\(\sum_{i=1}^{10}P_{s>5,i}\)\(\sum_{i=1}^{10}P_{si}\) = 3,239/20,951 = 0.15 = 15%,
\(\sum_{i=1}^{10}S_{s\left|p>5,i\right|}/\sum_{i=1}^{10}S_i\) = 24319/94333 = 0.257799 =~ 25% 
Of those locations,  \(P_{s>5,i}\) I also  found that there are 1,273 (39%)  locations that are common across i, the entire time period studied.  I designate those locations as Pc | s > 5.
The geospatial histogram of the same high needs locations, Pc | s > 5,   demonstrates that they are distributed like this, below: