Taman Desa Temiang

Temiang - Pantai Hwy, Negeri Sembilan, Malaysia

Property Transactions

1 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,300 sqft
Terrace
RM170,000
Jalan 2
1,324 sqft · RM128 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Desa Temiang? Homes here sold for a median of RM170,000.

Free to list, about two minutes, and the buyers reading this page will see it.

List your property free

Posts about Taman Desa Temiang

What’s happening in Taman Desa Temiang?

No posts about Taman Desa Temiang yet. Be the first to share what’s happening here.

Nearby areas in Pekan Ulu Temiang

Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Pekan Ulu Temiang

Market Snapshot

Residential

RM170,000

RM128 psf

Median transaction price

Taman Desa Temiang
© OpenStreetMap · CARTO

Temiang - Pantai Hwy, Negeri Sembilan, Malaysia

Maps

Taman Desa Temiang in Seremban, Negeri Sembilan recorded 1 subsale transactions between 2021 and 2026, sized between 1,275 and 1,324 sqft, with a median price of RM170K and a median price per square foot (PSF) of RM128.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat.

Most transactions involved 1 - 1 1/2 storey terraced, with minimal variety in property types.

For price per square foot, the median is RM128, with most transactions between RM128 and RM128. The usual range is RM104.15 to RM152.65, showing that most units are priced quite close to each other. A typical spread (IQR) of RM48.50 and an average deviation (MAD) of RM0 indicate a highly stable PSF trend across properties.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.