Taman Bukit Labu

70200 Seremban, Negeri Sembilan, Malaysia

Property Transactions

7 subsales grouped by road

Median
RM240,000
PSF
RM153
Period
transactions middle 50% (P25–P75)
RM270,000
1,647 sqft
RM164 PSF
RM235,000
1,539 sqft
RM153 PSF
RM298,000
1,539 sqft
RM194 PSF
RM225,000
1,647 sqft
RM137 PSF
RM240,000
1,647 sqft
RM146 PSF
RM200,000
1,539 sqft
RM130 PSF
RM240,000
1,539 sqft
RM156 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Bukit Labu? Homes here sold for a median of RM240,000.

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

List your property free

Posts about Taman Bukit Labu

What’s happening in Taman Bukit Labu?

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

Loading map...

Taman Bukit Labu, 70200 Seremban, Negeri Sembilan, Malaysia

Maps

Taman Bukit Labu in Seremban, Negeri Sembilan recorded 7 subsale transactions between 2021 and 2026, with a median price of RM240K and a median price per square foot (PSF) of RM153.

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 RM240K, with most transactions falling within a stable range of RM225K to RM255K, and a typical market range of RM228K to RM253K.

Most transactions involved 1 - 1 1/2 storey terraced, with minimal variety in property types.

For price per square foot, the median is RM153, with most transactions between RM142 and RM164. The usual range is RM143.42 to RM161.92, showing that most units are priced quite close to each other. A typical spread (IQR) of RM18.50 and an average deviation (MAD) of RM11 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.