\(\sum_{i=1}^{10}P_{s>5,i}\) / \(\sum_{i=1}^{10}P_{si}\) = 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: