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US ATM Network Analytics; Rising Fees and Growing Need for a More Optimized Network

The LTP Data Analytics team sat down again to analyze the footprint of ATMs in the U.S. against several relevant parameters. ATM networks in the U.S. (for all banks across the nation) were studied against two major factors, viz. population and GDP, to understand their correlation. The idea was simple - we wanted to know how well the network is laid out relative to where people need them.

LTP is thankful to Factual, a location data company, for providing us bank branch data from their Global Places database in order to complete this analysis. Although Factual data is typically available for commercial consideration, they graciously shared it with us (under NDA) for performing this analysis.

This analysis was performed from two different perspectives: first, at an overall state level (using GDP and population data from the US Census), and second, at a zip code level (using Income Level data from http://factfinder.census.gov). What was most interesting was that we observed a major change in the pattern between the state level correlation graphs and the zip code level ones. The following charts reveal the insights that we unearthed:

Let's start with the simpler observations. Those who are not familiar with the ATM network ...

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