Racism is morally wrong but not mathematically wrong. P(criminal|black) > P(criminal), but if you observe that someone has black skin and treat them poorly because of it, you've done a bad thing. It doesn't matter that you were just following Bayesian reasoning because you're still hurting someone on the basis of something they can't control.

Lady Justice doesn't wear a blindfold as a fashion accessory. Discarding information is a key factor in nearly every established system of justice / morality. Refusing to do so (i.e. "just" running a ML algorithm) places you directly at odds with society's hard-earned best practices.

> All I want to predict is time periods/locations which are vulnerable.

Ok, and to what end?

I assume someone else will be consuming these predictions, else you wouldn't bother at all.

What are your customers/users going to do with these predictions?

Or is that simply not your responsibility; someone else's problem?

Take a look at crimereports.com. You might get lucky and find a good source on a per city or county basis, it's too fragmented overall too try this. Different countries might have different documentation standards and publishing guidelines for this kinda of data, might be worth a shot to look.