Perindustrian Bkt Rambai

Kawasan Perindustrian Bukit Rambai, Malacca, Malaysia

Property Transactions

19 subsales grouped by road

Median
RM3,300,000
PSF
RM67
Period
transactions middle 50% (P25–P75)
RM4,000,000
48,222 sqft
RM83 PSF
RM2,968,000
50,913 sqft
RM58 PSF
RM4,632,000
79,438 sqft
RM58 PSF
RM3,889,000
84,863 sqft
RM46 PSF
RM3,889,000
84,863 sqft
RM46 PSF
RM1,750,000
23,724 sqft
RM74 PSF
RM5,100,000
54,508 sqft
RM94 PSF
RM4,200,000
71,645 sqft
RM59 PSF
RM4,200,000
71,645 sqft
RM59 PSF
RM1,380,000
9,612 sqft
RM144 PSF
RM7,200,000
88,921 sqft
RM81 PSF
RM1,800,000
26,996 sqft
RM67 PSF
RM2,500,000
48,201 sqft
RM52 PSF
RM3,300,000
32,012 sqft
RM103 PSF
RM2,616,000
26,996 sqft
RM97 PSF
RM1,580,000
17,093 sqft
RM92 PSF
RM1,280,000
24,509 sqft
RM52 PSF
RM1,600,000
23,724 sqft
RM67 PSF
RM3,800,000
56,026 sqft
RM68 PSF
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Kawasan Perindustrian Bukit Rambai, Malacca, Malaysia

Maps

Perindustrian Bkt Rambai in Melaka Tengah, Melaka recorded 19 subsale transactions between 2021 and 2026, with a median price of RM3.30 million and a median price per square foot (PSF) of RM67.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM3.30 million, with most transactions falling within a stable range of RM2.40 million to RM4.20 million, and a typical market range of RM2.14 million to RM4.46 million.

Most transactions involved detached factory/warehouse, with minimal variety in property types.

Price per square foot shows a median of RM67, though individual units vary from RM52 to RM82 in the core range. The broader market spans RM52.69 to RM82.19, indicating diverse property characteristics. The spread of RM29.50 (IQR) and deviation of RM15 (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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.