However if you only plan on owning it for 2 years it would be better not to buy any real estate because statistically speaking with the costs for taxes, expenses, mortgage interest, realtors commission, and other things that come up you won’t make any money anyway.

Are there common resources out there that would have foundation statistics about different neighborhoods?

Most of the software I use for deals for myself and my clients use an algorithm that will use statistical amounts for replacement based on current costs.

Add statistics graphs so I can see the growth potential including population, employment, etc.

I have a method that I'm formulating, but it is very data intensive (requiring web-scraping and statistical models), but a "good enough" solution could save me a lot of time.

I have no statistical data for this but I do have real world experience.

To give as an edge we look at a specific matrix Like U-Haul moving statistics, state record (1000 people a day move to Texas) and what has already approved to be built (Toll roads, Grocery stores, housing tracks, and roads) We have several Ag properties, HWY commercials and access to a plethora of off market potential purchases (pocket listings).

Check Airdna statistics they are usually a good guide and the benchmark that most STR lenders use to determine DSCR!

Buying property w/o title insurance can be very risky and while the statistical risk of having a title claim is relatively low its higher for tax deed property. 

Statistically, individuals who invest more upfront in their property are less likely to default.