Rumah Awam Kos Rendah Bukit Kuang

Terengganu, Kemaman, Teluk Kalung

Property Transactions

5 subsales grouped by size

Property Type

Price Size
Period
transactions middle 50% (P25–P75)
4,800 sqft
Bungalow
RM150,000
Off Jalan Kemaman / Dungun
4,801 sqft · RM31 PSF
4,900 sqft
Bungalow
RM160,000
Tk 96
4,898 sqft · RM33 PSF
5,050 sqft
Bungalow
RM16,000
Off Jalan Bukit Kuang
5,038 sqft · RM3 PSF
5,250 sqft
Bungalow
RM150,000
Rakr Teluk Kalong
5,253 sqft · RM29 PSF
5,300 sqft
Bungalow
RM140,000
Off Jalan Pengkalan Cicar
5,317 sqft · RM26 PSF
Legend Recent Highest Price Highest PSF

Selling in Rumah Awam Kos Rendah Bukit Kuang? Homes here sold for a median of RM150,000.

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Market Snapshot

Residential

RM150,000

RM29 psf

Median transaction price

Rumah Awam Kos Rendah Bukit Kuang in Kemaman, Terengganu recorded 5 Bungalow properties subsale transactions between 2021 and 2026, with a median price of RM150K and a median price per square foot (PSF) of RM29.

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 RM150K, with most transactions falling within a stable range of RM96K to RM160K, and a typical market range of RM83K to RM160K.

Within the Bungalow category, detached dominated the market, though some variety exists in the market.

Price per square foot shows a median of RM29, though individual units vary from RM18 to RM39 in the core range. The broader market spans RM20.56 to RM36.56, indicating diverse property characteristics. A wider spread (IQR: RM16.00) and deviation (MAD: RM11) 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.