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Data source: National Center for Education Statistics
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Number of highschoolers in the US correlates with...

Variable	Correlation	Years	Has img?
Electricity generation in United States	r=0.99	32yrs	No
The number of nurse practitioners in Hawaii	r=0.97	11yrs	No
Votes for the Republican Presidential candidate in Colorado	r=0.97	8yrs	No
Google searches for 'instagram'	r=0.96	12yrs	No
Air quality in Prescott, Arizona	r=0.96	33yrs	No
The number of computer network architects in New York	r=0.96	11yrs	No
Votes for the Republican Presidential candidate in Minnesota	r=0.95	8yrs	No
Paypal's Number of Active Registered User Accounts	r=0.95	13yrs	No
Number of Lawyers in the United States	r=0.95	33yrs	Yes!
Nuclear power generation in Finland	r=0.93	32yrs	No
Number of households headed by single fathers in the United States	r=0.93	32yrs	No
The number of event planners in Idaho	r=0.92	11yrs	No
Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion	r=0.92	33yrs	Yes!
The number of forensic science technicians in Michigan	r=0.91	20yrs	Yes!
Votes for the Democratic Presidential candidate in Massachusetts	r=0.91	8yrs	No
Petroluem consumption in Czechia	r=0.89	30yrs	No
Ticket sales for Chicago Cubs games	r=0.85	30yrs	No
Popularity of the first name Ariana	r=0.84	33yrs	No
The number of tax preparers in Texas	r=0.83	20yrs	No
UFO sightings in Ohio	r=0.67	32yrs	No

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Number of highschoolers in the US 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.)