Top variables that correlate with Popularity of the first name Jerica

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Data source: US Social Security Administration
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Popularity of the first name Jerica correlates with...

Variable	Correlation	Years	Sys. Score
Physical album shipment volume in the United States	r=0.99	24yrs	418
The divorce rate in Alabama	r=0.98	23yrs	418
The marriage rate in Nevada	r=0.98	23yrs	416
Google searches for 'learn spanish'	r=0.98	19yrs	414
The marriage rate in Idaho	r=0.97	23yrs	414
Popularity of the 'all your base' meme	r=0.96	17yrs	414
US milk fat used to produce fluid beverage milk	r=0.95	22yrs	410
Google searches for 'black holes'	r=0.96	19yrs	410
Liquefied petroleum gas used in Greenland	r=0.96	22yrs	410
Remaining Forest Cover in the Brazilian Amazon	r=0.92	36yrs	396
AIG's stock price (AIG)	r=0.92	21yrs	395
Carjackings in the US	r=0.95	27yrs	393
The number of sewing machine operators in Alabama	r=0.98	20yrs	393
The number of CEOs in Kentucky	r=0.97	20yrs	393
The number of telemarketers in California	r=0.96	20yrs	392
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.96	22yrs	389
US average milk-fat content of frozen dairy products	r=0.96	22yrs	389
The marriage rate in Wyoming	r=0.97	23yrs	384
Motor vehicle thefts in New York	r=0.94	38yrs	382
Motor vehicle thefts in Texas	r=0.94	38yrs	382
Jet fuel used in Ukraine	r=0.91	30yrs	381
Petroluem consumption in Uzbekistan	r=0.91	30yrs	381
US birth rates of triplets or more	r=0.91	20yrs	380
GMO use in corn grown in South Dakota	r=0.96	23yrs	379
Google searches for 'snoop dog'	r=0.95	19yrs	379
xkcd comics published about romance	r=0.91	16yrs	374
The marriage rate in Arkansas	r=0.96	23yrs	373
United States music album sales	r=0.91	16yrs	368
The number of postal service machine operators in California	r=0.97	20yrs	362
Citigroup's stock price (C)	r=0.9	21yrs	362
GMO use in cotton	r=0.92	23yrs	360
Lloyds Banking Group's stock price (LYG)	r=0.89	21yrs	360
Air pollution in Santa Maria, California	r=0.92	42yrs	359
US household spending on clothing	r=0.93	23yrs	358
US household spending on books	r=0.93	23yrs	358
US household spending on clothing for men	r=0.92	23yrs	357
US household spending on clothin for women	r=0.92	23yrs	357
US household spending on floor coverings	r=0.91	23yrs	356
The number of advertising and promotions managers in Idaho	r=0.97	20yrs	352
Motor vehicle thefts in Texas	r=0.94	38yrs	352
Google searches for 'Panama Canal'	r=0.94	19yrs	348
Cottage cheese consumption	r=0.92	32yrs	344
GMO use in cotton in North Carolina	r=0.95	23yrs	344
Google searches for 'report UFO sighting'	r=0.88	19yrs	344
The number of typists in Iowa	r=0.97	20yrs	342
Motor vehicle thefts in Texas	r=0.94	38yrs	342
Geothermal power generated in Austria	r=0.92	17yrs	342
Google searches for 'panama canal'	r=0.93	19yrs	336
The number of postal service machine operators in Massachusetts	r=0.97	20yrs	332
The marriage rate in Tennessee	r=0.95	23yrs	332
Violent crime rates	r=0.87	38yrs	332
Gasoline pumped in Serbia	r=0.91	16yrs	327
Google searches for 'oprah winfrey'	r=0.91	19yrs	323
The number of payroll and timekeeping clerks in Michigan	r=0.97	20yrs	322
The marriage rate in Virginia	r=0.95	23yrs	322
Motor vehicle thefts in New Jersey	r=0.93	38yrs	321
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.95	22yrs	318
The number of telemarketers in New Jersey	r=0.96	20yrs	312
The divorce rate in North Carolina	r=0.94	23yrs	312
Google searches for 'desktop background'	r=0.92	16yrs	312
Motor vehicle thefts in Rhode Island	r=0.93	38yrs	311
The number of postal service machine operators in New York	r=0.97	20yrs	302
The marriage rate in Alabama	r=0.94	23yrs	300
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.9	22yrs	300
Robberies in New York	r=0.91	38yrs	298
Gasoline pumped in Germany	r=0.88	32yrs	298
The number of CEOs in Ohio	r=0.96	20yrs	292
The marriage rate in South Dakota	r=0.94	23yrs	290
US average milk-fat content of cottage cheese	r=0.9	22yrs	290
Petroluem consumption in Ukraine	r=0.89	30yrs	288
The number of prepress technicians and workers in Ohio	r=0.97	20yrs	282
The divorce rate in Tennessee	r=0.93	23yrs	280
Gasoline pumped in Latvia	r=0.87	31yrs	276
Motor vehicle thefts	r=0.89	38yrs	275
The number of compensation and benefits managers in Indiana	r=0.98	19yrs	272
The marriage rate in Ohio	r=0.92	23yrs	267
Petroluem consumption in Azerbaijan	r=0.87	30yrs	265
The number of compensation and benefits managers in Louisiana	r=0.98	19yrs	262
Robberies in the US	r=0.87	38yrs	262
The divorce rate in Kentucky	r=0.91	23yrs	257
The number of compensation and benefits managers in Ohio	r=0.98	19yrs	252
The divorce rate in Wyoming	r=0.91	23yrs	247
The number of compensation and benefits managers in Tennessee	r=0.98	19yrs	242
The marriage rate in Arizona	r=0.91	23yrs	236
Burglaries in Connecticut	r=0.89	38yrs	235
The number of postal service machine operators in Arizona	r=0.96	20yrs	230
The marriage rate in Kentucky	r=0.91	23yrs	226
Burglaries in District of Columbia	r=0.89	38yrs	225
The number of typists in Arizona	r=0.96	20yrs	220
The marriage rate in South Carolina	r=0.91	23yrs	216
Motor vehicle thefts in Maine	r=0.89	38yrs	215
The number of sewing machine operators in Arkansas	r=0.96	20yrs	210
Motor vehicle thefts in Massachusetts	r=0.89	38yrs	205
The marriage rate in Wisconsin	r=0.9	23yrs	204
The number of postal service machine operators in Colorado	r=0.96	20yrs	200
Motor vehicle thefts in New Hampshire	r=0.89	38yrs	195
Arson in Georgia	r=0.88	38yrs	184
Burglaries in Florida	r=0.88	38yrs	174
The divorce rate in Florida	r=0.9	23yrs	166
Burglaries in New York	r=0.88	38yrs	164
The divorce rate in Mississippi	r=0.89	23yrs	154

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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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