Taman Cengal Utama

70400 Seremban, Negeri Sembilan, Malaysia

Property Transactions

2 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM350,000
Lorong Cengal Utama 1/1
2,906 sqft RM120 PSF
RM400,000
Lorong Cengal Utama 1/1
2,906 sqft RM138 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Cengal Utama? Homes here sold for a median of RM375,000.

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Auction Properties

1 auction properties in Taman Cengal Utama

NO. 2-16A, SECOND FLOOR, BLOCK A, TAMAN CENGAL UTAMA, 70400, SEREMBAN, Negeri Sembilan
Type Reserve Price Flat RM100,000
PSF Size Auction Date RM166.11 602 sqft 08 Sep 2026

Market Snapshot

Residential

RM250,000

RM195 psf

Median transaction price

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Taman Cengal Utama, 70400 Seremban, Negeri Sembilan, Malaysia

Maps

Taman Cengal Utama in Seremban, Negeri Sembilan recorded 2 subsale transactions between 2021 and 2026, sized between 2,875 and 2,924 sqft, with a median price of RM375K and a median price per square foot (PSF) of RM129.

This area contains both residential and commercial properties. View 36 residential properties or 2 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM375K, with most transactions falling within a stable range of RM350K to RM400K, and a typical market range of RM350K to RM400K.

Most transactions involved low-cost flat, with high diversity across multiple property types.

For price per square foot, the median is RM129, with most transactions between RM120 and RM138. The usual range is RM85.03 to RM173.03, showing that most units are priced quite close to each other. With an IQR of RM88.00 and MAD of RM9, the PSF demonstrates reasonable consistency across the market.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.