Taman Lavender Heights

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

Property Transactions

4 subsales grouped by size

Median
RM 481,500
PSF
RM 144
Price Size
Period
transactions middle 50% (P25–P75)
2,800 sqft
Semi-D
RM 365,000
Jalan Lavender Heights 12/1
2,799 sqft · RM 130 PSF
RM 400,000
Jalan. Lavender 15
2,799 sqft · RM 143 PSF
3,850 sqft
Semi-D
RM 563,000
Jalan Lavender Heights 15/1
3,864 sqft · RM 146 PSF
4,450 sqft
Semi-D
RM 650,000
Jalan Lavender Heights 15
4,445 sqft · RM 146 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 481,500

RM 144 psf

Median transaction price

Taman Lavender Heights
© OpenStreetMap · CARTO

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

Maps

Taman Lavender Heights in Seremban, Negeri Sembilan recorded 4 Single Storey Semi-D properties subsale transactions between 2021 and 2026, with a median price of RM 482K and a median price per square foot (PSF) of RM 144.

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 RM 482K, with most transactions falling within a stable range of RM 365K to RM 598K, and a typical market range of RM 365K to RM 610K.

Within the Single Storey Semi-D category, 2 - 2 1/2 storey terraced dominated the market, with high diversity across multiple property types.

For price per square foot, the median is RM 144, with most transactions between RM 138 and RM 151. The usual range is RM 54.56 to RM 234.06, showing that most units are priced quite close to each other. With an IQR of RM 179.50 and MAD of RM 6, 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.