Cheneh

Bandi, Kemaman, Terengganu, Malaysia

Property Transactions

11 subsales grouped by road

Period
transactions middle 50% (P25–P75)
RM93,000
1,798 sqft
RM52 PSF · Terrace
RM111,000
3,520 sqft
RM32 PSF · Bungalow
RM91,000
1,636 sqft
RM56 PSF · Terrace
RM91,000
1,647 sqft
RM55 PSF · Terrace
RM91,000
1,679 sqft
RM54 PSF · Terrace
RM92,000
1,733 sqft
RM53 PSF · Terrace
RM107,000
2,917 sqft
RM37 PSF · Terrace
RM112,000
3,670 sqft
RM31 PSF · Terrace
RM100,000
5,371 sqft
RM19 PSF
RM91,000
1,636 sqft
RM56 PSF
RM101,000
1,496 sqft
RM68 PSF
Legend Recent Highest Price Highest PSF

Selling in Cheneh? Homes here sold for a median of RM93,000.

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Nearby areas in Bandi

Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Bandi

Market Snapshot

Residential

RM93,000

RM53 psf

Median transaction price

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CHENEH, Bandi, Kemaman, Terengganu, Malaysia

Cheneh in Kemaman, Terengganu recorded 11 subsale transactions between 2021 and 2026, with a median price of RM93K and a median price per square foot (PSF) of RM53.

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 RM93K, with most transactions falling within a stable range of RM91K to RM95K, and a typical market range of RM91K to RM100K.

Most transactions involved 1 - 1 1/2 storey terraced, though some variety exists in the market.

For price per square foot, the median is RM53, with most transactions between RM50 and RM56. The usual range is RM42.59 to RM63.59, showing that most units are priced quite close to each other. A typical spread (IQR) of RM21.00 and an average deviation (MAD) of RM3 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.