Wadihana Kondominium

25, Jalan Mohd Taib, Wadi Hana, 80300 Johor Bahru, Johor Darul Ta'zim, Malaysia

Property Transactions

9 subsales grouped by size

Median
RM 697,000
PSF
RM 396
Price Size
Period
transactions middle 50% (P25–P75)
1,650 sqft
Condo
RM 700,000
Level 26
1,658 sqft · RM 422 PSF
RM 660,000
Level 13
1,658 sqft · RM 398 PSF
RM 680,000
Level 18
1,658 sqft · RM 410 PSF
RM 478,000
Level 17
1,668 sqft · RM 287 PSF
1,800 sqft
Condo
RM 720,000
Level 20
1,819 sqft · RM 396 PSF
RM 697,000
Level 24
1,819 sqft · RM 383 PSF
RM 700,000
Level 10
1,819 sqft · RM 385 PSF
1,850 sqft
Condo
RM 650,000
Level 2
1,841 sqft · RM 353 PSF
RM 738,000
Level 17
1,841 sqft · RM 401 PSF
Legend Recent Highest Price Highest PSF

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Wadihana Kondominium
© OpenStreetMap · CARTO

25, Jalan Mohd Taib, Wadi Hana, 80300 Johor Bahru, Johor Darul Ta'zim, Malaysia

Maps

Wadihana Kondominium in Johor Bahru, Johor recorded 9 subsale transactions in 2025, with a median price of RM 697K and a median price per square foot (PSF) of RM 396.

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 697K, with most transactions falling within a stable range of RM 625K to RM 738K, and a typical market range of RM 672K to RM 722K.

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

For price per square foot, the median is RM 396, with most transactions between RM 358 and RM 434. The usual range is RM 376.13 to RM 415.88, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 39.75 and an average deviation (MAD) of RM 38 indicate a highly stable PSF trend across properties.

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.