| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Sungaimachang
|
RM400,000
|
RM284
|
1,410 sqft
|
|
|
|
Jalan Ros 6
|
RM380,000
|
RM269
|
1,410 sqft
|
|
Posts about Taman Maju
No posts about Taman Maju yet. Be the first to share what’s happening here.
Nearby areas in Setul
Nilai Impian
Kawasan Perusahaan Nilai 3
Taman Semarak Ii
Taman Nusa Seri Cengal 2 & 3
Xme business park
Nilai Industrial Zone
Kawasan Perindustrian Nilai 3
Taman Desaria
Bandar Universiti Teknologi Lagenda
Taman Bukit Mantin
Taman Mantin Putra
Bandar Uni. Tekn. Lagenda (Sri Palma Villa)
Taman Maju
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Setul
Promote your property to visitors of this page
Market Snapshot
ResidentialRM390,000
RM277 psfMedian transaction price
Setul, Negeri Sembilan, Malaysia
MapsTaman Maju in Seremban, Negeri Sembilan recorded 2 subsale transactions between 2021 and 2026, with a median price of RM390K and a median price per square foot (PSF) of RM277.
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 RM390K, with most transactions falling within a stable range of RM380K to RM400K, and a typical market range of RM380K to RM400K.
Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.
For price per square foot, the median is RM277, with most transactions between RM269 and RM284. The usual range is RM233.70 to RM319.46, showing that most units are priced quite close to each other. With an IQR of RM85.75 and MAD of RM7, the PSF demonstrates reasonable consistency across the market.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.