The codes can definitely be a bit confusing. 1st and foremost it's important to ensure you are using the correct code!

Look for for rent ads in your zip code.

Might be a good idea to check the building codes in your area and see if this is an item that has been set down in law.

These are professionals with additional training and a stricter code of ethics.

It is a little more complicated than recommending zip codes to invest in since Detroit is a very block by block marketplace.

Area like Cupertino,Los Gatos to Stanford is just a shadow of the American economy where tech titans is just moving from one zip code to another zip code in one geographical area (like apple in cupertino to nvidia in santa clara), these companies make real estate skyrockets although, in term of statistic, the population is decreasing by a lot.  

Again, you do not have to know every line of the tax code, but have a good understanding of what happens when you do something.

Hello Everyone,I currently own a property in the 38141 zip code and am considering purchasing another one.

I googled Texas LLC code and I think this is applicable for you. 

There's a variety of ways to get a deal in front of you (I'm mostly a flipper), but basically if it looks promising, I run custom comps queries and check the current & past $/sf of renovated/distressed product in that city or zipcode.Here's a chart on 90066 I generated from my tool under Market Stats > Sales Data > Specific Zip Code:- My above chart (more available) shows the Avg Renovated $/sf (High) over time in this Zip Code, something completely different than charts/providers based on Averages/Medians only, like every other platform (RedFin Below, https://www.redfin.com/news/data-center/):- Can't select smaller locations such as City or Zipcode for their $/sf data, so it's useless helping me underwrite/verify a deal.- Can set Zip Code for Median Sale Price data, but again it's the median/avg so it's useless helping me underwrite/verify a deal.Then if that looks decent, I'll run Sales Comps, and get a quick summary of some key metrics based on those comps.