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The marriage rate in Ohio correlates with...
| Variable | Correlation | Years | Has img? |
| Popularity of the first name Duncan | r=0.97 | 23yrs | No |
| Popularity of the first name Karl | r=0.97 | 23yrs | No |
| Popularity of the first name Chad | r=0.96 | 23yrs | No |
| Popularity of the first name Austin | r=0.96 | 23yrs | No |
| Per capita consumption of margarine | r=0.96 | 10yrs | No |
| Kerosene used in South Korea | r=0.95 | 23yrs | No |
| Popularity of the first name Adam | r=0.94 | 23yrs | No |
| Popularity of the first name Beth | r=0.91 | 23yrs | No |
| The number of dishwashers in Ohio | r=0.91 | 19yrs | No |
| Carjackings in the US | r=0.9 | 23yrs | No |
| US household spending on shoes | r=0.9 | 22yrs | No |
| Popularity of the first name Rhiannon | r=0.89 | 23yrs | No |
| Ticket sales for Cleveland Guardians games | r=0.86 | 21yrs | No |
| The number of movies Kate Hudson appeared in | r=0.45 | 23yrs | No |
The marriage rate in Ohio 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.)