Taman Rashibah Indah

186, Lorong Molek 2, Taman Rashibah Indah, 70400 Seremban, Negeri Sembilan, Malaysia

Property Transactions

4 subsales grouped by size

Median
RM 227,500
PSF
RM 189
Price Size
Period
transactions middle 50% (P25–P75)
1,200 sqft
LC House
RM 225,000
Lorong Sri Wangi 1
1,206 sqft · RM 187 PSF
RM 230,000
Lor. Sri Wngi 1
1,206 sqft · RM 191 PSF
1,550 sqft
Terrace
RM 180,000
Jalan Molek
1,539 sqft · RM 117 PSF
1,900 sqft
2-Sty Terrace
RM 450,000
Jalan Sri Wangi
1,905 sqft · RM 236 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 227,500

RM 189 psf

Median transaction price

Taman Rashibah Indah
© OpenStreetMap · CARTO

Taman Rashibah Indah, 186, Lorong Molek 2, Taman Rashibah Indah, 70400 Seremban, Negeri Sembilan, Malaysia

Maps

Taman Rashibah Indah in Seremban, Negeri Sembilan recorded 4 subsale transactions in 2024, with a median price of RM 228K and a median price per square foot (PSF) of RM 189.

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 228K, with most transactions falling within a stable range of RM 180K to RM 333K, and a typical market range of RM 180K to RM 355K.

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

Price per square foot shows a median of RM 189, though individual units vary from RM 146 to RM 231 in the core range. The broader market spans RM 131.21 to RM 246.21, indicating diverse property characteristics. The spread of RM 115.00 (IQR) and deviation of RM 43 (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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.