Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Sentosa
|
RM295,000
|
RM188
|
1,572 sqft
|
|
Selling in Kampung Dato Onn? Homes here sold for a median of RM295,000.
Free to list, about two minutes, and the buyers reading this page will see it.
Posts about Kampung Dato Onn
No posts about Kampung Dato Onn yet. Be the first to share what’s happening here.
Nearby areas in Bandar Johor Bahru
Country Garden Danga Bay
R&F Princess Cove
Bandar Baru Uda
Setia Sky 88
Taman Century
Larkin Perdana
Sks Pavilion Residence
Bukit Saujana Apartment
Taman Melodies
Twin Galaxy
Suriamas Apartment
The Seasons Apartment @ Amara Larkin
Kampung Dato Onn
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Bandar Johor Bahru
Market Snapshot
ResidentialRM400,000
RM71 psfMedian transaction price
Kampung Dato Sulaiman Menteri, 81100 Johor Bahru, Johor, Malaysia
MapsKampung Dato Onn in Johor Bahru, Johor recorded 1 subsale transactions between 2021 and 2026, with a median price of RM295K and a median price per square foot (PSF) of RM188.
This area contains both residential and commercial properties. View 7 residential properties or 1 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat.
Most transactions involved detached, though some variety exists in the market.
For price per square foot, the median is RM188, with most transactions between RM188 and RM188. The usual range is RM171.00 to RM205.00, showing that most units are priced quite close to each other. A typical spread (IQR) of RM34.00 and an average deviation (MAD) of RM0 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.