Taman Jasmin (Senawang)

Taman Jasmin, 70450 Seremban, Negeri Sembilan, Malaysia

Property Transactions

4 subsales grouped by size

Median
RM 205,000
PSF
RM 240
Price Size
Period
transactions middle 50% (P25–P75)
750 sqft
Townhouse
RM 150,000
Level G
750 sqft · RM 200 PSF
RM 120,000
Level 1
750 sqft · RM 160 PSF
950 sqft
2-Sty Terrace
RM 260,000
Jalan Jasmin 24
926 sqft · RM 281 PSF
1,000 sqft
2-Sty Terrace
RM 380,000
Jalan Jasmin 18
1,023 sqft · RM 372 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 205,000

RM 240 psf

Median transaction price

Taman Jasmin (Senawang)
© OpenStreetMap · CARTO

Taman Jasmin, 70450 Seremban, Negeri Sembilan, Malaysia

Maps

Taman Jasmin (Senawang) in Seremban, Negeri Sembilan recorded 4 subsale transactions between 2021 and 2026, with a median price of RM 205K and a median price per square foot (PSF) of RM 240.

This area contains both residential and commercial properties. View 32 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 RM 205K, with most transactions falling within a stable range of RM 120K to RM 307K, and a typical market range of RM 135K to RM 275K.

Most transactions involved town house, with moderate diversity in property types available.

Price per square foot shows a median of RM 240, though individual units vary from RM 159 to RM 322 in the core range. The broader market spans RM 206.43 to RM 274.43, indicating diverse property characteristics. A wider spread (IQR: RM 68.00) and deviation (MAD: RM 81) indicate significant PSF variations, likely due to diverse property types or conditions.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.