Emergency visits in CA counties

Let's assume that the underlying graph is the adjacency inter-county graph of the counties of CA.
Let the county label be +1 if its emergency visit rate is above the state average and -1 if otherwise.
Does this constitute an Ising model?
Approach: p-value driven

p-values, hypothesis testing and Ising model detection, Real world county datasets

A lot of researchers seem to be using Ising priors on the context they they help achieve better error rates and hence must be informative.
Can the p-value approach be better? Yes: But requires partition function calculation or atleast tight upper bounds. TRBP looks like it will get the job done. Well, at least in most cases.

Here is a compilation of all county-datasets in US.

p-value comparison for the lung cancer dataset

The title says it all ..