Top variables that correlate with US Employment Rate

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Data source: Statista
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US Employment Rate correlates with...

Variable	Correlation	Years	Has img?
AIG's stock price (AIG)	r=0.9	21yrs	No
The number of carpet installers in Arizona	r=0.85	20yrs	No
Robberies in Arizona	r=0.83	33yrs	No
Processed cheese consumption	r=0.74	27yrs	No
Milk consumption	r=0.71	32yrs	No
Popularity of the first name Anton	r=0.69	33yrs	No
Google searches for 'where to buy bleach'	r=-0.9	19yrs	No

US Employment Rate also correlates with...

Variable	Correlation	Years	Sys. Score
The number of receptionists in Massachusetts	r=0.95	20yrs	390
The number of professional painters in Connecticut	r=0.95	20yrs	358
The number of tool and die makers in Mississippi	r=0.93	20yrs	356
Kerosene used in Central African Republic	r=0.9	32yrs	352
Petroluem consumption in Denmark	r=0.9	33yrs	352
Popularity of the first name Hannah	r=0.89	33yrs	351
Popularity of the first name Diana	r=0.89	33yrs	351
Popularity of the first name Precious	r=0.89	33yrs	351
Gasoline pumped in Denmark	r=0.88	33yrs	350
Motor vehicle thefts in South Carolina	r=0.9	33yrs	342
Physical album shipment volume in the United States	r=0.87	24yrs	340
Citigroup's stock price (C)	r=0.89	21yrs	340
Lloyds Banking Group's stock price (LYG)	r=0.89	21yrs	340
Motor vehicle thefts in North Carolina	r=0.89	33yrs	340
Arson in Louisiana	r=0.86	33yrs	336
US Motorcycle Manufacturing Industry Revenue	r=0.92	12yrs	333
Air pollution in Charlotte, North Carolina	r=0.86	33yrs	331
Air quality in Missoula, Montana	r=0.86	33yrs	331
Air pollution in Spartanburg, South Carolina	r=0.86	33yrs	331
The number of groundskeepers in California	r=0.92	20yrs	324
The marriage rate in Wyoming	r=0.89	23yrs	322
The marriage rate in Virginia	r=0.88	23yrs	321
The marriage rate in Wisconsin	r=0.88	23yrs	321
Popularity of the first name Asia	r=0.88	33yrs	320
Kerosene used in Indonesia	r=0.89	32yrs	320
The number of receptionists in Connecticut	r=0.91	20yrs	314
Popularity of the first name Reanna	r=0.88	33yrs	310
Fossil fuel use in Greenland	r=0.86	32yrs	308
The number of receptionists in Illinois	r=0.91	20yrs	304
Popularity of the first name Kaytlin	r=0.88	33yrs	300
Gasoline pumped in Luxembourg	r=0.87	33yrs	298
Air pollution in Greenwood, South Carolina	r=0.88	26yrs	297
The number of surgens in Alabama	r=0.93	16yrs	292
Popularity of the first name Garett	r=0.88	33yrs	290
The marriage rate in Arizona	r=0.87	23yrs	290
Gasoline pumped in Portugal	r=0.87	33yrs	288
The number of travel agents in Puerto Rico	r=0.91	20yrs	282
The marriage rate in Idaho	r=0.87	23yrs	280
Popularity of the first name Kaela	r=0.87	33yrs	278
Kerosene used in United States	r=0.87	33yrs	278
The number of cabinetmakers in California	r=0.9	20yrs	271
The marriage rate in Florida	r=0.86	23yrs	268
Popularity of the first name Kaytlyn	r=0.87	33yrs	268
Petroluem consumption in Antarctica	r=0.87	32yrs	267
The marriage rate in Nevada	r=0.86	23yrs	258
Popularity of the first name Ciarra	r=0.87	32yrs	257
Kerosene used globally	r=0.86	32yrs	256
Popularity of the first name Jose	r=0.86	33yrs	246
Petroluem consumption in Italy	r=0.86	33yrs	246
Ice cream consumption	r=0.83	32yrs	245
Sherbet consumption	r=0.83	32yrs	245
Popularity of the first name Alyssa	r=0.86	33yrs	236
Gasoline pumped in Spain	r=0.86	33yrs	236
The number of tapers in Arizona	r=0.9	20yrs	231
US household spending on clothing for men	r=0.84	23yrs	230
US household spending on floor coverings	r=0.82	23yrs	227
US household spending on clothing	r=0.82	23yrs	227
U.S. intercountry adoptions	r=0.81	23yrs	226
Carjackings in the US	r=0.74	27yrs	226
US household spending on clothin for women	r=0.81	23yrs	226
Popularity of the first name Maria	r=0.86	33yrs	226
NASA's budget as a percentage of the total US Federal Budget	r=0.7	33yrs	225
The distance between Neptune and the Sun	r=0.73	33yrs	225
The distance between Neptune and Earth	r=0.73	33yrs	225
The distance between Neptune and the moon	r=0.73	33yrs	225
Car crashes in the US	r=0.81	24yrs	224
Jet fuel used in Uzbekistan	r=0.85	30yrs	222
The number of floral designers in California	r=0.9	20yrs	221
Popularity of the first name Gabrielle	r=0.86	33yrs	216
The number of brokerage clerks in California	r=0.9	20yrs	211
Popularity of the first name Breanna	r=0.86	33yrs	206
The number of carpenters in Indiana	r=0.9	20yrs	201
US milk fat used to produce fluid beverage milk	r=0.83	22yrs	198
ING Groep's stock price (ING)	r=0.83	21yrs	196
Popularity of the first name Leslie	r=0.86	33yrs	196
The number of brickmasons in Nevada	r=0.9	20yrs	191
US average milk-fat content of cottage cheese	r=0.84	22yrs	186
Popularity of the first name Brendan	r=0.86	33yrs	186
Weyerhaeuser Company's stock price (WY)	r=0.81	21yrs	184
The number of carpenters in New Hampshire	r=0.9	20yrs	181
Popularity of the first name Caitlyn	r=0.86	33yrs	176
Motor vehicle thefts	r=0.69	33yrs	175
The number of sewing machine operators in Mississippi	r=0.89	20yrs	170
Popularity of the first name Gerardo	r=0.86	33yrs	166
Motor vehicle thefts in Michigan	r=0.82	33yrs	164
The number of roofers in Vermont	r=0.89	20yrs	160
Popularity of the first name Enrique	r=0.86	33yrs	156
The number of survey researchers in Arizona	r=0.88	20yrs	148
The number of drywall and ceiling tile installers in Arizona	r=0.88	20yrs	138
The number of coil winders, tapers, and finishers in Florida	r=0.88	20yrs	128
Gasoline pumped in Italy	r=0.85	33yrs	110
Kerosene used in El Salvador	r=0.85	32yrs	99
Kerosene used in Montserrat	r=0.85	32yrs	89
Nuclear power generation in Germany	r=0.83	31yrs	78
Kerosene used in Japan	r=0.84	33yrs	68
Petroluem consumption in Sweden	r=0.84	33yrs	58
Petroluem consumption in United Kingdom	r=0.84	33yrs	48

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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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