Top variables that correlate with The number of postal service clerks in Virgin Islands

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Data source: Bureau of Larbor Statistics
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The number of postal service clerks in Virgin Islands correlates with...

Variable	Correlation	Years	Sys. Score
Google searches for 'learn spanish'	r=0.95	19yrs	409
Physical album shipment volume in the United States	r=0.95	19yrs	408
Popularity of the first name Rachel	r=0.96	19yrs	408
Popularity of the first name Megan	r=0.96	19yrs	408
Popularity of the first name Jennifer	r=0.96	19yrs	408
Cottage cheese consumption	r=0.92	18yrs	380
Arson in United States	r=0.92	19yrs	380
Popularity of the first name Jasmine	r=0.96	19yrs	378
Ice cream consumption	r=0.91	18yrs	378
Google searches for 'black holes'	r=0.94	19yrs	378
Remaining Forest Cover in the Brazilian Amazon	r=0.9	19yrs	376
Kerosene used in Macau	r=0.94	18yrs	374
Kerosene used in Norway	r=0.94	19yrs	374
U.S. intercountry adoptions	r=0.93	18yrs	374
GMO use in cotton	r=0.91	19yrs	374
Liquefied petroleum gas used in Greenland	r=0.94	18yrs	374
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.94	18yrs	372
Google searches for 'Panama Canal'	r=0.9	19yrs	372
Popularity of the first name Jared	r=0.96	19yrs	368
Popularity of the first name Mitchell	r=0.96	19yrs	358
Popularity of the first name Lindsey	r=0.96	19yrs	348
Google searches for 'report UFO sighting'	r=0.89	19yrs	346
US birth rates of triplets or more	r=0.89	18yrs	345
Popularity of the 'all your base' meme	r=0.89	17yrs	344
Gasoline pumped in Italy	r=0.93	19yrs	343
Motor vehicle thefts	r=0.87	19yrs	343
Google searches for 'oprah winfrey'	r=0.9	19yrs	342
US production of cottage cheese	r=0.91	18yrs	340
The distance between Neptune and the Sun	r=0.89	19yrs	340
The distance between Neptune and Earth	r=0.89	19yrs	340
The distance between Neptune and the moon	r=0.89	19yrs	340
US household spending on books	r=0.89	19yrs	338
Popularity of the first name Kaitlin	r=0.96	19yrs	338
Number of Portugal matches played by Cristiano Ronaldo	r=0.88	19yrs	337
US household spending on postage and stationery	r=0.88	19yrs	337
Viewership count for Days of Our Lives	r=0.85	18yrs	336
Citigroup's stock price (C)	r=0.86	19yrs	334
US household spending on floor coverings	r=0.86	19yrs	334
US household spending on prescription drugs	r=0.86	19yrs	334
Kerosene used globally	r=0.93	18yrs	332
US dairy skim solids used to produce cottage cheese	r=0.91	18yrs	329
Popularity of the first name Veronica	r=0.96	19yrs	328
Gasoline pumped in Denmark	r=0.92	19yrs	322
US average milk-fat content of frozen dairy products	r=0.92	18yrs	319
Popularity of the first name Desiree	r=0.96	19yrs	318
Divorce rates in the United Kingdom	r=0.91	9yrs	313
Kerosene used in Indonesia	r=0.93	18yrs	312
Intercountry adoptions	r=0.91	10yrs	310
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.91	18yrs	308
The distance between Neptune and Mercury	r=0.88	19yrs	308
Popularity of the first name Kristin	r=0.96	19yrs	308
Kerosene used in Japan	r=0.92	19yrs	302
Google searches for 'panama canal'	r=0.9	19yrs	302
Popularity of the first name Diamond	r=0.96	19yrs	298
Liquefied petroleum gas used in Lithuania	r=0.92	19yrs	292
Google searches for 'snoop dog'	r=0.9	19yrs	292
The number of movies Ian Holm appeared in	r=0.9	11yrs	290
Popularity of the first name Kirsten	r=0.96	19yrs	288
Gasoline pumped in Norway	r=0.92	19yrs	282
Popularity of the first name Yesenia	r=0.96	19yrs	278
Google searches for 'matt parker'	r=0.86	19yrs	276
Gasoline pumped in Portugal	r=0.92	19yrs	272
US milk fat used to produce fluid beverage milk	r=0.89	18yrs	268
Popularity of the first name Meagan	r=0.96	19yrs	268
Kerosene used in Thailand	r=0.93	18yrs	262
Popularity of the first name Britney	r=0.96	19yrs	258
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.88	18yrs	253
Kerosene used in Malawi	r=0.92	18yrs	250
Popularity of the first name Jaquan	r=0.96	19yrs	248
Petroluem consumption in Puerto Rico	r=0.92	18yrs	240
US average milk-fat content of cottage cheese	r=0.86	18yrs	240
Popularity of the first name Kirstin	r=0.96	19yrs	238
Violent crime rates	r=0.84	19yrs	234
Google searches for 'desktop background'	r=0.86	16yrs	232
Kerosene used in Taiwan	r=0.92	18yrs	230
Viewership count of American Idol Season Finale	r=0.83	19yrs	229
HSBC Holdings' stock price (HSBC)	r=0.85	19yrs	228
AIG's stock price (AIG)	r=0.85	19yrs	228
US household spending on natural gas	r=0.85	19yrs	228
Popularity of the first name Rebeca	r=0.96	19yrs	228
Automotive recalls for issues with Vehicle Speed Control	r=0.84	19yrs	226
US household spending on clothin for women	r=0.84	19yrs	226
Kerosene used in Tunisia	r=0.92	18yrs	220
Popularity of the first name Mariela	r=0.96	19yrs	218
Petroluem consumption in U.S. Virgin Islands	r=0.92	18yrs	210
Carjackings in the US	r=0.82	18yrs	200
Kerosene used in Hong Kong	r=0.91	18yrs	199
NASA's budget as a percentage of the total US Federal Budget	r=0.8	19yrs	196
National Lacrosse Champions' Final Point	r=0.83	19yrs	194
United States music album sales	r=0.84	16yrs	193
US household spending on clothing	r=0.82	19yrs	193
Cigarette Smoking Rate for US adults	r=0.82	18yrs	192
GMO use in cotton	r=0.79	19yrs	192
Kerosene used in Nepal	r=0.91	18yrs	189
Kerosene used in Vietnam	r=0.91	18yrs	179
Lloyds Banking Group's stock price (LYG)	r=0.82	19yrs	163
Robberies in the US	r=0.81	19yrs	159
Google searches for 'E.T. phone home'	r=0.84	19yrs	148
Milk consumption	r=0.84	18yrs	104
Google searches for 'shook'	r=0.82	19yrs	104
Sherbet consumption	r=0.84	18yrs	92

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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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