Rakr Kampung Buluh

Terengganu, Setiu, Guntung

Property Transactions

9 subsales grouped by size

Median
RM30,000
PSF
RM25
Period
transactions middle 50% (P25–P75)
1,200 sqft
LC House
RM180,000
Off Jalan Permaisuri - Jertih
1,216 sqft · RM148 PSF
RM30,000
Off Jalan Permaisuri - Jertih
1,216 sqft · RM25 PSF
RM30,000
Off Jalan Permaisuri - Jertih
1,216 sqft · RM25 PSF
RM30,000
Off Jalan Permaisuri - Jertih
1,216 sqft · RM25 PSF
RM30,000
Off Jalan Permaisuri - Jertih
1,216 sqft · RM25 PSF
1,250 sqft
LC House
RM150,000
Off Jalan Permaisuri - Jertih
1,227 sqft · RM122 PSF
RM30,000
Off Jalan Permaisuri - Jertih
1,227 sqft · RM24 PSF
RM30,000
Off Jalan Permaisuri - Jertih
1,227 sqft · RM24 PSF
RM30,000
Off Jalan Permaisuri - Jertih
1,238 sqft · RM24 PSF
Legend Recent Highest Price Highest PSF

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

Market Snapshot

Residential

RM30,000

RM25 psf

Median transaction price

Rakr Kampung Buluh in Setiu, Terengganu recorded 9 subsale transactions between 2021 and 2026, with a median price of RM30K and a median price per square foot (PSF) of RM25.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat.

Most transactions involved low-cost house, with minimal variety in property types.

For price per square foot, the median is RM25, with most transactions between RM24 and RM26. The usual range is RM24.16 to RM25.16, showing that most units are priced quite close to each other. A typical spread (IQR) of RM1.00 and an average deviation (MAD) of RM1 indicate a highly stable PSF trend across properties.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.