| LIST.MY · Mukim Labok | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Kampung Lalang Luas,Jalan Kampung Joh
|
RM295,000
|
RM49
|
5,996 sqft
|
|
Bungalow |
| 2023 | |||||
|
Jalan Kampung Joh
|
RM360,000
|
RM60
|
5,996 sqft
|
|
Bungalow |
Selling in Mukim Labok? Homes here sold for a median of RM327,500.
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Nearby areas in Labok
Mukim Labok
Kampung Lalang Luas
Taman Desa Arif
Kampung Joh
Taman Desa Bakti
Taman Alamanda Fasa 2
Taman Alamanda
Taman Ilmu
Kampung Kebun Rumput
Taman Labok Jaya
Kampung Banggol Judah
Kedai Labok
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 Labok
Market Snapshot
ResidentialRM327,500
RM55 psfMedian transaction price
Labok, Kelantan, Malaysia
MapsMukim Labok in Machang, Kelantan recorded 2 subsale transactions between 2021 and 2026, sized between 5,975 and 6,024 sqft, with a median price of RM328K and a median price per square foot (PSF) of RM55.
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 RM328K, with most transactions falling within a stable range of RM295K to RM360K, and a typical market range of RM295K to RM360K.
Most transactions involved detached, though some variety exists in the market.
For price per square foot, the median is RM55, with most transactions between RM49 and RM60. The usual range is RM47.75 to RM61.50, showing that most units are priced quite close to each other. A typical spread (IQR) of RM13.75 and an average deviation (MAD) of RM5 indicate a highly stable PSF trend across properties.
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.