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Data source: Energy Information Administration
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Petroluem consumption in Liberia correlates with...

VariableCorrelationYearsSys. Score
US Shoe Store Salesr=0.9630yrs420
Number of internet usersr=0.9624yrs417
GMO use in cottonr=0.9622yrs415
Cognizant Technology Solutions' stock price (CTSH)r=0.9720yrs412
Annual US household spending on rented dwellingsr=0.9622yrs412
Annual US household spending on healthcarer=0.9622yrs412
Annual US household spending on health insurancer=0.9622yrs412
US household spending on healthcarer=0.9622yrs412
US household spending on health insurancer=0.9622yrs412
US production of cheese (other than cottage cheese)r=0.9522yrs410
US milk fat used to produce cheese (excluding cottage cheese)r=0.9522yrs410
Google searches for 'tummy ache'r=0.9618yrs410
Novo Nordisk's stock price (NVO)r=0.9620yrs410
Annual US household spending on telephone servicesr=0.9522yrs410
US dairy skim solids used to produce cheese (other than cottage cheese)r=0.9522yrs409
Total Revenue of the NFL Teamsr=0.9520yrs408
Google searches for 'ice bath'r=0.9518yrs408
Public Storage's stock price (PSA)r=0.9520yrs408
Percentage of Americans with social media profilesr=0.9614yrs406
Revenue of US Broadcasting Industryr=0.9517yrs406
Restaurant spending in Kentuckyr=0.9724yrs397
Restaurant spending in Alabamar=0.9624yrs396
Restaurant spending in Alaskar=0.9624yrs396
GMO use in cotton in Texasr=0.9622yrs395
Popularity of the first name Jolener=0.9142yrs393
Annual Revenue of Walt Disney Companyr=0.9531yrs392
The number of sonographers in Massachusettsr=0.9719yrs392
The number of paralegals in South Carolinar=0.9618yrs390
The number of office clerks in Wyomingr=0.9719yrs390
Inflation in the USr=0.9430yrs387
Total Sales at Clothing and Accessories Storesr=0.930yrs384
Number of households headed by single fathers in the United Statesr=0.932yrs384
GMO use in cornr=0.9222yrs382
US household spending on rented dwellingsr=0.9522yrs380
Annual US household spending on medical suppliesr=0.9422yrs379
Annual US household spending on fresh fruitsr=0.9322yrs378
How trendy SmarterEveryDay YouTube video titles arer=0.9415yrs378
US average milk-fat content of cheese (other than cottage cheese)r=0.9522yrs378
Ticket prices at North American movie theatersr=0.9121yrs376
Google searches for 'highest paying jobs'r=0.9418yrs376
US average dairy skim-solid content of yogurt, nonfrozenr=0.9522yrs368
Restaurant spending in Arkansasr=0.9624yrs366
The number of pharmacy technicians in Puerto Ricor=0.9719yrs360
Restaurant spending in Californiar=0.9624yrs356
Dollar Tree's stock price (DLTR)r=0.9520yrs352
The number of Breweries in the United Statesr=0.9132yrs352
The number of personal financial advisors in Indianar=0.9619yrs349
Restaurant spending in Colorador=0.9624yrs346
Butter consumptionr=0.9332yrs345
The number of restaurant cooks in Indianar=0.9619yrs339
The Coca-Cola Company's stock price (KO)r=0.9220yrs338
Restaurant spending in Floridar=0.9624yrs336
Milk-fat consumptionr=0.9332yrs335
Number of websites on the internetr=0.928yrs334
The number of medical assistants in New Hampshirer=0.9619yrs329
U.S. direct investment abroadr=0.9522yrs327
Genuine Parts Company's stock price (GPC)r=0.9420yrs327
Restaurant spending in Georgiar=0.9624yrs326
Italian-type cheese consumptionr=0.9527yrs323
US per-person consumption of bottled waterr=0.9423yrs320
The number of sales managers in Oregonr=0.9619yrs319
US Bottled Water Consumption per Personr=0.9423yrs316
Restaurant spending in Illinoisr=0.9624yrs316
US Wind Power Generation Capacityr=0.9422yrs314
Mozzarella cheese consumptionr=0.9527yrs313
The number of industrial machinery mechanics in Californiar=0.9519yrs308
Economic output of Washington metro arear=0.9321yrs306
Restaurant spending in Louisianar=0.9624yrs306
Adidas Group's Global Net Salesr=0.9422yrs301
American cheese consumptionr=0.932yrs300
The number of physical therapists in Colorador=0.9519yrs298
Annual Revenue of the Lego Groupr=0.9419yrs296
Restaurant spending in Massachusettsr=0.9624yrs296
Hispanic cheese consumptionr=0.9226yrs288
The number of insurance sales agents in Colorador=0.9519yrs288
Restaurant spending in Michiganr=0.9624yrs286
The number of clergy in Marylandr=0.9519yrs278
American-type cheese consumptionr=0.927yrs276
Restaurant spending in Mississippir=0.9624yrs276
The number of surgical technologists in Montanar=0.9519yrs268
Natural cheese consumptionr=0.9527yrs266
Restaurant spending in Missourir=0.9624yrs266
The number of social workers in Nebraskar=0.9519yrs258
Restaurant spending in Nebraskar=0.9624yrs256
The number of marketing managers in New Jerseyr=0.9519yrs248
US production of whey products (net)r=0.9322yrs248
Restaurant spending in New Jerseyr=0.9624yrs246
The number of operations research analysts in New Yorkr=0.9519yrs238
US production of dry milk products (net)r=0.9322yrs238
Restaurant spending in North Carolinar=0.9624yrs236
The number of art directors in New Yorkr=0.9519yrs228
US production of sour creamr=0.9322yrs228
Restaurant spending in North Dakotar=0.9624yrs226
The number of respiratory therapists in Ohior=0.9519yrs218
US dairy skim solids used to produce whey productsr=0.9422yrs218
Restaurant spending in Ohior=0.9624yrs216
The number of civil engineers in South Dakotar=0.9519yrs208
US dairy skim solids used to produce dry milk productsr=0.9322yrs206
Restaurant spending in Oklahomar=0.9624yrs206
The number of kindergarten teachers in South Dakotar=0.9519yrs198
US dairy skim solids used to produce yogurt, nonfrozenr=0.9322yrs196


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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.)
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