RM 110,000
Level 2
619 sqft · RM 178 PSF
RM 90,000
Level 2
619 sqft · RM 145 PSF
RM 110,000
Level 1
619 sqft · RM 178 PSF
RM 110,000
Level 4
619 sqft · RM 178 PSF
RM 92,000
Level G
619 sqft · RM 149 PSF
Legend Recent Highest Price Highest PSF

Posts about Rumah Pangsa Cempaka 4

Log in to post about Rumah Pangsa Cempaka 4

No posts about Rumah Pangsa Cempaka 4 yet. Be the first to share what’s happening here.

Rumah Pangsa Cempaka 4
© OpenStreetMap · CARTO

Bandar Nilai Utama, Nilai Impian, 71800 Nilai, Negeri Sembilan, Malaysia

Maps

Rumah Pangsa Cempaka 4 in Seremban, Negeri Sembilan recorded 7 subsale transactions in 2023, with a median price of RM 110K and a median price per square foot (PSF) of RM 178.

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 110K, with most transactions falling within a stable range of RM 101K to RM 115K, and a typical market range of RM 100K to RM 115K.

Most transactions involved low-cost flat, though some variety exists in the market.

For price per square foot, the median is RM 178, with most transactions between RM 163 and RM 192. The usual range is RM 161.23 to RM 194.23, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 33.00 and an average deviation (MAD) of RM 15 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.