Top variables that correlate with The number of industrial production managers in New York

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Data source: Bureau of Larbor Statistics
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The number of industrial production managers in New York correlates with...

Variable	Correlation	Years	Sys. Score
Kerosene used in Nepal	r=0.93	19yrs	373
Divorce rates in the United Kingdom	r=0.96	10yrs	372
Gasoline pumped in France	r=0.92	20yrs	372
Gasoline pumped in Germany	r=0.92	20yrs	372
Popularity of the first name Rhiannon	r=0.91	20yrs	371
US milk fat used to produce cottage cheese	r=0.9	19yrs	370
Popularity of the first name Jamesha	r=0.93	15yrs	369
Popularity of the first name Myesha	r=0.91	16yrs	367
Motor vehicle thefts in New York	r=0.88	20yrs	346
Disney movies released	r=0.87	20yrs	344
Motor vehicle thefts	r=0.87	20yrs	344
Kerosene used in El Salvador	r=0.91	19yrs	340
Popularity of the first name Katlin	r=0.92	13yrs	336
US milk fat used to produce fluid beverage milk	r=0.86	19yrs	334
How provocative 3Blue1Brown YouTube video titles are	r=0.93	8yrs	320
Popularity of the first name India	r=0.9	20yrs	300
Electricity generation in Jamaica	r=0.89	19yrs	300
Popularity of the first name Raekwon	r=0.89	20yrs	288
Kerosene used in Syria	r=0.9	19yrs	288
Air pollution in Kingston, New York	r=0.88	10yrs	281
Popularity of the first name Lynsey	r=0.9	19yrs	278
Kerosene used in Taiwan	r=0.89	19yrs	277
Popularity of the first name Trista	r=0.89	19yrs	267
Jet fuel used in U.S. Virgin Islands	r=0.89	19yrs	267
Kerosene used in Vietnam	r=0.89	19yrs	257
Popularity of the first name Meghan	r=0.88	20yrs	256
Popularity of the first name Jalen	r=0.88	20yrs	246
Kerosene used in Egypt	r=0.88	19yrs	246
Popularity of the first name Tariq	r=0.88	20yrs	236
Kerosene used in Seychelles	r=0.88	19yrs	236
Popularity of the first name Kiara	r=0.87	20yrs	225
Kerosene used in Hong Kong	r=0.87	19yrs	224
Popularity of the first name Cade	r=0.87	20yrs	215
Gasoline pumped in Luxembourg	r=0.86	20yrs	214
Popularity of the first name Tyesha	r=0.89	17yrs	205
Jet fuel used in Albania	r=0.86	19yrs	202
Google searches for 'how to immigrate to norway'	r=0.82	19yrs	199
Popularity of the first name Chandra	r=0.89	17yrs	195
Carjackings in the US	r=0.78	19yrs	194
Kerosene used in Dominica	r=0.86	19yrs	192
US household spending on beef	r=0.81	20yrs	192
US household spending on floor coverings	r=0.81	20yrs	192
Number of public school students in 9th grade	r=0.78	20yrs	191
US household spending on new cars	r=0.8	20yrs	191
Annual US household spending on floor coverings	r=0.79	20yrs	190
Google searches for 'black holes'	r=0.78	19yrs	188
Physical album shipment volume in the United States	r=0.77	20yrs	186
Popularity of the first name Moesha	r=0.92	12yrs	184
US average milk-fat content of frozen dairy products	r=0.78	19yrs	184
Petroluem consumption in Uzbekistan	r=0.86	19yrs	182
Popularity of the first name Arnold	r=0.86	20yrs	174
GMO use in corn	r=-0.87	20yrs	174
Hollister retail store count worldwide	r=-0.91	20yrs	172
GMO use in soybeans	r=-0.85	20yrs	172
GMO use in soybeans	r=-0.85	20yrs	172
Petroluem consumption in Antarctica	r=0.85	19yrs	171
Customer satisfaction with Nordstrom	r=-0.9	18yrs	170
Total number of live births in Australia	r=-0.88	20yrs	169
Google searches for 'cia hotline'	r=0.76	19yrs	168
Air pollution in Albany, New York	r=0.76	20yrs	168
Organic Food Sales Volume in the United States	r=-0.98	10yrs	166
Customer satisfaction with Kroger	r=-0.86	18yrs	166
Car crashes in the US	r=0.83	12yrs	164
Cristiano Ronaldo's domestic league goal tally	r=-0.84	19yrs	164
Popularity of the first name Dajah	r=0.87	18yrs	163
Value of the Victoria's Secret Annual Fantasy Bra	r=0.76	17yrs	162
U.S. intercountry adoptions	r=0.75	19yrs	162
Total annual sales of Ford Motors in the United States	r=0.77	19yrs	162
US Hospital Occupancy Rate	r=0.76	17yrs	162
AIG's stock price (AIG)	r=0.74	20yrs	162
Kerosene used in Indonesia	r=0.85	19yrs	161
Viewership count for Days of Our Lives	r=0.71	19yrs	161
Citigroup's stock price (C)	r=0.73	20yrs	160
Air pollution in Buffalo	r=0.69	20yrs	160
US household spending on transportation	r=0.72	20yrs	159
The number of movies Ian Holm appeared in	r=0.82	12yrs	158
US household spending on pork	r=0.7	20yrs	156
US household spending on vehicle purchaes	r=0.7	20yrs	156
Popularity of the first name Raven	r=0.85	20yrs	152
Yogurt consumption	r=-0.91	19yrs	148
Popularity of the first name Meaghan	r=0.86	18yrs	142
Violent crime rates	r=0.71	20yrs	135
Bulk and canned skim evaporated and condensed milk consumption	r=-0.87	19yrs	134
Google searches for 'attacked by a squirrel'	r=0.73	19yrs	134
Google searches for 'E.T. phone home'	r=0.75	19yrs	124
Ice cream consumption	r=0.75	19yrs	120
Google searches for 'learn spanish'	r=0.75	19yrs	114
US production of yogurt, nonfrozen	r=-0.89	19yrs	109
US Employment Rate	r=0.72	20yrs	109
Google searches for 'climate change'	r=0.78	15yrs	104
Cottage cheese consumption	r=0.74	19yrs	98
Google searches for 'how to immigrate to switzerland'	r=0.7	19yrs	91
US production of evaporated and condensed milk	r=-0.88	19yrs	88
US production of cottage cheese	r=0.77	19yrs	76
Portion of all US dairy skim-solids allocated to the production of sour cream	r=-0.88	19yrs	65
US dairy skim solids used to produce cottage cheese	r=0.76	19yrs	52
Liquefied petroleum gas used in Denmark	r=0.85	20yrs	47
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.77	19yrs	42
Gasoline pumped in Spain	r=0.85	20yrs	37
Portion of all US dairy skim-solids allocated to the production of yogurt, nonfrozen	r=-0.84	19yrs	31
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.73	19yrs	16

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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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