Taman Marida I

Jalan Berlian, Taman Senawang Jaya, 70450 Seremban, Negeri Sembilan, Malaysia

Property Transactions

7 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,550 sqft
Terrace
RM320,000
Jalan Anggerik
1,540 sqft · RM208 PSF
RM280,000
Jalan Anggerik
1,540 sqft · RM182 PSF
RM280,000
Jalan Kemboja
1,540 sqft · RM182 PSF
1,750 sqft
Terrace
RM280,000
Jalan Mawar 3
1,760 sqft · RM159 PSF
RM260,000
Jalan Mawar 3
1,760 sqft · RM148 PSF
6,850 sqft
Bungalow
RM526,000
Jalan Dahlia 1
6,835 sqft · RM77 PSF
8,950 sqft
Bungalow
RM480,000
Jalan Dahlia 1
8,925 sqft · RM54 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM280,000

RM159 psf

Median transaction price

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Jalan Berlian, Taman Senawang Jaya, 70450 Seremban, Negeri Sembilan, Malaysia

Maps

Taman Marida I in Seremban, Negeri Sembilan recorded 7 subsale transactions between 2021 and 2026, with a median price of RM280K and a median price per square foot (PSF) of RM159.

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 RM280K, with most transactions falling within a stable range of RM260K to RM381K, and a typical market range of RM260K to RM320K.

Most transactions involved 1 - 1 1/2 storey terraced, though some variety exists in the market.

Price per square foot shows a median of RM159, though individual units vary from RM106 to RM212 in the core range. The broader market spans RM138.23 to RM179.98, indicating diverse property characteristics. A wider spread (IQR: RM41.75) and deviation (MAD: RM53) indicate significant PSF variations, likely due to diverse property types or conditions.

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.