Havona Serviced Apartment

Jalan Mutiara Emas Utama, Taman Mount Austin, 81100 Johor Bahru, Johor Darul Ta'zim, Malaysia

Property Transactions

9 subsales grouped by size

Median
RM570,000
PSF
RM510
Price Size
Period
transactions middle 50% (P25–P75)
950 sqft
Serviced Apt
RM520,000
Level 15
953 sqft · RM546 PSF
RM460,000
Level 13
953 sqft · RM483 PSF
RM570,000
Level 32
953 sqft · RM598 PSF
RM530,000
Level 8
953 sqft · RM556 PSF
RM490,000
Level 12
953 sqft · RM514 PSF
1,250 sqft
Serviced Apt
RM635,000
Level 4
1,244 sqft · RM510 PSF
RM575,000
Level 12
1,244 sqft · RM462 PSF
RM588,000
Level 15
1,244 sqft · RM473 PSF
1,450 sqft
Serviced Apt
RM708,000
Level 32
1,443 sqft · RM491 PSF
Legend Recent Highest Price Highest PSF

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Havona Serviced Apartment
© OpenStreetMap · CARTO

Jalan Mutiara Emas Utama, Taman Mount Austin, 81100 Johor Bahru, Johor Darul Ta'zim, Malaysia

Maps

Havona Serviced Apartment in Johor Bahru, Johor recorded 9 subsale transactions in 2024, with a median price of RM570K and a median price per square foot (PSF) of RM510.

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 RM570K, with most transactions falling within a stable range of RM499K to RM641K, and a typical market range of RM530K to RM610K.

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

For price per square foot, the median is RM510, with most transactions between RM469 and RM552. The usual range is RM482.45 to RM538.45, showing that most units are priced quite close to each other. With an IQR of RM56.00 and MAD of RM42, the PSF demonstrates reasonable consistency across the market.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.