| Price | PSF | Size | Date | Type |
|---|
|
RM390,000
|
RM132
|
2,960 sqft
|
|
|
|
RM370,000
|
RM125
|
2,960 sqft
|
|
|
RM345,000
|
RM117
|
2,960 sqft
|
|
|
|
RM350,000
|
RM118
|
2,960 sqft
|
|
|
RM340,000
|
RM115
|
2,949 sqft
|
|
|
RM520,000
|
RM208
|
2,497 sqft
|
|
Selling in Kubur Sharif Padang Nenas? Homes here sold for a median of RM365,000.
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Nearby areas in Batu Rakit
Batu Rakit
Wakaf Tengah
Gong Pak Jin/Pak Tuyu
Pagar Besi
Rakr Wakaf Tengah (Kt 378)
Rakr Gong Badak Iv (Kt 105-97)
Padang Nenas
Rakr Alor Jambu (Kt 67-99) Kubur Sharif
Mengabang Telipot
Rakr Mengabang Lekor (Kt-961)
Mengabang Telong
Kubur Sharif Padang Nenas
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 Batu Rakit
Market Snapshot
ResidentialRM440,000
RM132 psfMedian transaction price
Kubur Sharif Padang Nenas in Kuala Nerus, Terengganu recorded 10 subsale transactions between 2021 and 2026, with a median price of RM365K and a median price per square foot (PSF) of RM118.
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 RM365K, with most transactions falling within a stable range of RM348K to RM383K, and a typical market range of RM346K to RM384K.
Most transactions involved 1 - 1 1/2 storey semi-detached, though some variety exists in the market.
The median PSF stands at RM118, with core pricing between RM104 and RM132. Market pricing typically extends from RM104.99 to RM131.49, reflecting moderate variation in unit pricing. With an IQR of RM26.50 and MAD of RM14, 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.