Taman Makmur

70200 Seremban, Negeri Sembilan, Malaysia

Property Transactions

2 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,200 sqft
Terrace
RM210,000
Jalan Templer, S'ban
1,195 sqft · RM176 PSF
2,800 sqft
Terrace
RM340,000
Jalan Bijih Timah 12/1
2,799 sqft · RM121 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Makmur? Homes here sold for a median of RM275,000.

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

List your property free

Posts about Taman Makmur

What’s happening in Taman Makmur?

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

Market Snapshot

Residential

RM275,000

RM149 psf

Median transaction price

Taman Makmur
© OpenStreetMap · CARTO

Taman Makmur, 70200 Seremban, Negeri Sembilan, Malaysia

Maps

Taman Makmur in Seremban, Negeri Sembilan recorded 2 subsale transactions between 2021 and 2026, with a median price of RM275K and a median price per square foot (PSF) of RM149.

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 RM275K, with most transactions falling within a stable range of RM210K to RM340K, and a typical market range of RM210K to RM340K.

Most transactions involved 1 - 1 1/2 storey terraced, with moderate diversity in property types available.

The median PSF stands at RM149, with core pricing between RM121 and RM176. Market pricing typically extends from RM119.88 to RM177.13, reflecting moderate variation in unit pricing. The spread of RM57.25 (IQR) and deviation of RM28 (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.