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US household spending on clothing correlates with...
| Variable | Correlation | Years | Has img? |
| The divorce rate in Oregon | r=0.97 | 22yrs | No |
| The marriage rate in Kentucky | r=0.96 | 22yrs | No |
| Remaining Forest Cover in the Brazilian Amazon | r=0.96 | 23yrs | No |
| Popularity of the first name Joseph | r=0.96 | 23yrs | No |
| Popularity of the first name Sidney | r=0.96 | 23yrs | No |
| Popularity of the first name Corey | r=0.96 | 23yrs | No |
| The marriage rate in Nevada | r=0.96 | 22yrs | No |
| Arson in Louisiana | r=0.96 | 23yrs | No |
| The number of librarians in Montana | r=0.96 | 16yrs | No |
| Popularity of the first name Bryon | r=0.96 | 23yrs | No |
| Arson in Delaware | r=0.95 | 23yrs | Yes! |
| Popularity of the first name Lisa | r=0.94 | 23yrs | No |
| Popularity of the first name Gillian | r=0.93 | 23yrs | No |
| The number of CEOs in Michigan | r=0.92 | 20yrs | No |
| Air pollution in Atlanta | r=0.91 | 23yrs | No |
| Kerosene used in South Korea | r=0.91 | 23yrs | No |
| Popularity of the first name Abby | r=0.89 | 23yrs | No |
| The average age of batters for the Baltimore Orioles | r=0.89 | 23yrs | No |
| The marriage rate in Florida | r=0.88 | 22yrs | No |
US household spending on clothing 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.)