Top variables that correlate with Kerosene used in Jordan

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Data source: Energy Information Administration
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Kerosene used in Jordan correlates with...

Variable	Correlation	Years	Has img?
Google searches for 'rick and morty'	r=0.83	9yrs	No

Kerosene used in Jordan also correlates with...

Variable	Correlation	Years	Sys. Score
GMO use in corn grown in South Dakota	r=0.9	22yrs	359
Popularity of the first name Brandon	r=0.86	42yrs	356
Popularity of the first name Claudia	r=0.86	42yrs	356
Popularity of the first name Branden	r=0.86	42yrs	356
The number of postal service clerks in Massachusetts	r=0.93	19yrs	354
The number of file clerks in Indiana	r=0.91	19yrs	352
The number of advertising and promotions managers in New Mexico	r=0.91	19yrs	352
Arson in Washington	r=0.89	37yrs	344
Physical album shipment volume in the United States	r=0.89	23yrs	342
US milk fat used to produce fluid beverage milk	r=0.88	22yrs	340
Arson in Oregon	r=0.85	37yrs	338
Motor vehicle thefts in Idaho	r=0.85	37yrs	338
Air quality in Santa Fe, New Mexico	r=0.85	42yrs	338
US household spending on floor coverings	r=0.86	22yrs	337
US household spending on books	r=0.86	22yrs	337
US average milk-fat content of frozen dairy products	r=0.85	22yrs	332
Popularity of the first name Nicholas	r=0.85	42yrs	324
The number of postal service clerks in Rhode Island	r=0.91	19yrs	322
GMO use in cotton in North Carolina	r=0.87	22yrs	322
The marriage rate in Utah	r=0.89	23yrs	322
The marriage rate in Arkansas	r=0.87	23yrs	320
The marriage rate in Nevada	r=0.87	23yrs	320
The wind speed in Los Angeles	r=0.87	21yrs	319
Popularity of the first name Rebekah	r=0.85	42yrs	314
The number of electric motor repairers in South Carolina	r=0.91	19yrs	312
China's Rare Earth Element Export Volume	r=0.9	11yrs	309
Google searches for 'boujee'	r=0.95	6yrs	301
The number of sewing machine operators in North Carolina	r=0.9	19yrs	300
The number of switchboard operators in Utah	r=0.9	19yrs	290
The marriage rate in Virginia	r=0.87	23yrs	290
The number of brickmasons in Wisconsin	r=0.9	19yrs	280
The marriage rate in Tennessee	r=0.86	23yrs	278
The marriage rate in Wisconsin	r=0.86	23yrs	268
The divorce rate in Alabama	r=0.85	23yrs	258
Ice cream consumption	r=0.82	32yrs	244
NASA's budget as a percentage of the total US Federal Budget	r=0.77	42yrs	244
The number of crane operators in Connecticut	r=0.9	19yrs	240
Divorce rates in the United Kingdom	r=0.82	33yrs	238
Viewership count for Days of Our Lives	r=0.72	42yrs	236
Remaining Forest Cover in the Brazilian Amazon	r=0.76	35yrs	236
Disney movies released	r=0.83	22yrs	235
The distance between Neptune and the Sun	r=0.71	42yrs	231
The number of sewing machine operators in Louisiana	r=0.9	19yrs	230
The distance between Neptune and Earth	r=0.7	42yrs	230
The distance between Neptune and the moon	r=0.7	42yrs	230
Annual US household spending on books	r=0.85	22yrs	230
US household spending on beef	r=0.84	22yrs	229
US Employment Rate	r=0.77	32yrs	228
Total annual sales of Ford Motors in the United States	r=0.83	23yrs	226
Emmy Awards Ceremony viewership	r=0.72	35yrs	224
US household spending on clothing	r=0.81	22yrs	224
US household spending on new cars	r=0.81	22yrs	224
The number of sewing machine operators in New Jersey	r=0.9	19yrs	220
Motor vehicle thefts	r=0.8	37yrs	216
Milk consumption	r=0.79	32yrs	210
The number of coil winders, tapers, and finishers in Arkansas	r=0.89	19yrs	208
Arson in United States	r=0.77	37yrs	201
Popularity of the first name Desiree	r=0.84	42yrs	198
The number of postal service machine operators in Delaware	r=0.89	19yrs	198
Sherbet consumption	r=0.78	32yrs	198
The distance between Neptune and Mercury	r=0.68	42yrs	196
Violent crime rates	r=0.76	37yrs	190
Popularity of the first name Ruben	r=0.84	42yrs	188
The number of telemarketers in Illinois	r=0.88	19yrs	188
Cottage cheese consumption	r=0.76	32yrs	184
The number of couriers and messengers in Kentucky	r=0.89	19yrs	178
Popularity of the first name Clarissa	r=0.83	42yrs	176
Carjackings in the US	r=0.77	27yrs	176
Robberies in the US	r=0.73	37yrs	175
Processed cheese consumption	r=0.78	27yrs	172
The number of cabinetmakers in North Carolina	r=0.89	19yrs	168
Popularity of the first name Rodolfo	r=0.83	42yrs	166
Motor vehicle thefts in Maryland	r=0.85	37yrs	163
The number of plumbers in Ohio	r=0.88	19yrs	158
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.85	22yrs	158
Popularity of the first name Brandan	r=0.83	42yrs	156
Motor vehicle thefts in Tennessee	r=0.85	37yrs	153
The number of sheet metal workers in Ohio	r=0.89	19yrs	148
Popularity of the first name Brenda	r=0.82	42yrs	144
US milk fat used to produce cottage cheese	r=0.81	22yrs	144
Arson in Missouri	r=0.84	37yrs	142
The number of cutters and trimmers, hand in Georgia	r=0.88	19yrs	137
Popularity of the first name Alberto	r=0.82	42yrs	134
Motor vehicle thefts in Ohio	r=0.84	37yrs	132
The number of bakers in Indiana	r=0.88	19yrs	127
Popularity of the first name Larissa	r=0.82	42yrs	124
Popularity of the first name Alfonso	r=0.82	42yrs	114
Motor vehicle thefts in Michigan	r=0.83	37yrs	110
Popularity of the first name Gregorio	r=0.82	42yrs	104
Motor vehicle thefts in Louisiana	r=0.83	37yrs	100
Popularity of the first name Schuyler	r=0.82	42yrs	94
Motor vehicle thefts in Florida	r=0.83	37yrs	90
Popularity of the first name Rachel	r=0.81	42yrs	83
Motor vehicle thefts in Indiana	r=0.82	37yrs	78
Popularity of the first name Maria	r=0.81	42yrs	73
Arson in Maryland	r=0.81	37yrs	67
Popularity of the first name Jared	r=0.81	42yrs	63
Arson in Texas	r=0.81	37yrs	57
Popularity of the first name Jacqueline	r=0.81	42yrs	53
Motor vehicle thefts in Virginia	r=0.81	37yrs	47
Robberies in Tennessee	r=0.81	37yrs	37

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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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