Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Pm 4
|
RM650,000
|
RM158
|
4,101 sqft
|
|
|
|
Jalan Pm 5
|
RM700,000
|
RM171
|
4,101 sqft
|
|
|
Jalan Pm3
|
RM800,000
|
RM188
|
4,252 sqft
|
|
|
|
Jalan Pm2
|
RM1,250,000
|
RM294
|
4,252 sqft
|
|
|
|
Jalan Pm 3
|
RM860,000
|
RM202
|
4,252 sqft
|
|
|
Jalan Pm 3
|
RM2,340,000
|
RM484
|
4,833 sqft
|
|
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Plaza Mahkota
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 Bdr Melaka
Market Snapshot
CommercialRM830,000
RM195 psfMedian transaction price
Plaza Mahkota, 75000 Melaka, Malaysia
MapsPlaza Mahkota in Melaka Tengah, Melaka recorded 6 4-Storey Shop properties subsale transactions between 2021 and 2026, with a median price of RM830K and a median price per square foot (PSF) of RM195.
This area contains both residential and commercial properties. View 1 residential properties or 15 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM830K, with most transactions falling within a stable range of RM650K to RM1.42 million, and a typical market range of RM650K to RM1.11 million.
Within the 4-Storey Shop category, office lot dominated the market, with high diversity across multiple property types.
Price per square foot shows a median of RM195, though individual units vary from RM82 to RM309 in the core range. The broader market spans RM0.00 to RM442.09, indicating diverse property characteristics. A wider spread (IQR: RM493.75) and deviation (MAD: RM114) indicate significant PSF variations, likely due to diverse property types or conditions.
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.