Taman Sri Kasih

Jalan Berlian, Taman Senawang Jaya, 70450 Seremban, Negeri Sembilan, Malaysia

Property Transactions

12 subsales grouped by road

Period
transactions middle 50% (P25–P75)
RM500,000
5,640 sqft
RM89 PSF · Bungalow
RM650,000
4,359 sqft
RM149 PSF · 3-Sty Shop
RM320,000
3,649 sqft
RM88 PSF
RM230,000
1,399 sqft
RM164 PSF
RM200,000
1,076 sqft
RM186 PSF
RM160,000
1,076 sqft
RM149 PSF
RM250,000
1,399 sqft
RM179 PSF
RM180,000
1,399 sqft
RM129 PSF
RM230,000
1,399 sqft
RM164 PSF
RM200,000
1,399 sqft
RM143 PSF
RM250,000
1,399 sqft
RM179 PSF
RM230,000
1,399 sqft
RM164 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM230,000

RM164 psf

Median transaction price

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Jalan Berlian, Taman Senawang Jaya, 70450 Seremban, Negeri Sembilan, Malaysia

Maps

Taman Sri Kasih in Seremban, Negeri Sembilan recorded 12 subsale transactions between 2021 and 2026, with a median price of RM230K and a median price per square foot (PSF) of RM164.

This area contains both residential and commercial properties. View 11 residential properties or 1 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM230K, with most transactions falling within a stable range of RM200K to RM260K, and a typical market range of RM196K to RM264K.

Most transactions involved 1 - 1 1/2 storey terraced, with moderate diversity in property types available.

The median PSF stands at RM164, with core pricing between RM146 and RM182. Market pricing typically extends from RM144.62 to RM184.12, reflecting moderate variation in unit pricing. With an IQR of RM39.50 and MAD of RM18, 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.