Bali Residency Kota Syahbandar

Malacca, Malaysia

Property Transactions

14 subsales grouped by size

Median
RM 405,000
PSF
RM 543
Price Size
Period
transactions middle 50% (P25–P75)
450 sqft
Serviced Apt
RM 321,000
Level 26
474 sqft · RM 678 PSF
700 sqft
Serviced Apt
RM 369,000
Level 22
678 sqft · RM 544 PSF
RM 360,000
Level 9
678 sqft · RM 531 PSF
RM 400,000
Level 10
678 sqft · RM 590 PSF
RM 478,000
Level 35
678 sqft · RM 705 PSF
850 sqft
Serviced Apt
RM 400,000
Level 17
840 sqft · RM 476 PSF
RM 450,000
Level 13
840 sqft · RM 536 PSF
RM 400,000
Level 17
840 sqft · RM 476 PSF
RM 410,000
Level 27
840 sqft · RM 488 PSF
RM 455,000
Level 22
840 sqft · RM 542 PSF
RM 536,000
Level 29
840 sqft · RM 638 PSF
RM 459,000
Level 20
840 sqft · RM 547 PSF
RM 500,000
Level 33
840 sqft · RM 596 PSF
1,050 sqft
Serviced Apt
RM 360,000
Level 27
1,066 sqft · RM 338 PSF
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Bali Residency Kota Syahbandar in Melaka Tengah, Melaka recorded 14 subsale transactions between 2021 and 2026, with a median price of RM 405K and a median price per square foot (PSF) of RM 543.

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 RM 405K, with most transactions falling within a stable range of RM 347K to RM 463K, and a typical market range of RM 344K to RM 467K.

Most transactions involved serviced apartment, with minimal variety in property types.

The median PSF stands at RM 543, with core pricing between RM 454 and RM 633. Market pricing typically extends from RM 454.54 to RM 631.54, reflecting moderate variation in unit pricing. The spread of RM 177.00 (IQR) and deviation of RM 89 (MAD) suggest moderate price variations reflecting different property features.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.