Sedc Kertih

Kerteh, Terengganu, Malaysia

Property Transactions

10 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM155,000
Off Jalan Cukai-Dungun
1,399 sqft RM111 PSF
RM230,000
Sedc Kertih
1,399 sqft RM164 PSF
RM260,000
Perumahan Panalex
1,399 sqft RM186 PSF
RM230,000
Off Jalan Kemaman / Dungun
1,399 sqft RM164 PSF
RM215,000
Off Jalan Chukai - Dungun
1,399 sqft RM154 PSF
RM245,000
Off Jalan Cukai-Dungun
1,399 sqft RM175 PSF
RM260,000
Off Jalan Kampung Chabang
1,421 sqft RM183 PSF
RM200,000
Off Jalan Kemaman / Kuala Teren
1,410 sqft RM142 PSF
RM230,000
Perumahan Panalex
1,399 sqft RM164 PSF
RM200,000
Perumahan Panalex,Tk 89
1,399 sqft RM143 PSF
Legend Recent Highest Price Highest PSF

Selling in Sedc Kertih? Homes here sold for a median of RM230,000.

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Market Snapshot

Residential

RM230,000

RM164 psf

Median transaction price

Sedc Kertih in Kemaman, Terengganu recorded 10 subsale transactions between 2021 and 2026, sized between 1,375 and 1,424 sqft, with a median price of RM230K and a median price per square foot (PSF) of RM164.

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 RM230K, with most transactions falling within a stable range of RM200K to RM260K, and a typical market range of RM206K to RM254K.

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

The median PSF stands at RM164, with core pricing between RM143 and RM186. Market pricing typically extends from RM133.25 to RM195.50, reflecting moderate variation in unit pricing. With an IQR of RM62.25 and MAD of RM21, 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.