Top variables that correlate with The number of tool and die makers in Missouri

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Data source: Bureau of Larbor Statistics
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The number of tool and die makers in Missouri correlates with...

Variable	Correlation	Years	Sys. Score
Popularity of the first name Anne	r=0.88	20yrs	336
Popularity of the first name Kory	r=0.88	20yrs	336
Popularity of the first name Pauline	r=0.87	20yrs	335
The marriage rate in Missouri	r=0.86	19yrs	334
Jet fuel used in Barbados	r=0.86	19yrs	332
Kerosene used in Sierra Leone	r=0.86	19yrs	332
Jet fuel used in Uzbekistan	r=0.86	19yrs	332
Divorce rates in the United Kingdom	r=0.91	10yrs	314
Popularity of the first name Joann	r=0.87	20yrs	305
Kerosene used in Tunisia	r=0.85	19yrs	301
Popularity of the first name James	r=0.86	20yrs	294
Per capita consumption of margarine	r=0.9	7yrs	290
Popularity of the first name Thomas	r=0.86	20yrs	284
Car crashes in the US	r=0.89	12yrs	278
Popularity of the first name Lawrence	r=0.86	20yrs	274
How clickbait-y SciShow Space YouTube video titles are	r=0.87	9yrs	266
Popularity of the first name Ann	r=0.86	20yrs	264
Number of Automotive Franchise Establishments in the US	r=0.88	8yrs	258
Popularity of the first name Tory	r=0.86	20yrs	254
Popularity of the first name Lisa	r=0.85	20yrs	242
Popularity of the first name Antonia	r=0.85	20yrs	232
Popularity of the first name Kurt	r=0.85	20yrs	222
Popularity of the first name Moesha	r=0.9	12yrs	212
Popularity of the first name Joanne	r=0.85	20yrs	202
Motor vehicle thefts	r=0.81	20yrs	200
Carjackings in the US	r=0.8	19yrs	198
NASA's budget as a percentage of the total US Federal Budget	r=0.79	20yrs	196
Viewership count for Days of Our Lives	r=0.8	19yrs	194
Cottage cheese consumption	r=0.78	19yrs	194
Ice cream consumption	r=0.78	19yrs	194
Frozen yogurt consumption	r=0.78	19yrs	194
Total annual sales of Ford Motors in the United States	r=0.83	19yrs	192
Google searches for 'Panama Canal'	r=0.8	19yrs	192
Physical album shipment volume in the United States	r=0.79	20yrs	190
U.S. intercountry adoptions	r=0.8	19yrs	190
Google searches for 'panama canal'	r=0.79	19yrs	190
US Employment Rate	r=0.78	20yrs	188
AIG's stock price (AIG)	r=0.78	20yrs	188
Jet fuel used in Cuba	r=0.84	19yrs	184
The number of movies Ian Holm appeared in	r=0.83	12yrs	175
Kerosene used in Seychelles	r=0.84	19yrs	174
US birth rates of triplets or more	r=0.75	19yrs	170
Remaining Forest Cover in the Brazilian Amazon	r=0.75	20yrs	170
US household spending on property taxes	r=-0.87	20yrs	168
Total value of all $1 bills printed	r=0.75	20yrs	168
Google searches for 'black holes'	r=0.76	19yrs	166
Arson in United States	r=0.72	20yrs	166
US household spending on books	r=0.76	20yrs	165
Citigroup's stock price (C)	r=0.75	20yrs	164
Kerosene used in Taiwan	r=0.83	19yrs	163
Total viewership of the Aviva Premiership Rugby final	r=-0.93	12yrs	163
US average milk-fat content of frozen dairy products	r=0.83	19yrs	162
Lloyds Banking Group's stock price (LYG)	r=0.74	20yrs	162
US household spending on transportation	r=0.74	20yrs	162
US household spending on clothing	r=0.73	20yrs	160
US household spending on clothing for men	r=0.73	20yrs	160
GMO use in cotton	r=0.7	20yrs	159
US household spending on floor coverings	r=0.72	20yrs	159
Automotive recalls for issues with Vehicle Speed Control	r=0.71	20yrs	158
Annual US household spending on books	r=0.7	20yrs	156
How insightful Technology Connections YouTube video titles are	r=0.84	8yrs	156
Bachelor's degrees awarded in Theology and religious vocations	r=0.83	10yrs	154
US household spending on postage and stationery	r=0.69	20yrs	154
US household spending on new cars	r=0.69	20yrs	154
Bachelor's degrees awarded in consumer sciences	r=0.81	10yrs	150
US average dairy skim-solid content of bulk evaporated and condensed milk	r=0.81	19yrs	148
Wind power generated in Samoa	r=0.86	8yrs	140
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.8	19yrs	137
Violent crime rates	r=0.7	20yrs	134
Google searches for 'snoop dog'	r=0.73	19yrs	131
General Electric's stock price (GE)	r=0.69	20yrs	128
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.79	19yrs	126
Kerosene used in Jordan	r=0.83	19yrs	123
Number of Las Vegas Hotel Room Check-Ins	r=-0.95	11yrs	120
Google searches for 'learn spanish'	r=0.72	19yrs	120
Kerosene used in Nepal	r=0.83	19yrs	113
Jet fuel used in Belize	r=0.82	19yrs	102
Intercountry adoptions	r=0.84	11yrs	95
US production of cottage cheese	r=0.76	19yrs	94
Kerosene used in Philippines	r=0.82	19yrs	92
Popularity of the first name Peter	r=0.85	20yrs	87
Kerosene used in Vietnam	r=0.82	19yrs	82
Sherbet consumption	r=0.7	19yrs	82
Popularity of the first name Spencer	r=0.85	20yrs	77
US dairy skim solids used to produce cottage cheese	r=0.76	19yrs	72
Popularity of the first name Nina	r=0.85	20yrs	67
US average milk-fat content of cottage cheese	r=0.77	19yrs	62
Nuclear power generation in United Kingdom	r=0.79	19yrs	60
Popularity of the first name Karl	r=0.85	20yrs	57
Petroluem consumption in Antarctica	r=0.81	19yrs	50
US milk fat used to produce fluid beverage milk	r=0.72	19yrs	48
Popularity of the first name Hannah	r=0.84	20yrs	46
Kerosene used in Indonesia	r=0.81	19yrs	40
Popularity of the first name Ana	r=0.84	20yrs	36
US production of frozen dairy products	r=0.7	19yrs	35
Petroluem consumption in Puerto Rico	r=0.81	19yrs	30
Portion of all US dairy skim-solids allocated to the production of evaporated and condensed milk	r=0.72	19yrs	25
Kerosene used in Thailand	r=0.81	19yrs	20
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.72	19yrs	15
Fossil fuel use in Czechia	r=0.78	19yrs	8
Fossil fuel use in Macau	r=0.78	19yrs	-2

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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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