Top variables that correlate with The number of librarians in New Mexico

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Data source: Bureau of Larbor Statistics
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The number of librarians in New Mexico correlates with...

Variable	Correlation	Years	Sys. Score
Kerosene used in Burkina Faso	r=0.95	16yrs	403
NASA's budget as a percentage of the total US Federal Budget	r=0.92	16yrs	376
US milk fat used to produce fluid beverage milk	r=0.94	16yrs	373
Popularity of the first name Irma	r=0.94	16yrs	372
Popularity of the first name Malik	r=0.93	16yrs	370
Popularity of the first name Carina	r=0.93	16yrs	370
Gasoline pumped in Portugal	r=0.92	16yrs	368
US household spending on floor coverings	r=0.9	16yrs	367
Gasoline pumped in Austria	r=0.91	16yrs	367
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.9	16yrs	364
Popularity of the first name Tylar	r=0.93	16yrs	340
Kerosene used in Hong Kong	r=0.91	16yrs	337
How trendy 'Be Smart' science YouTube video titles are	r=0.95	6yrs	336
US Hospital Occupancy Rate	r=0.88	16yrs	334
Portion of all US dairy skim-solids allocated to the production of cottage cheese	r=0.88	16yrs	331
Popularity of the first name Jamal	r=0.92	16yrs	328
Gasoline pumped in Montenegro	r=0.93	13yrs	327
Popularity of the first name Shantel	r=0.92	16yrs	318
Global iPod Sales	r=0.94	9yrs	318
Gasoline pumped in Spain	r=0.9	16yrs	316
Violent crime rates	r=0.87	16yrs	310
Popularity of the first name Keshawn	r=0.92	16yrs	308
Disney movies released	r=0.86	16yrs	308
US birth rates of triplets or more	r=0.86	16yrs	308
Remaining Forest Cover in the Brazilian Amazon	r=0.87	16yrs	308
Kerosene used in Taiwan	r=0.9	16yrs	306
Google searches for 'report UFO sighting'	r=0.85	15yrs	306
GMO use in cotton	r=0.86	16yrs	304
Global Per Capita Rice Consumption	r=0.86	16yrs	301
Annual US household spending on floor coverings	r=0.86	16yrs	301
How fun 'Be Smart' science YouTube video titles are	r=0.92	6yrs	301
Google searches for 'black holes'	r=0.85	15yrs	300
Popularity of the first name Janel	r=0.92	16yrs	298
Popularity of the first name Casey	r=0.91	16yrs	287
Popularity of the first name Jamie	r=0.91	16yrs	277
UK Public Library Count	r=0.88	12yrs	277
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.87	16yrs	270
Popularity of the first name Brett	r=0.91	16yrs	267
Geothermal power generated in Japan	r=0.89	16yrs	267
How insightful MinuteEarth YouTube video titles are	r=0.87	6yrs	264
US average milk-fat content of frozen dairy products	r=0.86	16yrs	258
Bachelor's degrees awarded in consumer sciences	r=0.85	7yrs	258
Popularity of the first name Mayra	r=0.91	16yrs	257
Kerosene used in Belgium	r=0.89	16yrs	254
Popularity of the first name Bryant	r=0.91	16yrs	247
Kerosene used in Egypt	r=0.89	16yrs	244
Popularity of the first name Stefanie	r=0.91	16yrs	237
Kerosene used in Malawi	r=0.89	16yrs	234
Average views of Extra History YouTube videos	r=0.87	7yrs	234
Popularity of the first name Shanice	r=0.91	16yrs	227
Petroluem consumption in Portugal	r=0.89	16yrs	224
How good MinuteEarth YouTube video titles are	r=0.85	6yrs	220
Popularity of the first name Jaylon	r=0.91	16yrs	217
Kerosene used in South Korea	r=0.89	16yrs	214
Popularity of the first name Darrion	r=0.91	16yrs	207
Petroluem consumption in Sweden	r=0.89	16yrs	204
Arson in United States	r=0.83	16yrs	199
Motor vehicle thefts	r=0.83	16yrs	199
Popularity of the first name Keyshawn	r=0.91	16yrs	197
Google searches for 'learn spanish'	r=0.84	15yrs	194
The distance between Neptune and Earth	r=0.84	16yrs	194
Physical album shipment volume in the United States	r=0.84	16yrs	193
U.S. intercountry adoptions	r=0.84	16yrs	193
The distance between Neptune and the Sun	r=0.83	16yrs	193
The distance between Neptune and the moon	r=0.83	16yrs	193
US household spending on beef	r=0.84	16yrs	193
US household spending on books	r=0.84	16yrs	193
Gasoline pumped in Czechia	r=0.88	16yrs	192
Number of games won by Miami Marlins in the National League (East Division)	r=0.83	16yrs	192
Popularity of the first name Joann	r=0.91	16yrs	187
Gasoline pumped in Denmark	r=0.88	16yrs	182
Popularity of the first name Destinie	r=0.91	16yrs	177
Carjackings in the US	r=0.8	16yrs	174
Air quality in Santa Fe, New Mexico	r=0.81	16yrs	172
Gasoline pumped in France	r=0.88	16yrs	172
Viewership count for Days of Our Lives	r=0.8	16yrs	172
Yearly Total Gross Income of US Farms	r=-0.93	16yrs	172
Number of public school students in Kindergarten	r=-0.91	16yrs	171
Chunghwa Telecom Co.'s stock price (CHT)	r=-0.94	15yrs	170
US household spending on postage and stationery	r=0.82	16yrs	170
US household spending on clothing	r=0.82	16yrs	170
Google searches for 'shook'	r=0.81	15yrs	169
Kerosene used in Greece	r=0.88	16yrs	162
Gasoline pumped in United Kingdom	r=0.88	16yrs	152
Ice cream consumption	r=0.85	16yrs	152
Robberies in the US	r=0.78	16yrs	132
US average milk-fat content of cottage cheese	r=0.83	16yrs	128
Total Sales at Clothing and Accessories Stores	r=-0.88	16yrs	118
Number of households headed by single fathers in the United States	r=-0.89	16yrs	113
Nuclear power generation in Germany	r=0.86	16yrs	112
Total annual sales revenue of Ford Motors in Canada	r=-0.9	15yrs	108
Yogurt consumption	r=-0.92	16yrs	106
Cottage cheese consumption	r=0.8	16yrs	94
Canned whole evaporated and condensed milk consumption	r=0.79	16yrs	83
Milk consumption	r=0.77	16yrs	72
US production of butter	r=-0.93	16yrs	60
US milk fat used to produce butter	r=-0.93	16yrs	50
US milk fat used to produce cottage cheese	r=0.82	16yrs	40
US production of yogurt, nonfrozen	r=-0.92	16yrs	29
US average dairy skim-solid content of fluid beverage milk	r=-0.95	16yrs	19
Sherbet consumption	r=0.76	16yrs	8

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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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