Taman Molek

Gemas, 73400 Gemas, Negeri Sembilan, Malaysia

Property Transactions

7 subsales grouped by road

Period
transactions middle 50% (P25–P75)
RM130,000
4,090 sqft
RM32 PSF
RM85,000
1,206 sqft
RM71 PSF
RM85,000
1,195 sqft
RM71 PSF
RM85,000
1,238 sqft
RM69 PSF
RM85,000
1,195 sqft
RM71 PSF
RM75,000
1,195 sqft
RM63 PSF
RM150,000
1,399 sqft
RM107 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Molek? Homes here sold for a median of RM85,000.

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

List your property free

Posts about Taman Molek

What’s happening in Taman Molek?

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

Market Snapshot

Residential

RM85,000

RM71 psf

Median transaction price

Average

Know your return before you buy

See the gross rental yield for TAMAN MOLEK and compare before you put down a deposit.

Get Plus

RM59 a month, cancel any time

Taman Molek
© OpenStreetMap · CARTO

Gemas, 73400 Gemas, Negeri Sembilan, Malaysia

Maps

Taman Molek in Tampin, Negeri Sembilan recorded 7 subsale transactions between 2021 and 2026, with a median price of RM85K and a median price per square foot (PSF) of RM71.

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 low-cost house, though some variety exists in the market.

For price per square foot, the median is RM71, with most transactions between RM69 and RM73. The usual range is RM68.01 to RM73.01, showing that most units are priced quite close to each other. A typical spread (IQR) of RM5.00 and an average deviation (MAD) of RM2 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.