Taman Banggul Indah

Taman Banggol Indah, 24000 Kemaman, Terengganu, Malaysia

Property Transactions

5 subsales grouped by size

Median
RM 150,000
PSF
RM 115
Price Size
Period
transactions middle 50% (P25–P75)
1,300 sqft
LC House
RM 200,000
Jalan Mak Lagam-Chenih
1,302 sqft · RM 154 PSF
RM 140,000
Off Jalan Paya Berenjut
1,302 sqft · RM 107 PSF
RM 150,000
Off Jalan Paya Berenjut
1,302 sqft · RM 115 PSF
RM 150,000
Jalan Bi A/4
1,302 sqft · RM 115 PSF
2,700 sqft
LC House
RM 230,000
Off Jalan Paya Berenjut
2,713 sqft · RM 85 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 150,000

RM 115 psf

Median transaction price

Taman Banggul Indah
© OpenStreetMap · CARTO

Taman Banggol Indah, 24000 Kemaman, Terengganu, Malaysia

Maps

Taman Banggul Indah in Kemaman, Terengganu recorded 5 Low-Cost House properties subsale transactions between 2021 and 2026, with a median price of RM 150K and a median price per square foot (PSF) of RM 115.

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 150K, with most transactions falling within a stable range of RM 140K to RM 185K, and a typical market range of RM 140K to RM 228K.

Within the Low-Cost House category, 1 - 1 1/2 storey terraced dominated the market, with high diversity across multiple property types.

The median PSF stands at RM 115, with core pricing between RM 93 and RM 137. Market pricing typically extends from RM 98.42 to RM 131.92, reflecting moderate variation in unit pricing. The spread of RM 33.50 (IQR) and deviation of RM 22 (MAD) suggest moderate price variations reflecting different property features.

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.