Taman Haji Ismail (Mr-384) Alor Limbat

Terengganu, Marang, Alur Limbat

Property Transactions

9 subsales grouped by size

Period
transactions middle 50% (P25–P75)
RM250,000
Off Jalan Bukit Payung - Rawai
1,302 sqft · RM192 PSF
RM180,000
Jalan Binjai Rendah - Kampung Rawai
1,302 sqft · RM138 PSF
RM165,000
Off Jalan Pekan Binjai Rendah
1,302 sqft · RM127 PSF
RM240,000
Off Jalan Bukit Payung - Rawai
1,302 sqft · RM184 PSF
RM158,000
Off Jalan Pekan Binjai Rendah
1,302 sqft · RM121 PSF
RM230,000
Off Jalan Bukit Payung - Rawai
1,302 sqft · RM177 PSF
RM230,000
Offjln Bukit Payung - Rawai
1,302 sqft · RM177 PSF
RM150,000
Jalan Binjai Rendah - Kampung Rawai
1,302 sqft · RM115 PSF
1,550 sqft
Terrace
RM260,000
Off Jalan Bukit Payung - Rawai
1,572 sqft · RM165 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM230,000

RM165 psf

Median transaction price

Taman Haji Ismail (Mr-384) Alor Limbat in Marang, Terengganu recorded 9 subsale transactions between 2021 and 2026, with a median price of RM230K and a median price per square foot (PSF) of RM165.

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 RM193K to RM260K.

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

The median PSF stands at RM165, with core pricing between RM138 and RM192. Market pricing typically extends from RM140.44 to RM190.44, reflecting moderate variation in unit pricing. The spread of RM50.00 (IQR) and deviation of RM27 (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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.