Taman Merpati

70450 Seremban, Negeri Sembilan, Malaysia

Property Transactions

1 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM775,000
Lorong Tm 7/1
4,402 sqft RM176 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Merpati? Homes here sold for a median of RM775,000.

Free to list, about two minutes, and the buyers reading this page will see it.

List your property free

Posts about Taman Merpati

What’s happening in Taman Merpati?

No posts about Taman Merpati yet. Be the first to share what’s happening here.

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

RM775,000

RM176 psf

Median transaction price

Taman Merpati
© OpenStreetMap · CARTO

Taman Merpati, 70450 Seremban, Negeri Sembilan, Malaysia

Maps

Taman Merpati in Seremban, Negeri Sembilan recorded 1 subsale transactions between 2021 and 2026, sized between 4,375 and 4,424 sqft, with a median price of RM775K and a median price per square foot (PSF) of RM176.

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.

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

For price per square foot, the median is RM176, with most transactions between RM176 and RM176. The usual range is RM111.54 to RM240.54, showing that most units are priced quite close to each other. With an IQR of RM129.00 and MAD of RM0, 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.