Country Garden Danga Bay

Kampung Ah Siang, 80300 Johor Bahru, Johor, Malaysia

Property Transactions

8 subsales grouped by size

Median
RM647,500
PSF
RM636
Price Size
Period
transactions middle 50% (P25–P75)
650 sqft
Serviced Apt
RM470,000
Level 13
667 sqft · RM704 PSF
RM530,000
Level 18
667 sqft · RM794 PSF
800 sqft
Serviced Apt
RM530,000
Level 33
786 sqft · RM674 PSF
1,150 sqft
Serviced Apt
RM605,000
Level 38
1,173 sqft · RM516 PSF
RM700,000
Level 32
1,173 sqft · RM597 PSF
1,200 sqft
Serviced Apt
RM690,000
Level 53
1,195 sqft · RM578 PSF
1,250 sqft
Serviced Apt
RM740,000
Level 10
1,249 sqft · RM593 PSF
1,450 sqft
Serviced Apt
RM1,245,000
Level 37
1,453 sqft · RM857 PSF
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Country Garden Danga Bay
© OpenStreetMap · CARTO

Kampung Ah Siang, 80300 Johor Bahru, Johor, Malaysia

Maps

Country Garden Danga Bay in Johor Bahru, Johor recorded 8 subsale transactions in 2026, with a median price of RM648K and a median price per square foot (PSF) of RM636.

This area contains both residential and commercial properties. View 1,629 residential properties or 1 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM648K, with most transactions falling within a stable range of RM470K to RM876K, and a typical market range of RM533K to RM762K.

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

The median PSF stands at RM636, with core pricing between RM527 and RM744. Market pricing typically extends from RM555.50 to RM715.50, reflecting moderate variation in unit pricing. The spread of RM160.00 (IQR) and deviation of RM109 (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.