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

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

Variable	Correlation	Years	Sys. Score
AIG's stock price (AIG)	r=0.91	20yrs	372
Kerosene used in Central African Republic	r=0.92	19yrs	372
Kerosene used in Indonesia	r=0.92	19yrs	372
Popularity of the first name Nelson	r=0.91	20yrs	371
Popularity of the first name Auston	r=0.91	20yrs	371
Popularity of the first name Breona	r=0.92	18yrs	370
Violent crime rates	r=0.89	20yrs	347
Citigroup's stock price (C)	r=0.9	20yrs	341
Lloyds Banking Group's stock price (LYG)	r=0.9	20yrs	341
GMO use in corn grown in Iowa	r=0.85	20yrs	340
Gasoline pumped in Guam	r=0.9	19yrs	338
Popularity of the first name Katlin	r=0.93	13yrs	337
U.S. intercountry adoptions	r=0.87	19yrs	336
US production of cottage cheese	r=0.87	19yrs	336
US milk fat used to produce fluid beverage milk	r=0.87	19yrs	336
Google searches for 'learn spanish'	r=0.86	19yrs	336
Physical album shipment volume in the United States	r=0.86	20yrs	335
Intercountry adoptions	r=0.92	11yrs	332
US dairy skim solids used to produce cottage cheese	r=0.86	19yrs	332
US Motorcycle Manufacturing Industry Revenue	r=0.92	10yrs	311
Kerosene used in Seychelles	r=0.9	19yrs	308
Popularity of the first name Martin	r=0.9	20yrs	300
Petroluem consumption in U.S. Virgin Islands	r=0.89	19yrs	297
Popularity of the first name Yvonne	r=0.9	20yrs	290
Electricity generation in Jamaica	r=0.86	19yrs	286
Popularity of the first name Carol	r=0.9	20yrs	280
Petroluem consumption in Antarctica	r=0.88	19yrs	276
China's Rare Earth Element Export Volume	r=0.85	11yrs	272
Popularity of the first name Beatriz	r=0.9	20yrs	270
How good SciShow Space YouTube video titles are	r=0.88	9yrs	268
How good 3Blue1Brown YouTube video titles are	r=0.89	8yrs	268
How cool Casually Explained YouTube video titles are	r=0.89	8yrs	268
Kerosene used in Dominica	r=0.88	19yrs	266
Popularity of the first name Adolfo	r=0.9	20yrs	260
Highway diesel consumption in US	r=0.87	9yrs	258
Petroluem consumption in Austria	r=0.87	20yrs	255
Popularity of the first name Armand	r=0.9	20yrs	250
Petroluem consumption in Denmark	r=0.86	20yrs	244
Popularity of the first name Hannah	r=0.89	20yrs	238
How 'hip and with it' Casually Explained YouTube video titles are	r=0.89	8yrs	238
Gasoline pumped in Denmark	r=0.86	20yrs	234
Arson in United States	r=0.83	20yrs	233
Motor vehicle thefts	r=0.83	20yrs	233
Total value of all $1 bills printed	r=0.84	20yrs	232
Popularity of the first name Diana	r=0.89	20yrs	228
The distance between Neptune and Mercury	r=0.84	20yrs	228
US household spending on floor coverings	r=0.85	20yrs	228
Air pollution in Mason City, Iowa	r=0.83	20yrs	228
Average views of Casually Explained YouTube videos	r=0.88	8yrs	227
Google searches for 'snoop dog'	r=0.83	19yrs	226
Kerosene used in Japan	r=0.86	20yrs	224
Popularity of the first name Nicolas	r=0.89	20yrs	218
The average number of likes on Casually Explained YouTube videos	r=0.87	8yrs	216
Kerosene used in Malawi	r=0.87	19yrs	214
Popularity of the first name Hope	r=0.89	20yrs	208
Average number of comments on Casually Explained YouTube videos	r=0.87	8yrs	206
Cottage cheese consumption	r=0.85	19yrs	205
Petroluem consumption in Portugal	r=0.85	20yrs	202
Carjackings in the US	r=0.82	19yrs	200
Popularity of the first name Kyra	r=0.89	20yrs	198
Remaining Forest Cover in the Brazilian Amazon	r=0.81	20yrs	198
GMO use in cotton	r=0.82	20yrs	197
Ice cream consumption	r=0.84	19yrs	194
Barclays' stock price (BCS)	r=0.82	20yrs	194
How insightful Casually Explained YouTube video titles are	r=0.86	8yrs	194
Jet fuel used in Saint Vincent/Grenadines	r=0.86	19yrs	192
Google searches for 'Panama Canal'	r=0.8	19yrs	192
The distance between Neptune and the Sun	r=0.8	20yrs	192
The distance between Neptune and Earth	r=0.8	20yrs	192
Air pollution in Davenport, Iowa	r=0.79	20yrs	192
US Employment Rate	r=0.8	20yrs	191
US household spending on postage and stationery	r=0.8	20yrs	191
Popularity of the first name Gloria	r=0.89	20yrs	188
Annual US household spending on floor coverings	r=0.78	20yrs	188
US household spending on clothing for men	r=0.77	20yrs	186
Kerosene used in Tunisia	r=0.86	19yrs	182
How fun Casually Explained YouTube video titles are	r=0.85	8yrs	182
Popularity of the first name Theresa	r=0.89	20yrs	178
Kerosene used in Vietnam	r=0.86	19yrs	172
Arson in Iowa	r=0.82	20yrs	172
Popularity of the first name Pablo	r=0.89	20yrs	168
The distance between Neptune and the moon	r=0.8	20yrs	162
Jet fuel used in Belize	r=0.85	19yrs	161
Google searches for 'black holes'	r=0.79	19yrs	160
Popularity of the first name Tierra	r=0.89	20yrs	158
HSBC Holdings' stock price (HSBC)	r=0.81	20yrs	152
Petroluem consumption in Croatia	r=0.85	19yrs	151
Popularity of the first name Tania	r=0.89	20yrs	148
Sherbet consumption	r=0.8	19yrs	148
Robberies in the US	r=0.79	20yrs	147
Petroluem consumption in Jamaica	r=0.85	19yrs	141
UBS Group AG's stock price (UBS)	r=0.78	20yrs	138
Google searches for 'what is love'	r=-0.92	19yrs	134
US milk fat used to produce cottage cheese	r=0.82	19yrs	133
Sumitomo Mitsui Financial Group's stock price (SMFG)	r=0.79	19yrs	127
US average milk-fat content of cottage cheese	r=0.81	19yrs	118
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.8	19yrs	107
US average milk-fat content of frozen dairy products	r=0.8	19yrs	97
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.77	19yrs	82
Yogurt consumption	r=-0.87	19yrs	64
Blue cheese consumption	r=-0.86	19yrs	54

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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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