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The divorce rate in Wyoming correlates with...
| Variable | Correlation | Years | Has img? |
| Popularity of the first name Jillian | r=0.98 | 23yrs | No |
| Milk consumption | r=0.97 | 23yrs | No |
| Popularity of the first name David | r=0.96 | 23yrs | No |
| Popularity of the first name Anna | r=0.95 | 23yrs | No |
| Popularity of the first name Katia | r=0.93 | 23yrs | No |
| Popularity of the 'harambe' meme | r=0.93 | 6yrs | No |
| Pirate attacks globally | r=0.93 | 13yrs | No |
| Popularity of the first name Jesus | r=0.91 | 23yrs | No |
| Kerosene used in South Korea | r=0.88 | 23yrs | No |
| Popularity of the first name Nicolas | r=0.87 | 23yrs | No |
| Arson in Wyoming | r=0.81 | 23yrs | No |
The divorce rate in Wyoming also correlates with...
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You caught me! While it would be intuitive to sort only by "correlation," I have a big, weird database. If I sort only by correlation, often all the top results are from some one or two very large datasets (like the weather or labor statistics), and it overwhelms the page.
I can't show you *all* the correlations, because my database would get too large and this page would take a very long time to load. Instead I opt to show you a subset, and I sort them by a magic system score. It starts with the correlation, but penalizes variables that repeat from the same dataset. (It also gives a bonus to variables I happen to find interesting.)