Taman Shukur

Taman Shukor, 70400 Seremban, Negeri Sembilan, Malaysia

Property Transactions

10 subsales grouped by road

Period
transactions middle 50% (P25–P75)
RM865,000
3,767 sqft
RM230 PSF
RM930,000
4,015 sqft
RM232 PSF
RM930,000
4,015 sqft
RM232 PSF
RM895,000
4,155 sqft
RM215 PSF
RM930,000
4,026 sqft
RM231 PSF
RM930,000
4,036 sqft
RM230 PSF
RM930,000
4,036 sqft
RM230 PSF
RM930,000
4,047 sqft
RM230 PSF
RM1,350,000
5,888 sqft
RM229 PSF
RM1,185,000
6,771 sqft
RM175 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Shukur? Homes here sold for a median of RM930,000.

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

List your property free

Posts about Taman Shukur

What’s happening in Taman Shukur?

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

Market Snapshot

Residential

RM930,000

RM230 psf

Median transaction price

Loading map...

Taman Shukor, 70400 Seremban, Negeri Sembilan, Malaysia

Maps

Taman Shukur in Seremban, Negeri Sembilan recorded 10 subsale transactions between 2021 and 2026, with a median price of RM930K and a median price per square foot (PSF) of RM230.

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 2 - 2 1/2 storey semi-detached, though some variety exists in the market.

For price per square foot, the median is RM230, with most transactions between RM229 and RM231. The usual range is RM229.65 to RM231.15, showing that most units are priced quite close to each other. A typical spread (IQR) of RM1.50 and an average deviation (MAD) of RM1 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. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.