Taman Sri Nova Utama (Phase 1)

Malaysia, Negeri Sembilan, Tampin, Kampung Chenaga, Taman Sri Nova Utama, 73000

Property Transactions

6 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM398,000
Km 52, Jalan Seremban-Tampin-Gemas
3,200 sqft RM124 PSF
RM398,000
Jalan Tsn
3,200 sqft RM124 PSF
RM398,000
Jalan Tsn
3,200 sqft RM124 PSF
RM378,000
Km 52, Jalan Seremban-Tampin-Gemas
3,200 sqft RM118 PSF
RM389,000
Km 52, Jalan Seremban-Tampin-Gemas
3,200 sqft RM122 PSF
RM378,000
Km 52, Jalan Seremban-Tampin-Gemas
3,200 sqft RM118 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM393,500

RM123 psf

Median transaction price

Taman Sri Nova Utama (Phase 1)
© OpenStreetMap · CARTO

Malaysia, Negeri Sembilan, Tampin, Kampung Chenaga, Taman Sri Nova Utama, 73000

Maps

Taman Sri Nova Utama (Phase 1) in Tampin, Negeri Sembilan recorded 6 subsale transactions between 2021 and 2026, sized between 3,175 and 3,224 sqft, with a median price of RM394K and a median price per square foot (PSF) of RM123.

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 RM394K, with most transactions falling within a stable range of RM385K to RM398K, and a typical market range of RM378K to RM398K.

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

For price per square foot, the median is RM123, with most transactions between RM120 and RM126. The usual range is RM115.47 to RM130.47, showing that most units are priced quite close to each other. A typical spread (IQR) of RM15.00 and an average deviation (MAD) of RM3 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.