Top variables that correlate with Petroluem consumption in American Samoa

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

Variable	Correlation	Years	Sys. Score
Portion of all US dairy skim-solids allocated to the production of cottage cheese	r=0.99	22yrs	414
Global Per Capita Rice Consumption	r=0.97	20yrs	412
The number of bailiffs in Oklahoma	r=0.96	15yrs	386
The number of compensation and benefits managers in Delaware	r=0.96	15yrs	385
Sherbet consumption	r=0.9	32yrs	360
The number of receptionists in Delaware	r=0.95	19yrs	359
Popularity of the first name Manuel	r=0.86	42yrs	356
Popularity of the first name Hector	r=0.86	42yrs	356
Popularity of the first name Ricardo	r=0.85	42yrs	354
xkcd comics published about romance	r=0.9	15yrs	342
U.S. intercountry adoptions	r=0.87	23yrs	340
Google searches for 't-rex'	r=0.9	18yrs	340
US household spending on mortgage interest and charges	r=0.88	22yrs	340
Motor vehicle thefts in North Carolina	r=0.86	37yrs	340
US household spending on natural gas	r=0.87	22yrs	338
US household spending on floor coverings	r=0.85	22yrs	336
The number of brickmasons in Arkansas	r=0.95	19yrs	328
GMO use in corn grown in Nebraska	r=0.89	22yrs	328
Popularity of the first name Pedro	r=0.85	42yrs	324
GMO use in cotton in Texas	r=0.89	22yrs	324
GMO use in corn grown in Michigan	r=0.86	22yrs	323
The number of kindergarten teachers in Mississippi	r=0.95	19yrs	318
Global iPod Sales	r=0.91	9yrs	313
Annual book sales in the US	r=0.9	11yrs	310
The number of CEOs in Rhode Island	r=0.94	19yrs	308
The number of furniture finishers in California	r=0.94	19yrs	296
GMO use in corn grown in Minnesota	r=0.85	22yrs	292
The number of correctional officers and jailers in Maryland	r=0.94	19yrs	286
The number of movies Zendaya appeared in	r=0.87	11yrs	285
GMO use in corn grown in Texas	r=0.87	17yrs	280
The number of prepress technicians and workers in Virginia	r=0.94	19yrs	276
The number of compensation and benefits managers in New Mexico	r=0.94	18yrs	265
The number of computer programmers in Iowa	r=0.92	19yrs	254
Ice cream consumption	r=0.85	32yrs	248
The number of authors in Minnesota	r=0.92	19yrs	244
The number of vending machine repairers in Nevada	r=0.92	19yrs	234
Robberies in South Carolina	r=0.83	37yrs	230
Annual US household spending on floor coverings	r=0.84	22yrs	229
US household spending on vehicle insurance	r=0.83	22yrs	228
Asthma attacks in American children	r=0.79	23yrs	227
Robberies in North Carolina	r=0.81	37yrs	227
Orange's stock price (ORAN)	r=0.82	20yrs	224
The number of postal service mail carriers in New Jersey	r=0.93	19yrs	224
US household spending on postage and stationery	r=0.8	22yrs	223
US Employment Rate	r=0.72	32yrs	221
National Lacrosse Champions' Final Point	r=0.77	24yrs	220
Air pollution in Virginia Beach, Virginia	r=0.72	42yrs	214
The number of cutters and trimmers, hand in New Jersey	r=0.93	19yrs	214
Milk consumption	r=0.81	32yrs	214
Air pollution in Gulfport, Mississippi	r=0.74	38yrs	213
Air pollution in Barnstable Town, Massachusetts	r=0.76	35yrs	213
Popularity of the first name Jose	r=0.85	42yrs	209
The number of file clerks in New Mexico	r=0.93	19yrs	204
Popularity of the first name Freddy	r=0.85	42yrs	199
Robberies in Pennsylvania	r=0.81	37yrs	197
The number of sheet metal workers in North Carolina	r=0.93	19yrs	194
Cottage cheese consumption	r=0.75	32yrs	193
Popularity of the first name Rigoberto	r=0.85	42yrs	189
Robberies in Alabama	r=0.8	37yrs	186
The number of telecommunications line installers and repairers in Washington	r=0.93	19yrs	184
GMO use in cotton	r=0.85	22yrs	184
Popularity of the first name Juan	r=0.84	42yrs	178
US production of cottage cheese	r=0.82	22yrs	176
Motor vehicle thefts in Maryland	r=0.79	37yrs	174
The number of data entry keyers in West Virginia	r=0.93	19yrs	174
Popularity of the first name Salvador	r=0.84	42yrs	168
GMO use in cotton	r=0.81	22yrs	168
US milk fat used to produce fluid beverage milk	r=0.82	22yrs	166
Robberies in Arizona	r=0.79	37yrs	164
The number of computer programmers in Puerto Rico	r=0.92	19yrs	164
US average milk-fat content of cottage cheese	r=0.84	22yrs	156
Popularity of the first name Victor	r=0.83	42yrs	156
Burglaries in North Carolina	r=0.78	37yrs	152
GMO use in corn	r=0.85	22yrs	146
Popularity of the first name Julio	r=0.83	42yrs	146
US dairy skim solids used to produce cottage cheese	r=0.82	22yrs	144
Robberies in Ohio	r=0.78	37yrs	142
Popularity of the first name Arturo	r=0.83	42yrs	136
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.83	22yrs	134
GMO use in cotton in Arkansas	r=0.85	22yrs	134
Robberies in Virginia	r=0.78	37yrs	132
Popularity of the first name Felipe	r=0.83	42yrs	126
US production of fluid beverage milk	r=0.8	22yrs	123
Arson in Missouri	r=0.77	37yrs	121
Popularity of the first name Rogelio	r=0.83	42yrs	116
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.82	22yrs	113
Motor vehicle thefts in Georgia	r=0.76	37yrs	110
Popularity of the first name Nathanial	r=0.83	42yrs	106
US average dairy skim-solid content of whey products (net)	r=0.82	22yrs	103
Motor vehicle thefts in Nevada	r=0.75	37yrs	98
Popularity of the first name Carlos	r=0.82	42yrs	94
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.81	22yrs	92
Motor vehicle thefts in South Carolina	r=0.75	37yrs	88
Popularity of the first name Raul	r=0.82	42yrs	84
Motor vehicle thefts in West Virginia	r=0.75	37yrs	78
Popularity of the first name Shayla	r=0.82	42yrs	74
Robberies in Tennessee	r=0.75	37yrs	68
Popularity of the first name Ernesto	r=0.82	42yrs	64
Burglaries in Tennessee	r=0.73	37yrs	55
Popularity of the first name Guillermo	r=0.82	42yrs	54
Motor vehicle thefts in Ohio	r=0.72	37yrs	44

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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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