Taman Senimas

72000 Kuala Pilah, Negeri Sembilan, Malaysia

Property Transactions

7 subsales grouped by size

Median
RM 440,000
PSF
RM 112
Price Size
1,900 sqft
2-Sty Terrace
RM 390,000
Jalan Senimas 3
1,905 sqft · RM 205 PSF
4,000 sqft
Bungalow
RM 510,000
Jalan Senimas 9
4,004 sqft · RM 127 PSF
RM 440,000
Jalan Beting- Kuala Pilah
4,015 sqft · RM 110 PSF
RM 455,000
Jalan Senimas 9
4,004 sqft · RM 114 PSF
RM 385,000
Jalan Senimas 9
4,004 sqft · RM 96 PSF
RM 450,000
Off Km 2.4 Pelangai/Terentang
4,004 sqft · RM 112 PSF
RM 440,000
Jalan Senimas 17
4,004 sqft · RM 110 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 440,000

RM 112 psf

Median transaction price

Taman Senimas
© OpenStreetMap · CARTO

72000 Kuala Pilah, Negeri Sembilan, Malaysia

Maps

Taman Senimas in Kuala Pilah, Negeri Sembilan recorded 7 subsale transactions in 2022, with a median price of RM 440K and a median price per square foot (PSF) of RM 112.

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 440K, with most transactions falling within a stable range of RM 401K to RM 479K, and a typical market range of RM 385K to RM 510K.

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

Price per square foot shows a median of RM 112, though individual units vary from RM 79 to RM 146 in the core range. The broader market spans RM 101.01 to RM 123.76, indicating diverse property characteristics. A wider spread (IQR: RM 22.75) and deviation (MAD: RM 34) 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.