Kampung Sura

Sura, Dungun, Terengganu, Malaysia

Property Transactions

6 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
2,450 sqft
Semi-D
RM335,000
Lorong Pantai
2,454 sqft · RM137 PSF
2,750 sqft
Semi-D
RM340,000
Kampung Sura,Off Jalan Pantai Sura
2,766 sqft · RM123 PSF
2,900 sqft
Semi-D
RM380,000
Off Jalan Batu 7 (P/L:1588)
2,885 sqft · RM132 PSF
3,000 sqft
Semi-D
RM300,000
Off Jalan Pantai
2,992 sqft · RM100 PSF
3,200 sqft
Semi-D
RM300,000
Jalan Kenanga
3,175 sqft · RM94 PSF
3,650 sqft
Semi-D
RM385,000
Off Jalan Pantai
3,627 sqft · RM106 PSF
Legend Recent Highest Price Highest PSF

Selling in Kampung Sura? Homes here sold for a median of RM337,500.

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Market Snapshot

Residential

RM337,500

RM115 psf

Median transaction price

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KAMPUNG SURA, Sura, Dungun, Terengganu, Malaysia

Kampung Sura in Dungun, Terengganu recorded 6 Single Storey Semi-D properties subsale transactions between 2021 and 2026, with a median price of RM338K and a median price per square foot (PSF) of RM115.

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 RM338K, with most transactions falling within a stable range of RM304K to RM371K, and a typical market range of RM313K to RM363K.

Within the Single Storey Semi-D category, 1 - 1 1/2 storey semi-detached dominated the market, with moderate diversity in property types available.

The median PSF stands at RM115, with core pricing between RM99 and RM130. Market pricing typically extends from RM97.15 to RM131.89, reflecting moderate variation in unit pricing. With an IQR of RM34.75 and MAD of RM16, 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. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.