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Data source: US Social Security Administration
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Popularity of the first name Julia correlates with...

Variable	Correlation	Years	Has img?
Physical album shipment volume in the United States	r=0.99	24yrs	No
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.99	22yrs	No
Master's degrees awarded in gender studies	r=0.99	10yrs	No
US average milk-fat content of frozen dairy products	r=0.99	22yrs	No
The marriage rate in Wyoming	r=0.99	23yrs	No
The marriage rate in Idaho	r=0.98	23yrs	No
The number of CEOs in Ohio	r=0.98	20yrs	No
The divorce rate in Alabama	r=0.98	23yrs	No
Google searches for 'desktop background'	r=0.98	16yrs	No
Google searches for 'learn spanish'	r=0.97	19yrs	No
US birth rates of triplets or more	r=0.97	20yrs	No
Associates degrees awarded in Accounting	r=0.97	11yrs	No
Google searches for 'black holes'	r=0.95	19yrs	No
Kerosene used in Nepal	r=0.94	42yrs	No
Cigarette Smoking Rate for US adults	r=0.92	21yrs	No
US household spending on prescription drugs	r=0.92	23yrs	No
xkcd comics published about romance	r=0.9	16yrs	No
Gasoline pumped in Luxembourg	r=0.89	43yrs	No
Ticket sales for Cleveland Guardians games	r=0.81	45yrs	No

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Popularity of the first name Julia 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.)