Taman Mulia

71700 Mantin, Negeri Sembilan, Malaysia

Property Transactions

1 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,950 sqft
2-Sty Terrace
RM400,000
Jalan Tm 11
1,927 sqft · RM208 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Mulia? Homes here sold for a median of RM400,000.

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

List your property free

Posts about Taman Mulia

What’s happening in Taman Mulia?

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

Market Snapshot

Residential

RM400,000

RM208 psf

Median transaction price

Average

Does TAMAN MULIA rent out well?

Gross yield, median rent and sale psf — worked out from transacted prices and asking rents.

See the yield with Plus

RM59 a month, cancel any time

Taman Mulia
© OpenStreetMap · CARTO

Taman Mulia, 71700 Mantin, Negeri Sembilan, Malaysia

Maps

Taman Mulia in Seremban, Negeri Sembilan recorded 1 subsale transactions between 2021 and 2026, sized between 1,925 and 1,974 sqft, with a median price of RM400K and a median price per square foot (PSF) of RM208.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat.

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

For price per square foot, the median is RM208, with most transactions between RM208 and RM208. The usual range is RM207.23 to RM207.98, showing that most units are priced quite close to each other. A typical spread (IQR) of RM0.75 and an average deviation (MAD) of RM0 indicate a highly stable PSF trend across properties.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.