Generally larger commercial properties and shopping centers are easier to classify with hard and fast rules, but to the points above the residential areas really move very quickly and have way more nuance than most people care to admit.zip codes are generally way too large for my liking at least in my market to provide any kind of insights other than macro level economics but even then highways or rivers that cut through a zip code can end up with totally different trade areas.we can get pretty granular with cellphone data and with grocery center data to understand the trade areas and their true boundaries, but that kind of data pull is generally only cost effective for investors doing larger scale projects or developments, and honestly we still just end up getting on the ground and feeling it out, so I generally tell people that the money is better spent on a plane ticket and weekend trip in the area you are looking rather than any kind of "trade area" level data studies.and generally B class in 1 area means something different than another. 

I met a contractor through the project that's become a solid 1st call for my next flip and a good friend in the process.

At the moment, our data is only available for Philadelphia.

Keep it concise and data-driven.

I used CSV's to import data that I needed into RM.  

It offers high accuracy with 80-90%+ correct contact data, which is crucial for reaching homeowners.

Texas added more new residents than any other state over the past year and now has a population of over 31 million people.
According to estimates released Dec. 19 by the U.S. Census Bureau, Texas added just under 563...

The data @Devin Conley posted is pretty solid from my experience (I do not know Devin nor how he sourced the data, just going by my own investing experience).  

Quote from @Avani Patel: Hello, it is really time consuming for me to analyze each property by manually entering its data to calculate the return. 

All pricing of rental prices is done with data.