Top variables that correlate with The number of insurance underwriters in New Jersey

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Data source: Bureau of Larbor Statistics
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The number of insurance underwriters in New Jersey correlates with...

Variable	Correlation	Years	Sys. Score
Popularity of the first name Leigh	r=0.88	20yrs	336
Kerosene used in Burkina Faso	r=0.86	19yrs	332
Popularity of the first name Courteney	r=0.93	6yrs	255
Popularity of the first name Micaela	r=0.84	20yrs	226
Popularity of the first name Kala	r=0.84	20yrs	226
US household spending on beef	r=0.82	20yrs	224
Kerosene used in Egypt	r=0.84	19yrs	224
Popularity of the first name Joann	r=0.84	20yrs	196
NASA's budget as a percentage of the total US Federal Budget	r=0.78	20yrs	194
Kerosene used in Hong Kong	r=0.83	19yrs	193
US Hospital Occupancy Rate	r=0.83	17yrs	192
US average dairy skim-solid content of bulk evaporated and condensed milk	r=0.8	19yrs	187
Automotive recalls for issues with Vehicle Speed Control	r=0.76	20yrs	185
Popularity of the first name Alec	r=0.83	20yrs	174
Customer satisfaction with HP	r=-0.9	19yrs	172
Remaining Forest Cover in the Brazilian Amazon	r=0.75	20yrs	170
Carjackings in the US	r=0.73	19yrs	167
Disney movies released	r=0.72	20yrs	166
US milk fat used to produce fluid beverage milk	r=0.77	19yrs	166
The number of movies David Wenham appeared in	r=0.72	20yrs	166
Motor vehicle thefts in New Jersey	r=0.71	20yrs	165
The number of movies Julie Andrews appeared in	r=0.71	20yrs	165
Popularity of the first name Kelli	r=0.83	20yrs	164
Jet fuel used in Uzbekistan	r=0.83	19yrs	163
Viewership count for Days of Our Lives	r=0.72	19yrs	162
Google searches for 'panama canal'	r=0.74	19yrs	162
US household spending on floor coverings	r=0.74	20yrs	162
US household spending on books	r=0.74	20yrs	162
Google searches for 'how to get to antartica'	r=0.73	19yrs	161
Google searches for 'black holes'	r=0.73	19yrs	161
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.75	19yrs	160
Arson in United States	r=0.68	20yrs	160
Physical album shipment volume in the United States	r=0.71	20yrs	158
Career regular season goals scored by Sidney Crosby	r=0.7	20yrs	156
GMO use in cotton	r=0.68	20yrs	156
How trendy MinuteEarth YouTube video titles are	r=0.83	10yrs	156
US household spending on meats, poultry, fish, and eggs	r=0.68	20yrs	153
Popularity of the first name Ashton	r=0.82	20yrs	152
Kerosene used in Philippines	r=0.81	19yrs	150
US birth rates of triplets or more	r=0.69	19yrs	146
Divorce rates in the United Kingdom	r=0.79	10yrs	146
How nerdy 3Blue1Brown YouTube video titles are	r=0.77	8yrs	146
How nerdy CGP Grey YouTube video titles are	r=0.74	12yrs	145
Google searches for 'report UFO sighting'	r=0.68	19yrs	144
Popularity of the first name Duncan	r=0.82	20yrs	142
Kerosene used in Belgium	r=0.79	20yrs	138
Median Weekly Earnings of Self-Employed Workers in the UK	r=0.76	11yrs	138
GMO use in soybeans	r=-0.81	20yrs	138
GMO use in soybeans	r=-0.81	20yrs	138
The distance between Neptune and the Sun	r=0.67	20yrs	138
The distance between Neptune and Earth	r=0.67	20yrs	138
The distance between Neptune and the moon	r=0.67	20yrs	138
Customer satisfaction with Twitter	r=0.74	10yrs	138
U.S. intercountry adoptions	r=0.67	19yrs	136
US household spending on clothing	r=0.66	20yrs	135
Andy Roddick's ATP tournament wins	r=0.74	10yrs	134
Global Per Capita Rice Consumption	r=0.67	17yrs	134
Associate Professor salaries in the US	r=0.65	13yrs	134
Google searches for 'E.T. phone home'	r=0.72	19yrs	130
Kerosene used in Peru	r=0.8	19yrs	128
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.72	19yrs	125
Kerosene used in South Korea	r=0.79	20yrs	118
Google searches for 'Panama Canal'	r=0.71	19yrs	118
Arson in New Jersey	r=0.68	20yrs	116
US average milk-fat content of frozen dairy products	r=0.71	19yrs	114
The number of movies John Rhys-Davies appeared in	r=0.65	20yrs	111
Total likes of LEMMiNO YouTube videos	r=0.71	11yrs	110
Gasoline pumped in Romania	r=0.79	19yrs	107
Motor vehicle thefts	r=0.67	20yrs	104
Popularity of the first name Tre	r=0.82	20yrs	102
How professional-sounding MinuteEarth YouTube video titles are	r=0.72	10yrs	100
Kerosene used in Taiwan	r=0.79	19yrs	97
Ice cream consumption	r=0.69	19yrs	96
Popularity of the first name Sydni	r=0.82	20yrs	92
Violent crime rates	r=0.66	20yrs	92
How fun Deep Look YouTube video titles are	r=0.72	9yrs	89
Google searches for 'learn spanish'	r=0.68	19yrs	88
Kerosene used in Thailand	r=0.79	19yrs	87
Popularity of the first name Cherokee	r=0.82	20yrs	82
Cottage cheese consumption	r=0.65	19yrs	80
Google searches for 'cia hotline'	r=0.65	19yrs	77
Kerosene used in Portugal	r=0.78	20yrs	76
Popularity of the first name Dale	r=0.81	20yrs	71
Yogurt consumption	r=-0.8	19yrs	68
Gasoline pumped in Portugal	r=0.77	20yrs	65
US milk fat used to produce cottage cheese	r=0.67	19yrs	56
Popularity of the first name Kurt	r=0.81	20yrs	51
Portion of all US dairy skim-solids allocated to the production of cottage cheese	r=0.68	19yrs	44
Popularity of the first name Anissa	r=0.81	20yrs	41
Kerosene used in Brazil	r=0.77	19yrs	34
Popularity of the first name Daija	r=0.81	20yrs	31
Petroluem consumption in Cook Islands	r=-0.84	19yrs	22
Popularity of the first name Irma	r=0.81	20yrs	21
Jet fuel used in Cook Islands	r=-0.83	19yrs	12
Popularity of the first name Nautica	r=0.81	20yrs	11
Kerosene used in Norway	r=0.75	20yrs	2
Popularity of the first name Shaye	r=0.81	20yrs	1
Kerosene used in Sierra Leone	r=0.76	19yrs	-8
Liquefied petroleum gas used in Libya	r=0.75	19yrs	-19
Kerosene used in Nepal	r=0.75	19yrs	-29

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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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