Rumah Rakyat Senaling Ii
10A, N24, Senaling, 72000 Kuala Pilah, Negeri Sembilan, Malaysia
10A, N24, Senaling, 72000 Kuala Pilah, Negeri Sembilan, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Off Jaln Kp/Tampin
|
RM145,000
|
RM142
|
1,023 sqft
|
|
|
|
Off Pkn Senaling
|
RM110,000
|
RM108
|
1,023 sqft
|
|
|
|
Off Pekan Senaling
|
RM80,000
|
RM78
|
1,023 sqft
|
|
|
|
Off Pekan Senaling
|
RM120,000
|
RM117
|
1,023 sqft
|
|
Selling in Rumah Rakyat Senaling Ii? Homes here sold for a median of RM115,000.
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Nearby areas in Pilah
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Taman Bahagia Delima
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Rumah Rakyat Senaling Ii
Taman Tebat Kering
Taman Cemerlang
Taman Pendita
Taman Azam Setia
Taman Angkasa Jaya
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Pilah
10A, N24, Senaling, 72000 Kuala Pilah, Negeri Sembilan, Malaysia
MapsRumah Rakyat Senaling Ii in Kuala Pilah, Negeri Sembilan recorded 4 subsale transactions between 2021 and 2026, with a median price of RM115K and a median price per square foot (PSF) of RM117.
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 RM115K, with most transactions falling within a stable range of RM98K to RM133K, and a typical market range of RM103K to RM127K.
Most transactions involved low-cost house, with minimal variety in property types.
The median PSF stands at RM117, with core pricing between RM100 and RM134. Market pricing typically extends from RM105.98 to RM128.73, reflecting moderate variation in unit pricing. With an IQR of RM22.75 and MAD of RM17, the PSF demonstrates reasonable consistency across the market.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.