Rakr Bukit Payung (Mr 44-02)

Terengganu, Marang, Bukit Payung

Property Transactions

8 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,200 sqft
LC House
RM165,000
Off Jalan Bkt Payung
1,195 sqft · RM138 PSF
RM200,000
Rakr Bukit Payung (Mr-44-02)
1,195 sqft · RM167 PSF
RM150,000
Off Jalan K Berang-K Trg
1,195 sqft · RM126 PSF
RM145,000
Rakr Bkt Payong
1,195 sqft · RM121 PSF
RM180,000
Rakr Bukit Payung (Mr-44-02)
1,195 sqft · RM151 PSF
RM118,000
Rakr Batu Payong
1,195 sqft · RM99 PSF
RM165,000
Off Jalan K Berang-K Trg
1,184 sqft · RM139 PSF
2,150 sqft
LC House
RM25,000
Rakr Bkt Payong
2,142 sqft · RM12 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM157,500

RM132 psf

Median transaction price

Rakr Bukit Payung (Mr 44-02) in Marang, Terengganu recorded 8 Low-Cost House properties subsale transactions between 2021 and 2026, with a median price of RM158K and a median price per square foot (PSF) of RM132.

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 RM158K, with most transactions falling within a stable range of RM107K to RM200K, and a typical market range of RM140K to RM175K.

Within the Low-Cost House category, low-cost house dominated the market, though some variety exists in the market.

Price per square foot shows a median of RM132, though individual units vary from RM87 to RM177 in the core range. The broader market spans RM116.82 to RM146.82, indicating diverse property characteristics. A wider spread (IQR: RM30.00) and deviation (MAD: RM45) 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.