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Data source: FBI Criminal Justice Information Services
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Burglaries in California correlates with...

Variable	Correlation	Years	Has img?
Popularity of the first name Aimee	r=0.99	38yrs	No
Popularity of the first name Derrick	r=0.99	38yrs	Yes!
Popularity of the first name Paul	r=0.98	38yrs	No
Popularity of the first name James	r=0.98	38yrs	No
Popularity of the first name Lloyd	r=0.98	38yrs	No
Popularity of the first name Brandi	r=0.98	38yrs	No
Associates degrees awarded in Business	r=0.97	11yrs	No
Popularity of the first name Alicia	r=0.97	38yrs	No
Associates degrees awarded in Criminal justice and corrections	r=0.97	11yrs	No
Popularity of the first name Adam	r=0.97	38yrs	No
Cigarette Smoking Rate for US adults	r=0.96	21yrs	No
Popularity of the first name Charles	r=0.96	38yrs	No
Popularity of the first name Carolyn	r=0.96	38yrs	No
Associates degrees awarded in law enforcement	r=0.96	11yrs	No
Popularity of the first name Brad	r=0.94	38yrs	No
The wind speed in San Diego	r=0.93	38yrs	No
Air pollution in Los Angeles	r=0.93	38yrs	Yes!
Air pollution in San Diego, California	r=0.93	38yrs	No
Cottage cheese consumption	r=0.9	32yrs	No
The number of musicians in California	r=0.89	20yrs	No
Popularity of the first name George	r=0.84	38yrs	No
Points Scored by Winning Team in Super Bowl	r=0.45	38yrs	No

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Burglaries in California also correlates with...

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^{What is Sys. Score?} 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.)