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Popularity of the first name Philip correlates with...
| Variable | Correlation | Years | Has img? |
| The marriage rate in Tennessee | r=0.98 | 23yrs | No |
| The number of sewing machine operators in Kentucky | r=0.97 | 20yrs | No |
| Robberies in Oregon | r=0.97 | 38yrs | No |
| Burglaries in New York | r=0.97 | 38yrs | No |
| Arson in New York | r=0.97 | 38yrs | No |
| Kerosene used in Venezuela | r=0.97 | 42yrs | No |
| Carjackings in the US | r=0.96 | 27yrs | No |
| Gasoline pumped in Bulgaria | r=0.96 | 42yrs | No |
| Physical album shipment volume in the United States | r=0.96 | 24yrs | No |
| The marriage rate in South Carolina | r=0.96 | 23yrs | No |
| The number of file clerks in Georgia | r=0.95 | 20yrs | No |
| Burglaries in Connecticut | r=0.95 | 38yrs | No |
| The distance between Neptune and Earth | r=0.93 | 48yrs | No |
| Remaining Forest Cover in the Brazilian Amazon | r=0.93 | 36yrs | No |
| The number of university economics teachers in Maryland | r=0.85 | 20yrs | No |
| Milk consumption | r=0.83 | 32yrs | No |
| xkcd comics published about programming | r=0.76 | 16yrs | No |
Popularity of the first name Philip 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.)