| Road | Price | PSF | Size | Date | Type |
|---|
|
Off Jalan Rasah Kemayan
|
RM1,108,000
|
RM337
|
3,287 sqft
|
|
Posts about Taman Bukit Kemayan (Kemayan Heights)
No posts about Taman Bukit Kemayan (Kemayan Heights) yet. Be the first to share what’s happening here.
Nearby areas in Rasah
Pinggiran Bayu ( Mantau )
Taman Angsamas
Ara Sendayan @ Bandar Sri Sendayan
Taman Mantau Indah
Garden Avenue @ Seremban 2
Bandar Seremban Ii
Kemayan Country Township (Rasah Kemayan)
Taman Layang-Layang
Taman Bukit Kemayan (Kemayan Heights)
Garden Avenue @Seremban 2
Taman Rasah Jaya V
Bandar Seremban 3
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 Rasah
Market Snapshot
ResidentialRM1,108,000
RM337 psfMedian transaction price
23, Jalan RK 4/1, 70300 Seremban, Negeri Sembilan, Malaysia
MapsTaman Bukit Kemayan (Kemayan Heights) in Seremban, Negeri Sembilan recorded 1 Single Storey Semi-D properties subsale transactions between 2021 and 2026, with a median price of RM1.11 million and a median price per square foot (PSF) of RM337.
This area consists exclusively of residential properties, with no commercial listings recorded.
Price remained flat, and PSF growth was PSF remained flat.
Within the Single Storey Semi-D category, 2 - 2 1/2 storey semi-detached dominated the market, with minimal variety in property types.
For price per square foot, the median is RM337, with most transactions between RM337 and RM337. The usual range is RM318.55 to RM355.55, showing that most units are priced quite close to each other. A typical spread (IQR) of RM37.00 and an average deviation (MAD) of RM0 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.