Top variables that correlate with US household spending on shoes

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Data source: Bureau of Labor Statistics
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US household spending on shoes correlates with...

Variable	Correlation	Years	Has img?
Popularity of the first name Victoria	r=0.91	23yrs	No
The marriage rate in Ohio	r=0.9	22yrs	No
NASA's budget as a percentage of the total US Federal Budget	r=0.87	23yrs	No
The number of hairdressers, hairstylists, and cosmetologists in Louisiana	r=0.83	20yrs	No
The marriage rate in Kentucky	r=0.82	22yrs	No
Popularity of the first name Marian	r=0.61	23yrs	No
The number of technical writers in California	r=0.61	20yrs	No

US household spending on shoes also correlates with...

Variable	Correlation	Years	Sys. Score
Popularity of the first name Lauryn	r=0.91	23yrs	354
Popularity of the first name Brittanie	r=0.9	20yrs	350
Remaining Forest Cover in the Brazilian Amazon	r=0.86	23yrs	344
Viewership count for Days of Our Lives	r=0.86	22yrs	342
The marriage rate in New Hampshire	r=0.88	22yrs	340
The marriage rate in Missouri	r=0.86	22yrs	337
The number of dishwashers in Georgia	r=0.9	20yrs	321
The number of dishwashers in Michigan	r=0.89	20yrs	320
The number of professional painters in Louisiana	r=0.88	20yrs	318
The marriage rate in North Carolina	r=0.86	22yrs	307
Air pollution in Beaumont, Texas	r=0.87	19yrs	298
Air pollution in Walterboro, South Carolina	r=0.88	17yrs	298
The marriage rate in South Carolina	r=0.86	22yrs	297
Popularity of the first name Whitney	r=0.88	23yrs	290
Per capita consumption of margarine	r=0.91	10yrs	290
The number of shampooers in Maryland	r=0.88	20yrs	288
The marriage rate in Wisconsin	r=0.86	22yrs	287
Popularity of the first name Deborah	r=0.88	23yrs	280
The marriage rate in Tennessee	r=0.85	22yrs	276
The number of cashiers in Vermont	r=0.87	20yrs	276
Popularity of the first name Joanne	r=0.88	23yrs	270
The number of purchasing managers in Mississippi	r=0.86	20yrs	265
Air pollution in Arkadelphia, Arkansas	r=0.87	14yrs	264
Popularity of the first name Hunter	r=0.87	23yrs	258
The number of hairdressers, hairstylists, and cosmetologists in New York	r=0.86	20yrs	255
Popularity of the first name Carolyn	r=0.87	23yrs	248
The number of dishwashers in Maine	r=0.85	20yrs	244
Popularity of the first name Carl	r=0.87	23yrs	238
The number of musicians in New York	r=0.85	20yrs	234
Number of Slot Machines in Nevada	r=0.82	23yrs	234
Kerosene used in Uruguay	r=0.85	22yrs	229
Popularity of the first name Carina	r=0.87	23yrs	228
Kerosene used in Pakistan	r=0.84	22yrs	228
US Tobacco Production	r=0.81	23yrs	226
Nuclear power generation in United Kingdom	r=0.81	22yrs	226
The number of cashiers in Pennsylvania	r=0.85	20yrs	224
Total annual sales of Ford Motors in the United States	r=0.81	22yrs	222
Popularity of the first name Jewel	r=0.87	23yrs	218
Arson in Pennsylvania	r=0.82	23yrs	214
Arson in Louisiana	r=0.81	23yrs	213
Robberies in Louisiana	r=0.81	23yrs	213
Visitors to Disneyland	r=0.84	15yrs	212
Customer satisfaction with Whirlpool	r=0.77	22yrs	210
Popularity of the first name Corrina	r=0.87	23yrs	208
Popularity of the first name Dalton	r=0.86	23yrs	196
Petroluem consumption in Germany	r=0.82	23yrs	196
Physical album shipment volume in the United States	r=0.78	23yrs	191
Popularity of the first name Alec	r=0.86	23yrs	186
Kerosene used in South Korea	r=0.82	23yrs	186
Arson in Rhode Island	r=0.8	23yrs	182
Popularity of the first name Cassidy	r=0.86	23yrs	176
Kerosene used in Egypt	r=0.82	22yrs	174
Arson in Connecticut	r=0.8	23yrs	172
Popularity of the first name Christine	r=0.86	23yrs	166
Liquefied petroleum gas used in Italy	r=0.81	23yrs	164
Air pollution in Columbus	r=0.82	23yrs	163
The marriage rate in Kansas	r=0.85	22yrs	160
Robberies in Puerto Rico	r=0.79	23yrs	160
Popularity of the first name Marc	r=0.86	23yrs	156
Kerosene used in Portugal	r=0.81	23yrs	154
Air pollution in Sonora, California	r=0.84	23yrs	153
The marriage rate in Minnesota	r=0.85	22yrs	150
Popularity of the first name Deandre	r=0.86	23yrs	146
Kerosene used in Philippines	r=0.81	22yrs	143
The divorce rate in Ohio	r=0.84	22yrs	140
Air pollution in Mobile, Alabama	r=0.84	19yrs	139
Popularity of the first name Kassidy	r=0.86	23yrs	136
Petroluem consumption in Denmark	r=0.8	23yrs	132
The divorce rate in Tennessee	r=0.84	22yrs	130
Popularity of the first name Alisa	r=0.86	23yrs	126
Jet fuel used in Gabon	r=0.8	22yrs	122
The marriage rate in Arkansas	r=0.84	22yrs	119
Kerosene used in Peru	r=0.8	22yrs	112
The marriage rate in Illinois	r=0.84	22yrs	109
The number of automotive service technicians and mechanics in New York	r=0.85	20yrs	108
Gasoline pumped in United Kingdom	r=0.8	23yrs	102
The divorce rate in Maryland	r=0.83	22yrs	99
The number of highway maintenance workers in Florida	r=0.84	20yrs	97
Gasoline pumped in Italy	r=0.79	23yrs	91
The divorce rate in Oregon	r=0.83	22yrs	89
The number of CEOs in Indiana	r=0.83	20yrs	87
Kerosene used in Australia	r=0.78	23yrs	80
The marriage rate in South Dakota	r=0.83	22yrs	78
The number of waiters and waitresses in Iowa	r=0.84	20yrs	77
The marriage rate in Virginia	r=0.83	22yrs	68
The number of purchasing managers in Kentucky	r=0.84	20yrs	67
The marriage rate in West Virginia	r=0.83	22yrs	58
The number of automotive service technicians and mechanics in Massachusetts	r=0.84	20yrs	57
The divorce rate in New Hampshire	r=0.82	22yrs	48
The number of file clerks in District of Columbia	r=0.83	20yrs	46
Jet fuel used in Barbados	r=0.79	22yrs	40
The number of industrial production managers in Hawaii	r=0.83	20yrs	36
Kerosene used in Guyana	r=0.79	22yrs	30
Petroluem consumption in Japan	r=0.78	23yrs	20
The number of switchboard operators in Nebraska	r=0.83	20yrs	16
Gasoline pumped in Portugal	r=0.78	23yrs	10

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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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