Taman Alamanda

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

Property Transactions

6 subsales grouped by size · 2-Sty Terrace →

Median
RM 305,000
PSF
RM 257
Price Size
1,000 sqft
LC House
RM 230,000
Jalan Alamanda 1
990 sqft · RM 232 PSF
RM 260,000
Jalan Alamanda 1
990 sqft · RM 263 PSF
1,150 sqft
2-Sty Terrace
RM 300,000
Jalan Alamanda 6
1,130 sqft · RM 265 PSF
RM 330,000
Jalan Alamanda 6
1,130 sqft · RM 292 PSF
1,450 sqft
2-Sty Terrace
RM 369,000
Jalan Alamanda 6
1,464 sqft · RM 252 PSF
RM 310,000
Lorong Alamanda 2/3
1,464 sqft · RM 212 PSF
Legend Recent Highest Price Highest PSF

Posts about Taman Alamanda

Market Snapshot

Residential

RM 305,000

RM 257 psf

Median transaction price

Taman Alamanda
© OpenStreetMap · CARTO

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

Maps

Taman Alamanda in Seremban, Negeri Sembilan recorded 6 subsale transactions in 2023, with a median price of RM 305K and a median price per square foot (PSF) of RM 257.

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 305K, with most transactions falling within a stable range of RM 260K to RM 350K, and a typical market range of RM 273K to RM 338K.

Most transactions involved 2 - 2 1/2 storey terraced, though some variety exists in the market.

For price per square foot, the median is RM 257, with most transactions between RM 232 and RM 283. The usual range is RM 236.81 to RM 277.81, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 41.00 and an average deviation (MAD) of RM 25 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.