Riveria Bay Resort Condominium

10km, Jalan Tanjung Kling, 76400 Melaka, Malaysia

Property Transactions

6 subsales grouped by size

Median
RM 106,500
PSF
RM 119
Price Size
Period
transactions middle 50% (P25–P75)
650 sqft
Condo
RM 80,000
Level 11
639 sqft · RM 125 PSF
RM 75,000
Level 12
639 sqft · RM 117 PSF
750 sqft
Condo
RM 88,000
Level 10
729 sqft · RM 121 PSF
1,250 sqft
Condo
RM 125,000
Level 5
1,272 sqft · RM 98 PSF
RM 160,000
Level 6
1,272 sqft · RM 126 PSF
2,050 sqft
Condo
RM 210,000
Level 2
2,052 sqft · RM 102 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 106,500

RM 119 psf

Median transaction price

Riveira Bay Resort Kondominium
© OpenStreetMap · CARTO

Riveria Bay Resort Condominium, 10km, Jalan Tanjung Kling, 76400 Melaka, Malaysia

Maps

Riveria Bay Resort Condominium in Melaka Tengah, Melaka recorded 6 subsale transactions in 2024, with a median price of RM 107K and a median price per square foot (PSF) of RM 119.

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 107K, with most transactions falling within a stable range of RM 75K to RM 155K, and a typical market range of RM 84K to RM 129K.

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

For price per square foot, the median is RM 119, with most transactions between RM 108 and RM 130. The usual range is RM 107.04 to RM 131.04, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 24.00 and an average deviation (MAD) of RM 11 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.