| Road | Price | PSF | Size | Date | Type |
|---|
|
Off Jalan Seb Jerteh-Kuala Besut
|
RM 295,000
|
RM 122
|
2,411 sqft
|
|
|
Off Jalan Seb Jerteh-Kuala Besut
|
RM 330,000
|
RM 124
|
2,669 sqft
|
|
|
Off Jalan Seb Jerteh-Kuala Besut
|
RM 295,000
|
RM 108
|
2,734 sqft
|
|
|
Kampung Paya, Off Jalan Seb Jerteh-Kuala Besut
|
RM 200,000
|
RM 71
|
2,809 sqft
|
|
Bungalow |
|
Off Jalan Seb Jerteh-Kuala Besut
|
RM 320,000
|
RM 115
|
2,777 sqft
|
|
Semi-D |
|
Jalan Seberang Jerteh-Kampung Lampu
|
RM 450,000
|
RM 75
|
5,963 sqft
|
|
|
Jalan Seberang Jerteh-Kampung Lampu
|
RM 420,000
|
RM 62
|
6,760 sqft
|
|
|
Jalan Seberang Jerteh-Kampung Lampu
|
RM 500,000
|
RM 53
|
9,515 sqft
|
|
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Market Snapshot
ResidentialRM 325,000
RM 92 psfMedian transaction price
Kampung Pengkalan Nangka, Besut, Terengganu
Kampung Pengkalan Nangka in Besut, Terengganu recorded 8 subsale transactions between 2021 and 2026, with a median price of RM 325K and a median price per square foot (PSF) of RM 92.
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 RM 325K, with most transactions falling within a stable range of RM 233K to RM 417K, and a typical market range of RM 268K to RM 382K.
Most transactions involved detached, with moderate diversity in property types available.
Price per square foot shows a median of RM 92, though individual units vary from RM 65 to RM 119 in the core range. The broader market spans RM 63.31 to RM 120.06, indicating diverse property characteristics. A wider spread (IQR: RM 56.75) and deviation (MAD: RM 27) indicate significant PSF variations, likely due to diverse property types or conditions.
While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.