Taman Desa Salam (Mr 29-00)

Terengganu, Marang, Alur Limbat

Property Transactions

19 subsales grouped by road

Period
transactions middle 50% (P25–P75)
RM248,000
710 sqft
RM349 PSF
RM246,000
710 sqft
RM346 PSF
RM248,000
710 sqft
RM349 PSF
RM275,000
710 sqft
RM387 PSF
RM285,000
818 sqft
RM348 PSF
RM261,000
710 sqft
RM367 PSF
+3 more
RM75,000
732 sqft
RM102 PSF
RM75,000
732 sqft
RM102 PSF
RM75,000
732 sqft
RM102 PSF
RM77,000
732 sqft
RM105 PSF
RM49,000
732 sqft
RM67 PSF
RM49,000
732 sqft
RM67 PSF
RM67,000
1,948 sqft
RM34 PSF
RM55,000
732 sqft
RM75 PSF
RM43,000
732 sqft
RM59 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Desa Salam (Mr 29-00)? Homes here sold for a median of RM190,500.

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Market Snapshot

Residential

RM190,500

RM107 psf

Median transaction price

Taman Desa Salam (Mr 29-00) in Marang, Terengganu recorded 19 subsale transactions between 2021 and 2026, with a median price of RM191K and a median price per square foot (PSF) of RM184.

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 RM191K, with most transactions falling within a stable range of RM78K to RM304K, and a typical market range of RM89K to RM292K.

Most transactions involved 2 - 2 1/2 storey terraced, with moderate diversity in property types available.

Price per square foot shows a median of RM184, though individual units vary from RM140 to RM228 in the core range. The broader market spans RM129.88 to RM238.13, indicating diverse property characteristics. The spread of RM108.25 (IQR) and deviation of RM44 (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.