Top variables that correlate with Jet fuel used in Solomon Islands

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Data source: Energy Information Administration
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Jet fuel used in Solomon Islands correlates with...

Variable	Correlation	Years	Sys. Score
Butter consumption	r=0.91	32yrs	392
Italian-type cheese consumption	r=0.91	27yrs	387
GMO use in corn	r=0.93	22yrs	384
Inflation in the US	r=0.91	30yrs	382
GMO use in cotton	r=0.92	22yrs	379
U.S. direct investment abroad	r=0.92	22yrs	378
Google searches for 'best place to work'	r=0.95	18yrs	378
US milk fat used to produce whey products (net)	r=0.92	22yrs	376
Annual US household spending on maintenance and repairs	r=0.92	22yrs	376
The average number of likes on The Game Theorists YouTube videos	r=0.93	13yrs	374
Annual US household spending on eggs	r=0.9	22yrs	373
Annual US household spending on telephone services	r=0.9	22yrs	373
Economic output of Washington metro area	r=0.9	21yrs	372
Royal Bank of Canada's stock price (RY)	r=0.91	20yrs	372
Adidas Group's Global Net Sales	r=0.9	22yrs	370
GMO use in corn grown in Illinois	r=0.94	22yrs	365
Food spending in Louisiana	r=0.93	24yrs	358
Food spending in New Jersey	r=0.93	24yrs	358
Grocery store spend in Connecticut	r=0.93	24yrs	358
Number of Lawyers in the United States	r=0.86	33yrs	356
Annual Revenue of Walt Disney Company	r=0.89	31yrs	354
The number of correctional officers and jailers in Arkansas	r=0.93	19yrs	354
The number of producers and directors in Connecticut	r=0.93	19yrs	354
The number of lawyers in Indiana	r=0.92	19yrs	354
Air pollution in Edwards, Colorado	r=0.99	7yrs	354
Total Sales at Clothing and Accessories Stores	r=0.87	30yrs	350
US Shoe Store Sales	r=0.89	30yrs	350
Number of households headed by single fathers in the United States	r=0.87	32yrs	350
Number of public school students in 12th grade	r=0.86	32yrs	350
Votes for the Democratic Presidential candidate in North Carolina	r=0.95	9yrs	350
Ticket prices at North American movie theaters	r=0.9	21yrs	345
US production of cheese (other than cottage cheese)	r=0.91	22yrs	344
Yearly Total Gross Income of US Farms	r=0.89	22yrs	343
Annual US household spending on utilities	r=0.9	22yrs	343
Annual US household spending on fresh fruits	r=0.89	22yrs	342
Annual US household spending on housing	r=0.89	22yrs	342
Annual US household spending on property taxes	r=0.89	22yrs	342
US production of butter	r=0.91	22yrs	334
GMO use in corn grown in Iowa	r=0.93	22yrs	334
Grocery store spend in Washington	r=0.93	24yrs	328
US production of sour cream	r=0.91	22yrs	324
GMO use in corn grown in Nebraska	r=0.93	22yrs	324
The number of nursing instructors and teachers in New York	r=0.93	19yrs	324
Grocery store spend in West Virginia	r=0.93	24yrs	318
US milk fat used to produce butter	r=0.91	22yrs	314
GMO use in corn grown in Wisconsin	r=0.93	22yrs	314
The number of accountants and auditors in Colorado	r=0.92	19yrs	313
Restaurant spending in Alabama	r=0.91	24yrs	308
US milk fat used to produce yogurt	r=0.91	22yrs	304
The number of pharmacists in North Carolina	r=0.91	19yrs	303
GMO use in corn grown in Kansas	r=0.92	22yrs	302
Restaurant spending in Illinois	r=0.91	24yrs	298
Number of internet users	r=0.89	24yrs	296
US milk fat used to produce cheese (excluding cottage cheese)	r=0.9	22yrs	293
The number of physical therapists in Oregon	r=0.92	19yrs	293
GMO use in corn grown in Minnesota	r=0.92	22yrs	292
Restaurant spending in Louisiana	r=0.91	24yrs	288
US per-person consumption of bottled water	r=0.89	23yrs	287
US dairy skim solids used to produce cheese (other than cottage cheese)	r=0.91	22yrs	283
The number of veterinarians in Alabama	r=0.91	19yrs	282
GMO use in corn grown in Michigan	r=0.91	21yrs	280
Restaurant spending in Michigan	r=0.91	24yrs	278
US dairy skim solids used to produce butter	r=0.91	22yrs	273
The number of physical therapists in Arkansas	r=0.91	19yrs	272
GMO use in corn grown in South Dakota	r=0.91	22yrs	270
Restaurant spending in Ohio	r=0.91	24yrs	268
US dairy skim solids used to produce yogurt, nonfrozen	r=0.91	22yrs	263
The number of medical assistants in Missouri	r=0.91	19yrs	262
GMO use in corn grown in Illinois	r=0.91	22yrs	260
US Bottled Water Consumption per Person	r=0.89	23yrs	258
Food spending in Alaska	r=0.92	24yrs	256
US dairy skim solids used to produce evaporated and condensed milk	r=0.91	22yrs	253
The number of respiratory therapists in North Carolina	r=0.91	19yrs	252
GMO use in corn grown in Ohio	r=0.91	22yrs	250
Food spending in Arizona	r=0.92	24yrs	246
The number of occupational therapists in Pennsylvania	r=0.91	19yrs	242
US average dairy skim-solid content of fluid beverage milk	r=0.9	22yrs	240
GMO use in cotton in Texas	r=0.93	22yrs	240
Food spending in Connecticut	r=0.92	24yrs	236
The number of consultants in South Dakota	r=0.91	19yrs	232
GMO use in cotton in Texas	r=0.92	22yrs	229
Food spending in Florida	r=0.92	24yrs	226
The number of pharmacy technicians in Wyoming	r=0.91	19yrs	222
Yogurt consumption	r=0.87	32yrs	216
GMO use in cotton in North Carolina	r=0.9	22yrs	216
Food spending in Georgia	r=0.92	24yrs	216
The number of medical assistants in Michigan	r=0.9	19yrs	210
Mozzarella cheese consumption	r=0.9	27yrs	206
Food spending in Idaho	r=0.92	24yrs	206
The number of massage therapists in Utah	r=0.9	19yrs	200
GMO use in corn	r=0.89	22yrs	198
Food spending in Illinois	r=0.92	24yrs	196
Milk-fat consumption	r=0.86	32yrs	194
The number of chemical equipment operators and tenders in Utah	r=0.9	19yrs	190
Food spending in Kentucky	r=0.92	24yrs	186
Hispanic cheese consumption	r=0.9	26yrs	184
GMO use in cotton	r=0.89	22yrs	184
Food spending in Maryland	r=0.92	24yrs	176
Muenster cheese consumption	r=0.85	27yrs	168
Food spending in Minnesota	r=0.92	24yrs	166
Natural cheese consumption	r=0.89	27yrs	156

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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.)


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