Rimbun Irama @ S2 Heights

144, Jln Saujana Sutera 3, 70300 Seremban, Negeri Sembilan, Malaysia

Property Transactions

5 subsales grouped by size

Median
RM 630,000
PSF
RM 350
Price Size
1,600 sqft
2-Sty Terrace
RM 675,000
Jalan Rimbun Irama 3
1,593 sqft · RM 424 PSF
1,750 sqft
2-Sty Terrace
RM 560,000
Jalan Rimbun Irama 8
1,765 sqft · RM 317 PSF
1,800 sqft
2-Sty Terrace
RM 617,000
Jalan Rimbun Irama 2
1,798 sqft · RM 343 PSF
RM 630,000
Jalan Seremban - Sendayan
1,798 sqft · RM 350 PSF
2,000 sqft
2-Sty Terrace
RM 1,080,000
Jalan Rimbun Irama 1
2,024 sqft · RM 534 PSF
Legend Recent Highest Price Highest PSF

Posts about Rimbun Irama @ S2 Heights

Market Snapshot

Residential

RM 630,000

RM 350 psf

Median transaction price

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144, Jln Saujana Sutera 3, 70300 Seremban, Negeri Sembilan, Malaysia

Maps

Rimbun Irama @ S2 Heights in Seremban, Negeri Sembilan recorded 5 subsale transactions in 2022, with a median price of RM 630K and a median price per square foot (PSF) of RM 350.

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 630K, with most transactions falling within a stable range of RM 560K to RM 817K, and a typical market range of RM 560K to RM 790K.

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

Price per square foot shows a median of RM 350, though individual units vary from RM 272 to RM 429 in the core range. The broader market spans RM 322.47 to RM 378.47, indicating diverse property characteristics. The spread of RM 56.00 (IQR) and deviation of RM 78 (MAD) suggest moderate price variations reflecting different property features.

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.