Top variables that correlate with The number of travel agents in Alaska

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Data source: Bureau of Larbor Statistics
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The number of travel agents in Alaska correlates with...

Variable	Correlation	Years	Sys. Score
Petroluem consumption in Portugal	r=0.93	20yrs	374
Popularity of the first name Nakia	r=0.92	20yrs	372
Popularity of the first name Tiffanie	r=0.92	20yrs	372
Gasoline pumped in Luxembourg	r=0.92	20yrs	372
Petroluem consumption in Spain	r=0.92	20yrs	372
Popularity of the first name Diana	r=0.91	20yrs	371
Cottage cheese consumption	r=0.89	19yrs	346
US birth rates of triplets or more	r=0.87	19yrs	343
Google searches for 'report UFO sighting'	r=0.86	19yrs	342
Popularity of the first name Trevon	r=0.91	20yrs	341
Gasoline pumped in Austria	r=0.91	20yrs	341
NASA's budget as a percentage of the total US Federal Budget	r=0.86	20yrs	341
U.S. intercountry adoptions	r=0.89	19yrs	338
US production of cottage cheese	r=0.89	19yrs	338
Google searches for 'learn spanish'	r=0.88	19yrs	338
US dairy skim solids used to produce cottage cheese	r=0.89	19yrs	337
Physical album shipment volume in the United States	r=0.87	20yrs	336
Google searches for 'black holes'	r=0.86	19yrs	336
US household spending on floor coverings	r=0.86	20yrs	335
UK Public Library Count	r=0.91	12yrs	332
Popularity of the first name Anita	r=0.91	20yrs	331
Gasoline pumped in Denmark	r=0.91	20yrs	331
Popularity of the first name Alysha	r=0.91	20yrs	321
Petroluem consumption in Italy	r=0.91	20yrs	321
Global iPod Sales	r=0.94	9yrs	318
Popularity of the first name Annette	r=0.91	20yrs	311
Gasoline pumped in Portugal	r=0.91	20yrs	311
US average milk-fat content of cottage cheese	r=0.9	19yrs	307
Popularity of the first name Dan	r=0.91	20yrs	301
Gasoline pumped in Spain	r=0.91	20yrs	301
US milk fat used to produce fluid beverage milk	r=0.87	19yrs	296
Popularity of the first name Veronica	r=0.9	20yrs	290
Gasoline pumped in Czechia	r=0.9	20yrs	290
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.89	19yrs	286
Divorce rates in the United Kingdom	r=0.89	10yrs	281
Popularity of the first name Nicolas	r=0.9	20yrs	280
Kerosene used in Malawi	r=0.91	19yrs	280
Intercountry adoptions	r=0.9	11yrs	279
Median Weekly Earnings of Self-Employed Workers in the UK	r=0.87	11yrs	274
China's Rare Earth Element Export Volume	r=0.86	11yrs	273
US average milk-fat content of frozen dairy products	r=0.87	19yrs	272
Popularity of the first name Tommy	r=0.9	20yrs	270
Gasoline pumped in United Kingdom	r=0.9	20yrs	270
Total likes of Deep Look YouTube videos	r=0.87	9yrs	266
Popularity of the first name Janet	r=0.9	20yrs	260
Liquefied petroleum gas used in Greenland	r=0.9	19yrs	258
Popularity of the first name Bret	r=0.9	20yrs	250
Kerosene used in Iran	r=0.9	19yrs	248
Popularity of the first name Mariela	r=0.9	20yrs	240
Arson in United States	r=0.83	20yrs	233
Violent crime rates	r=0.82	20yrs	232
Popularity of the first name Lizette	r=0.9	20yrs	230
GMO use in cotton	r=0.84	20yrs	230
The distance between Neptune and Earth	r=0.84	20yrs	228
The distance between Neptune and Mercury	r=0.84	20yrs	228
The distance between Neptune and the moon	r=0.84	20yrs	228
US household spending on clothin for women	r=0.85	20yrs	228
US household spending on clothing	r=0.82	20yrs	224
US household spending on vehicle insurance	r=0.82	20yrs	224
Popularity of the first name Brandan	r=0.9	20yrs	220
Popularity of the first name Viridiana	r=0.9	20yrs	210
Gasoline pumped in Italy	r=0.9	20yrs	210
Motor vehicle thefts	r=0.82	20yrs	202
Fossil fuel use in Slovakia	r=0.88	19yrs	198
Remaining Forest Cover in the Brazilian Amazon	r=0.81	20yrs	198
The distance between Neptune and the Sun	r=0.83	20yrs	197
Google searches for 'snoop dog'	r=0.83	19yrs	196
US household spending on prescription drugs	r=0.81	20yrs	192
AIG's stock price (AIG)	r=0.8	20yrs	191
Annual US household spending on floor coverings	r=0.79	20yrs	190
Petroluem consumption in Denmark	r=0.89	20yrs	188
GMO use in cotton	r=0.76	20yrs	188
Citigroup's stock price (C)	r=0.78	20yrs	188
Lloyds Banking Group's stock price (LYG)	r=0.78	20yrs	188
US household spending on natural gas	r=0.78	20yrs	188
US household spending on postage and stationery	r=0.78	20yrs	188
US household spending on clothing for men	r=0.78	20yrs	188
National Lacrosse Champions' Final Point	r=0.77	20yrs	186
Petroluem consumption in Greece	r=0.89	20yrs	178
Popularity of the first name Brett	r=0.9	20yrs	170
Kerosene used in Indonesia	r=0.9	19yrs	168
Google searches for 'shook'	r=0.82	19yrs	164
Popularity of the first name Lorena	r=0.9	20yrs	160
Fossil fuel use in Czechia	r=0.87	19yrs	157
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.85	19yrs	154
Google searches for 'oprah winfrey'	r=0.81	19yrs	153
Popularity of the first name Katelin	r=0.9	20yrs	150
Nuclear power generation in Germany	r=0.87	19yrs	147
Viewership count of American Idol Season Finale	r=0.81	20yrs	147
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.84	19yrs	143
Viewership count for Days of Our Lives	r=0.79	19yrs	138
Google searches for 'E.T. phone home'	r=0.78	19yrs	138
Cigarette Smoking Rate for US adults	r=0.8	19yrs	130
US Employment Rate	r=0.79	20yrs	125
NCAA Women's Ice Hockey National Championship Winner's Score	r=0.77	20yrs	116
Swiss cheese consumption	r=0.83	19yrs	112
Ice cream consumption	r=0.82	19yrs	100
Milk consumption	r=0.8	19yrs	89
Sherbet consumption	r=0.79	19yrs	76
US milk fat used to produce cottage cheese	r=0.81	19yrs	62
Portion of all US dairy skim-solids allocated to the production of cottage cheese	r=0.82	19yrs	50

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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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