| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Pbr 38
|
RM1,380,000
|
RM144
|
9,612 sqft
|
|
Selling in Perindustrian Bkt Rambai? Homes here sold for a median of RM1,380,000.
Free to list, about two minutes, and the buyers reading this page will see it.
Posts about Perindustrian Bkt Rambai
No posts about Perindustrian Bkt Rambai yet. Be the first to share what’s happening here.
Nearby areas in Tg Minyak
Taman Desa Bertam
Taman Tg Minyak Perdana
Taman Desa Tanjung Minyak (Seri Bertam)
Taman Bertam Heights
Taman Bertam Impian
Taman Bertam Setia
Taman Rambai Utama
Taman Tg Minyak Utama
Taman Tg Minyak Jaya
Taman Tg Minyak (Tg Minyak)
Taman Bukit Rambai Putra
Taman Bertam Putra
Perindustrian Bkt Rambai
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Tg Minyak
Market Snapshot
CommercialRM1,380,000
RM144 psfMedian transaction price
Kawasan Perindustrian Bukit Rambai, Malacca, Malaysia
MapsPerindustrian Bkt Rambai in Melaka Tengah, Melaka recorded 1 subsale transactions between 2021 and 2026, sized between 9,575 and 9,624 sqft, with a median price of RM1.38 million and a median price per square foot (PSF) of RM144.
Price remained flat, and PSF growth was PSF remained flat.
Most transactions involved detached factory/warehouse, with minimal variety in property types.
For price per square foot, the median is RM144, with most transactions between RM144 and RM144. The usual range is RM128.82 to RM158.32, showing that most units are priced quite close to each other. A typical spread (IQR) of RM29.50 and an average deviation (MAD) of RM0 indicate a highly stable PSF trend across properties.
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.