Taman Rahang

70100 Seremban, Negeri Sembilan, Malaysia

Property Transactions

2 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM255,000
Jalan. S,Ban/Tampin(Lama)
2,325 sqft RM110 PSF
RM260,000
Jalan Nenas 1/2
2,325 sqft RM112 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Rahang? Homes here sold for a median of RM257,500.

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

List your property free

Posts about Taman Rahang

What’s happening in Taman Rahang?

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

Market Snapshot

Residential

RM250,000

RM125 psf

Median transaction price

Taman Rahang
© OpenStreetMap · CARTO

Taman Rahang, 70100 Seremban, Negeri Sembilan, Malaysia

Maps

Taman Rahang in Seremban, Negeri Sembilan recorded 2 subsale transactions between 2021 and 2026, sized between 2,325 and 2,374 sqft, with a median price of RM258K and a median price per square foot (PSF) of RM111.

This area contains both residential and commercial properties. View 9 residential properties or 2 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM258K, with most transactions falling within a stable range of RM255K to RM260K, and a typical market range of RM255K to RM260K.

Most transactions involved 1 - 1 1/2 storey terraced, with high diversity across multiple property types.

For price per square foot, the median is RM111, with most transactions between RM110 and RM112. The usual range is RM84.00 to RM137.50, showing that most units are priced quite close to each other. With an IQR of RM53.50 and MAD of RM1, 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.