Veranda Residence

Jalan Puncak Saujana, Saujana, 80100 Johor Bahru, Johor Darul Ta'zim, Malaysia

Property Transactions

4 subsales grouped by size

Median
RM 622,500
PSF
RM 651
Price Size
Period
transactions middle 50% (P25–P75)
650 sqft
Serviced Apt
RM 412,000
Level 18
633 sqft · RM 651 PSF
850 sqft
Serviced Apt
RM 580,000
Level 23
850 sqft · RM 682 PSF
1,000 sqft
Serviced Apt
RM 665,000
Level 9
1,023 sqft · RM 650 PSF
RM 665,000
Level 24
1,023 sqft · RM 650 PSF
Legend Recent Highest Price Highest PSF

Posts about Veranda Residence

What’s happening in Veranda Residence?

No posts about Veranda Residence yet. Be the first to share what’s happening here.

Average

Rental Yield Data

Available with List.my Plus.

Unlock Access
Veranda Residence
© OpenStreetMap · CARTO

Jalan Puncak Saujana, Saujana, 80100 Johor Bahru, Johor Darul Ta'zim, Malaysia

Maps

Veranda Residence in Johor Bahru, Johor recorded 4 subsale transactions between 2021 and 2026, with a median price of RM 623K and a median price per square foot (PSF) of RM 651.

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 623K, with most transactions falling within a stable range of RM 519K to RM 665K, and a typical market range of RM 559K to RM 665K.

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

For price per square foot, the median is RM 651, with most transactions between RM 637 and RM 664. The usual range is RM 646.16 to RM 654.91, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 8.75 and an average deviation (MAD) of RM 14 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.