Rimba Residensi

3, Jalan Residensi 1, Rasah Kemayan, 70300 Seremban, Negeri Sembilan, Malaysia

Property Transactions

3 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,700 sqft
2-Sty Terrace
RM800,000
Jalan Residensi 4
1,711 sqft · RM467 PSF
1,800 sqft
2-Sty Terrace
RM625,000
Jalan Rimba Residensi 4
1,798 sqft · RM348 PSF
2,000 sqft
2-Sty Terrace
RM800,000
Jalan Residensi 1
2,002 sqft · RM400 PSF
Legend Recent Highest Price Highest PSF

Posts about Rimba Residensi

What’s happening in Rimba Residensi?

No posts about Rimba Residensi yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM800,000

RM400 psf

Median transaction price

Rimba Residensi @ Rasah Kemayan
© OpenStreetMap · CARTO

Rimba Residensi, 3, Jalan Residensi 1, Rasah Kemayan, 70300 Seremban, Negeri Sembilan, Malaysia

Maps

Rimba Residensi in Seremban, Negeri Sembilan recorded 3 subsale transactions between 2021 and 2026, with a median price of RM800K and a median price per square foot (PSF) of RM400.

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 RM800K, with most transactions falling within a stable range of RM718K to RM800K, and a typical market range of RM708K to RM800K.

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

The median PSF stands at RM400, with core pricing between RM351 and RM448. Market pricing typically extends from RM377.33 to RM421.83, reflecting moderate variation in unit pricing. With an IQR of RM44.50 and MAD of RM49, 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. 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.