Top variables that correlate with The number of counter and rental clerks in New Jersey

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

Variable	Correlation	Years	Sys. Score
Popularity of the first name Tammy	r=0.97	20yrs	410
Popularity of the first name Darrion	r=0.96	20yrs	408
Popularity of the first name Sara	r=0.95	20yrs	407
Intercountry adoptions	r=0.96	11yrs	398
Arson in New Jersey	r=0.93	20yrs	383
Arson in United States	r=0.92	20yrs	382
Violent crime rates	r=0.92	20yrs	382
Ice cream consumption	r=0.92	19yrs	380
Cottage cheese consumption	r=0.91	19yrs	379
NASA's budget as a percentage of the total US Federal Budget	r=0.91	20yrs	378
Popularity of the first name Theresa	r=0.95	20yrs	377
Remaining Forest Cover in the Brazilian Amazon	r=0.9	20yrs	377
Kerosene used in Greece	r=0.95	20yrs	377
Petroluem consumption in Portugal	r=0.95	20yrs	377
GMO use in cotton	r=0.91	20yrs	376
Google searches for 'learn spanish'	r=0.93	19yrs	376
Gasoline pumped in Denmark	r=0.94	20yrs	376
Physical album shipment volume in the United States	r=0.92	20yrs	374
U.S. intercountry adoptions	r=0.93	19yrs	374
US milk fat used to produce fluid beverage milk	r=0.92	19yrs	373
Google searches for 'black holes'	r=0.9	19yrs	372
US household spending on floor coverings	r=0.9	20yrs	371
Popularity of the first name Tasia	r=0.95	20yrs	367
Gasoline pumped in Portugal	r=0.94	20yrs	346
US birth rates of triplets or more	r=0.89	19yrs	346
US production of cottage cheese	r=0.91	19yrs	342
Total value of all $1 bills printed	r=0.88	20yrs	342
The distance between Neptune and the Sun	r=0.89	20yrs	341
The distance between Neptune and Earth	r=0.89	20yrs	341
The distance between Neptune and the moon	r=0.89	20yrs	341
Google searches for 'shook'	r=0.89	19yrs	340
US household spending on postage and stationery	r=0.89	20yrs	340
Gasoline pumped in United Kingdom	r=0.94	20yrs	336
AIG's stock price (AIG)	r=0.87	20yrs	336
US household spending on clothing	r=0.86	20yrs	335
Lloyds Banking Group's stock price (LYG)	r=0.85	20yrs	334
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.93	19yrs	332
Popularity of the first name Sarah	r=0.95	20yrs	327
Gasoline pumped in Austria	r=0.93	20yrs	324
US average milk-fat content of frozen dairy products	r=0.93	19yrs	322
Popularity of the first name Maria	r=0.95	20yrs	317
Motor vehicle thefts in New Jersey	r=0.89	20yrs	317
Kerosene used in Indonesia	r=0.94	19yrs	314
US dairy skim solids used to produce cottage cheese	r=0.91	19yrs	310
China's Rare Earth Element Export Volume	r=0.91	11yrs	310
Google searches for 'panama canal'	r=0.88	19yrs	308
Popularity of the first name Michelle	r=0.95	20yrs	307
Robberies in the US	r=0.88	20yrs	306
Fossil fuel use in Macau	r=0.91	19yrs	303
Global Per Capita Rice Consumption	r=0.85	17yrs	300
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.91	19yrs	298
Popularity of the first name Ana	r=0.95	20yrs	297
Google searches for 'Panama Canal'	r=0.87	19yrs	297
Motor vehicle thefts	r=0.87	20yrs	294
Kerosene used in Tunisia	r=0.93	19yrs	293
US average milk-fat content of cottage cheese	r=0.91	19yrs	288
Popularity of the first name Craig	r=0.95	20yrs	287
Google searches for 'snoop dog'	r=0.86	19yrs	286
Kerosene used globally	r=0.92	19yrs	282
Popularity of the first name Cristina	r=0.95	20yrs	277
Jet fuel used in Barbados	r=0.92	19yrs	272
Popularity of the first name Mayra	r=0.95	20yrs	267
Petroluem consumption in Denmark	r=0.92	20yrs	262
Popularity of the first name Tania	r=0.95	20yrs	257
Petroluem consumption in Italy	r=0.92	20yrs	252
Sherbet consumption	r=0.85	19yrs	250
Popularity of the first name Margarita	r=0.95	20yrs	247
Kerosene used in Malawi	r=0.92	19yrs	242
Popularity of the first name Kristi	r=0.95	20yrs	237
Carjackings in the US	r=0.85	19yrs	235
Gasoline pumped in Norway	r=0.92	20yrs	232
Viewership count for Days of Our Lives	r=0.85	19yrs	232
Portion of all US dairy skim-solids allocated to the production of cottage cheese	r=0.86	19yrs	231
Popularity of the first name Milton	r=0.95	20yrs	227
US household spending on clothing for men	r=0.84	20yrs	227
US household spending on books	r=0.84	20yrs	227
Citigroup's stock price (C)	r=0.83	20yrs	226
US household spending on clothin for women	r=0.83	20yrs	226
Median Weekly Earnings of Self-Employed Workers in the UK	r=0.88	11yrs	226
US Employment Rate	r=0.82	20yrs	224
US household spending on mortgage interest and charges	r=0.82	20yrs	224
Gasoline pumped in Czechia	r=0.91	20yrs	221
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.86	19yrs	221
Popularity of the first name Heriberto	r=0.95	20yrs	217
UK Public Library Count	r=0.85	12yrs	217
Petroluem consumption in Greece	r=0.91	20yrs	211
Popularity of the first name Irving	r=0.95	20yrs	207
Gasoline pumped in Italy	r=0.91	20yrs	201
Google searches for 'report UFO sighting'	r=0.81	19yrs	199
Popularity of the 'all your base' meme	r=0.82	17yrs	198
Popularity of the first name Jamia	r=0.95	20yrs	197
Air pollution in Vineland, New Jersey	r=0.82	20yrs	197
xkcd comics published about pop culture	r=0.82	16yrs	196
Kerosene used in Japan	r=0.91	20yrs	191
Popularity of the first name Nicholas	r=0.94	20yrs	186
Geothermal power generated in Austria	r=0.91	16yrs	180
The distance between Neptune and Mercury	r=0.8	20yrs	162
Viewership count of American Idol Season Finale	r=0.81	20yrs	137
Google searches for 'oprah winfrey'	r=0.82	19yrs	134
Cigarette Smoking Rate for US adults	r=0.82	19yrs	128
Milk consumption	r=0.84	19yrs	115

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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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