What method for this problem? [Correlation / Correspondence]


I have a data set like the following with some categorical/nominal values (like Gender and Age Group) and a ratio scaled value (DropOut, which is the week after registration in which a person dropped out of a program [so it's never zero or less, and it's not the calender week]):

I want to analyze which Age Groups and which Gender (and potentially more categorical values like Country) are most likely to drop out early.

At the moment I don't have any approach, so how can I solve this problem?

Thank you in advance.