| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong Kempadang Utama 10
|
RM166,000
|
RM166
|
1,001 sqft
|
|
|
|
Lorong Kempadang Utama 4
|
RM165,000
|
RM165
|
1,001 sqft
|
|
|
|
Lorong Kempadang Utama 3
|
RM185,000
|
RM185
|
1,001 sqft
|
|
|
|
Lorong Kempadang Utama 4
|
RM160,000
|
RM160
|
1,001 sqft
|
|
|
|
Lorong Kempadang Utama 10
|
RM170,000
|
RM170
|
1,001 sqft
|
|
|
|
Lorong Kempadang Utama 3
|
RM120,000
|
RM120
|
1,001 sqft
|
|
|
Lorong Kempadang Utama 10
|
RM187,000
|
RM106
|
1,765 sqft
|
|
|
Lorong Kempadang Utama 4
|
RM180,000
|
RM91
|
1,970 sqft
|
|
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Astaka Village
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 Kuala Kuantan
Market Snapshot
ResidentialRM168,000
RM162 psfMedian transaction price
Astaka Village in Kuantan, Pahang recorded 8 Low-Cost House properties subsale transactions between 2021 and 2026, with a median price of RM168K and a median price per square foot (PSF) of RM162.
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 RM168K, with most transactions falling within a stable range of RM148K to RM187K, and a typical market range of RM149K to RM187K.
Within the Low-Cost House category, low-cost house dominated the market, though some variety exists in the market.
The median PSF stands at RM162, with core pricing between RM130 and RM195. Market pricing typically extends from RM154.08 to RM170.58, reflecting moderate variation in unit pricing. The spread of RM16.50 (IQR) and deviation of RM32 (MAD) suggest moderate price variations reflecting different property features.
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.