I'd say that statistically these two groups account for at least 50% of Americans out there.Let's not stop there -- there is plenty of evidence to indicate that sexism and racism are still rampant by employers: if you're a woman and/or a minority, statistically you will make less money than your white, male counterparts (and this has been proven just based on information provided in resumes without the potential worker ever being present for an interview or work).

Guess what statistically a half bath adds in value in that zip code?  

I know this is a bold statement but spending 20 years there owning and loaning to out of state investors many times on the same home 2 to to 3 times and one landlord fails and another picks it up and has to remodel yet again.

Can't think of anything at the moment   hope this helps Read my comments above in bold

Those who want to stay in their house may have a good chance.It will be easy to predict a foreclosure wave, because filed foreclosures are public record and these published statistics are readily available.

If implemented correctly, the benefit of machine learning, should not able to be realized by simple statistical analysis.   

Hi @Dan CrosbyPoint #4 - I suspected there was some sort of difference in ownership, but I didn't know that statistic.

Latest income statistics:  https://www150.statcan.gc.ca/n1/daily-quotidien/210323/dq210323a-eng.htmInterprovincial migration:  https://www150.statcan.gc.ca/n1/pub/91-209-x/2021001/article/00001-eng.htmDemand for rental properties can be found at CMHC: https://www.cmhc-schl.gc.ca/en...

There's risk to inaction.There a lot more people that have failed to take action, and lost out on great investments, than there are people that were too bold and took action when they shouldn't.

The Greater Cleveland area is the 28th largest metropolitan statistical area in the U.S. with a population of just over 2 million.