I would suggest probates, liens, bankruptcies, and class B/C/D landlords with vacancies (see if you can find some migration data).

Florida: Pros: No state income tax, favorable eviction laws, and a strong rental market driven by tourism and population growth.

Oftentimes, the data is at least a couple years old. 

You're totally right about Denver's appreciation—it's been impressive, but it's also driven up property values, making it tough to find good rental yields, especially with a $600k budget.

Most AI data modelers mostly use cloud-based data centers like mentioned above.

You posted the raw data, just go one layer deeper to get to % returns to confirm your purchase price in relation to your expected return/profit/cashflow:$5,500 + $3,000 = $8,500/mo or $102k/yr GOI (gross annual rent collected)Knock off 25% for expenses and you are at $71k/yr or $5.9k/mo NOI on this $1.05M investment or holding this at a 6.8% cap rateWith your 7%, 75% LTV loan, you'd be paying $5k/mo for the loan, leaving you with $900/mo or $10.8k/yr in Cashflow.Now to determine your CoC return (Cash-on-Cash), take the $10.8k in CF and divide it by your equity-in, likely ~$300k, so 3.6% return on your cash/equity in this deal.

Buy data.

I pull a report of comparable rentals (usually off of Rentometer, sometimes using MLS data as well)2.

Any data, resources, or websites on market insights would be much appreciated, thank you!

It can sense a tiny strand of virus and it will test positive even though it is long dead and broken up.They data was changed later (over a year) but still, I thought it was simply to scare the public.