Bandar Putra

105, Jalan Putra A/4, 24000 Kemaman, Terengganu, Malaysia

Property Transactions

5 subsales grouped by size

Median
RM 420,000
PSF
RM 173
Price Size
1,600 sqft
Terrace
RM 280,000
Jalan Mak Lagam
1,615 sqft · RM 173 PSF
RM 295,000
Jalan Mak Lagam
1,615 sqft · RM 183 PSF
2,950 sqft
Semi-D
RM 535,000
Jalan Putra A/8
2,949 sqft · RM 181 PSF
RM 470,000
Jalan Mak Lagam - Chenih
2,949 sqft · RM 159 PSF
3,100 sqft
Semi-D
RM 420,000
Jalan Mak Lagam - Chenih
3,100 sqft · RM 135 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM 420,000

RM 173 psf

Median transaction price

RM 850,000

RM 527 psf

Median transaction price

Average

Rental Yield Data

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Bandar Putra
© OpenStreetMap · CARTO

105, Jalan Putra A/4, 24000 Kemaman, Terengganu, Malaysia

Maps

Bandar Putra in Kemaman, Terengganu recorded 5 subsale transactions in 2024, with a median price of RM 420K and a median price per square foot (PSF) of RM 173.

This area contains both residential and commercial properties. View 24 residential properties or 7 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 420K, with most transactions falling within a stable range of RM 321K to RM 519K, and a typical market range of RM 304K to RM 535K.

Most transactions involved 1 - 1 1/2 storey semi-detached, with high diversity across multiple property types.

The median PSF stands at RM 173, with core pricing between RM 156 and RM 191. Market pricing typically extends from RM 102.79 to RM 244.05, reflecting moderate variation in unit pricing. With an IQR of RM 141.25 and MAD of RM 18, the PSF demonstrates reasonable consistency across the market.

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.