Top variables that correlate with The number of file clerks in New Jersey

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Data source: Bureau of Larbor Statistics
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The number of file clerks in New Jersey correlates with...

Variable	Correlation	Years	Sys. Score
Fossil fuel use in Slovakia	r=0.96	19yrs	410
Popularity of the first name Iesha	r=0.95	19yrs	406
Google searches for 'report UFO sighting'	r=0.91	19yrs	379
The distance between Neptune and Mercury	r=0.93	20yrs	377
Popularity of the first name Jena	r=0.93	20yrs	374
Popularity of the first name Mikala	r=0.94	19yrs	374
Liquefied petroleum gas used in Iran	r=0.94	19yrs	374
Kerosene used in Vietnam	r=0.93	19yrs	373
Physical album shipment volume in the United States	r=0.91	20yrs	372
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.9	19yrs	367
Remaining Forest Cover in the Brazilian Amazon	r=0.89	20yrs	346
Motor vehicle thefts in New Jersey	r=0.88	20yrs	346
Popularity of the first name Melisa	r=0.93	20yrs	344
US birth rates of triplets or more	r=0.88	19yrs	344
Cottage cheese consumption	r=0.88	19yrs	344
Liquefied petroleum gas used in Greenland	r=0.92	19yrs	342
Arson in New Jersey	r=0.85	20yrs	341
Divorce rates in the United Kingdom	r=0.95	10yrs	340
GMO use in cotton	r=0.87	20yrs	340
Google searches for 'oprah winfrey'	r=0.89	19yrs	340
The distance between Neptune and the Sun	r=0.88	20yrs	340
The distance between Neptune and Earth	r=0.88	20yrs	340
U.S. intercountry adoptions	r=0.89	19yrs	338
Google searches for 'learn spanish'	r=0.88	19yrs	338
US production of cottage cheese	r=0.87	19yrs	336
Google searches for 'shook'	r=0.86	19yrs	336
US household spending on clothin for women	r=0.87	20yrs	336
US household spending on books	r=0.86	20yrs	335
Popularity of the first name Lisette	r=0.93	20yrs	334
Kerosene used in Japan	r=0.91	20yrs	331
Popularity of the first name Tiera	r=0.94	19yrs	324
Gasoline pumped in Norway	r=0.91	20yrs	321
Popularity of the first name Trista	r=0.93	19yrs	313
Jet fuel used in Albania	r=0.91	19yrs	310
The distance between Neptune and the moon	r=0.88	20yrs	310
US milk fat used to produce fluid beverage milk	r=0.87	19yrs	306
Google searches for 'matt parker'	r=0.86	19yrs	306
Popularity of the first name Veronica	r=0.92	20yrs	302
Kerosene used in Cabo Verde	r=0.91	19yrs	300
US average milk-fat content of frozen dairy products	r=0.89	19yrs	296
Google searches for 'black holes'	r=0.86	19yrs	296
Popularity of the first name Abby	r=0.92	20yrs	292
Kerosene used in Hong Kong	r=0.91	19yrs	290
Popularity of the first name Clarissa	r=0.92	20yrs	282
US dairy skim solids used to produce cottage cheese	r=0.86	19yrs	282
Kerosene used in Malawi	r=0.91	19yrs	280
Popularity of the first name Tia	r=0.92	20yrs	272
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.86	19yrs	271
Kerosene used in Norway	r=0.9	20yrs	270
How insightful Casually Explained YouTube video titles are	r=0.89	8yrs	268
How 'hip and with it' Casually Explained YouTube video titles are	r=0.87	8yrs	266
How professional-sounding Casually Explained YouTube video titles are	r=0.87	8yrs	266
Popularity of the first name Colleen	r=0.92	20yrs	262
US average milk-fat content of cottage cheese	r=0.86	19yrs	261
Kerosene used globally	r=0.9	19yrs	258
Popularity of the first name Garret	r=0.92	20yrs	252
Kerosene used in Macau	r=0.9	19yrs	248
Popularity of the first name Maranda	r=0.92	19yrs	242
Kerosene used in Nepal	r=0.9	19yrs	238
How fun Casually Explained YouTube video titles are	r=0.86	8yrs	234
Arson in United States	r=0.83	20yrs	233
Popularity of the first name Alysha	r=0.92	20yrs	232
Petroluem consumption in Puerto Rico	r=0.9	19yrs	228
US household spending on floor coverings	r=0.85	20yrs	228
US household spending on clothing	r=0.85	20yrs	228
US household spending on prescription drugs	r=0.84	20yrs	227
US household spending on postage and stationery	r=0.83	20yrs	226
How trendy Casually Explained YouTube video titles are	r=0.86	8yrs	224
Popularity of the first name Lizette	r=0.92	20yrs	222
Kerosene used in Tunisia	r=0.9	19yrs	218
Popularity of the first name Katlynn	r=0.93	18yrs	212
How good Casually Explained YouTube video titles are	r=0.85	8yrs	212
Popularity of the first name Dajah	r=0.93	18yrs	202
Viewership count for Days of Our Lives	r=0.82	19yrs	198
Viewership count of American Idol Season Finale	r=0.81	20yrs	197
NASA's budget as a percentage of the total US Federal Budget	r=0.79	20yrs	196
Automotive recalls for issues with Vehicle Speed Control	r=0.82	20yrs	194
US household spending on clothing for men	r=0.82	20yrs	194
Popularity of the first name Traci	r=0.92	20yrs	192
Air pollution in Vineland, New Jersey	r=0.77	20yrs	190
GMO use in cotton	r=0.76	20yrs	188
US household spending on processed fruits	r=0.77	20yrs	186
Popularity of the first name Nicholas	r=0.91	20yrs	181
Gasoline pumped in Italy	r=0.9	20yrs	180
Gasoline pumped in Portugal	r=0.9	20yrs	170
Motor vehicle thefts	r=0.79	20yrs	167
Gasoline pumped in Austria	r=0.89	20yrs	158
Violent crime rates	r=0.79	20yrs	157
Ice cream consumption	r=0.84	19yrs	154
Gasoline pumped in Denmark	r=0.89	20yrs	148
Google searches for 'E.T. phone home'	r=0.83	19yrs	146
Robberies in the US	r=0.76	20yrs	142
US milk fat used to produce cottage cheese	r=0.84	19yrs	136
Google searches for 'snoop dog'	r=0.82	19yrs	134
Google searches for 'panama canal'	r=0.81	19yrs	123
Google searches for 'cia hotline'	r=0.78	19yrs	112
Google searches for 'Panama Canal'	r=0.8	19yrs	102
Milk consumption	r=0.78	19yrs	96
Sherbet consumption	r=0.78	19yrs	84
Swiss cheese consumption	r=0.78	19yrs	74
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.83	19yrs	62

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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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