Taman Merpati

70450 Seremban, Negeri Sembilan, Malaysia

Property Transactions

2 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM390,000
Jalan Tm 2
2,831 sqft RM138 PSF
RM465,000
Lorong Tm 4/2
2,831 sqft RM164 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Merpati? Homes here sold for a median of RM427,500.

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Auction Properties

1 auction properties in Taman Merpati

No. 328, Lorong TM 7/4, Taman Merpati, 70450, Seremban, Negeri Sembilan
Type Reserve Price Terrace RM420,000
PSF Size Auction Date RM201.13 2,088 sqft 07 Sep 2026

Market Snapshot

Residential

RM427,500

RM151 psf

Median transaction price

Taman Merpati
© OpenStreetMap · CARTO

Taman Merpati, 70450 Seremban, Negeri Sembilan, Malaysia

Maps

Taman Merpati in Seremban, Negeri Sembilan recorded 2 subsale transactions between 2021 and 2026, sized between 2,825 and 2,874 sqft, with a median price of RM428K and a median price per square foot (PSF) of RM151.

This area contains both residential and commercial properties. View 16 residential properties or 4 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM428K, with most transactions falling within a stable range of RM390K to RM465K, and a typical market range of RM390K to RM465K.

Most transactions involved low-cost flat, with high diversity across multiple property types.

For price per square foot, the median is RM151, with most transactions between RM138 and RM164. The usual range is RM86.51 to RM215.51, showing that most units are priced quite close to each other. With an IQR of RM129.00 and MAD of RM13, the PSF demonstrates reasonable consistency across the market.

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.