Rumah Pangsa Gentam

Taman Permai, 72000 Kuala Pilah, Negeri Sembilan, Malaysia

Property Transactions

10 subsales found

Median
RM66,500
PSF
RM98
Price Size
Period
transactions middle 50% (P25–P75)
RM90,000
Level 1
678 sqft RM133 PSF
RM90,000
Level G
678 sqft RM133 PSF
RM80,000
Level 2
678 sqft RM118 PSF
RM68,000
Level 2
678 sqft RM100 PSF
RM33,000
Level 5
678 sqft RM49 PSF
RM80,000
Level 1
678 sqft RM118 PSF
RM65,000
Level 1
678 sqft RM96 PSF
RM55,000
Level 5
678 sqft RM81 PSF
RM60,000
Level 5
678 sqft RM88 PSF
RM45,000
Level 1
678 sqft RM66 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM66,500

RM98 psf

Median transaction price

Rumah Pangsa Gentam
© OpenStreetMap · CARTO

Taman Permai, 72000 Kuala Pilah, Negeri Sembilan, Malaysia

Maps

Rumah Pangsa Gentam in Kuala Pilah, Negeri Sembilan recorded 10 subsale transactions between 2021 and 2026, sized between 675 and 724 sqft, with a median price of RM67K and a median price per square foot (PSF) of RM98.

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 RM67K, with most transactions falling within a stable range of RM49K to RM84K, and a typical market range of RM55K to RM78K.

Most transactions involved low-cost flat, with minimal variety in property types.

Price per square foot shows a median of RM98, though individual units vary from RM72 to RM125 in the core range. The broader market spans RM80.44 to RM115.69, indicating diverse property characteristics. A wider spread (IQR: RM35.25) and deviation (MAD: RM27) 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.