Top variables that correlate with Popularity of the first name Rebeca

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

Variable	Correlation	Years	Sys. Score
Google searches for 'learn spanish'	r=0.96	19yrs	410
The number of typists in Florida	r=0.97	20yrs	392
The number of file clerks in Georgia	r=0.97	20yrs	392
The number of file clerks in Michigan	r=0.97	20yrs	392
Google searches for 'black holes'	r=0.95	19yrs	379
Google searches for 'panama canal'	r=0.91	19yrs	373
The number of CEOs in Ohio	r=0.96	20yrs	362
Gasoline pumped in Luxembourg	r=0.89	43yrs	361
Gasoline pumped in Portugal	r=0.89	43yrs	361
Gasoline pumped in Denmark	r=0.85	43yrs	355
The number of prepress technicians and workers in Wisconsin	r=0.97	20yrs	352
US birth rates of triplets or more	r=0.89	20yrs	347
Google searches for 'report UFO sighting'	r=0.89	19yrs	346
U.S. intercountry adoptions	r=0.9	23yrs	344
Google searches for 'Panama Canal'	r=0.91	19yrs	343
The number of professional painters in Puerto Rico	r=0.97	20yrs	342
US production of cottage cheese	r=0.89	22yrs	342
Popularity of the 'all your base' meme	r=0.88	17yrs	342
Viewership count of American Idol Season Finale	r=0.86	21yrs	340
Physical album shipment volume in the United States	r=0.87	24yrs	340
The marriage rate in Idaho	r=0.87	23yrs	340
Robberies in North Carolina	r=0.86	38yrs	340
US dairy skim solids used to produce cottage cheese	r=0.88	22yrs	338
GMO use in corn grown in Texas	r=0.92	18yrs	338
US milk fat used to produce fluid beverage milk	r=0.86	22yrs	337
GMO use in cotton in Alabama	r=0.93	18yrs	336
The marriage rate in Wyoming	r=0.85	23yrs	336
United States music album sales	r=0.88	16yrs	334
Google searches for 'snoop dog'	r=0.91	19yrs	333
The number of advertising and promotions managers in District of Columbia	r=0.96	20yrs	330
GMO use in cotton	r=0.86	23yrs	321
US household spending on floor coverings	r=0.88	23yrs	321
The number of prepress technicians and workers in Illinois	r=0.96	20yrs	320
Nuclear power generation in Germany	r=0.88	31yrs	320
US household spending on postage and stationery	r=0.87	23yrs	320
The number of pipelayers in Indiana	r=0.96	20yrs	310
Ice cream consumption	r=0.87	32yrs	306
xkcd comics published about childhood	r=0.85	16yrs	306
The number of typists in Iowa	r=0.96	20yrs	300
The number of floral designers in Kentucky	r=0.96	20yrs	290
Google searches for 'oprah winfrey'	r=0.88	19yrs	288
The number of postal service machine operators in Maryland	r=0.96	20yrs	280
GMO use in corn grown in Iowa	r=0.9	23yrs	280
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.89	22yrs	278
Google searches for 'shook'	r=0.86	19yrs	276
The number of prepress technicians and workers in North Carolina	r=0.96	20yrs	270
GMO use in corn grown in Minnesota	r=0.9	23yrs	270
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.88	22yrs	267
Google searches for 'desktop background'	r=0.88	16yrs	266
The number of typists in Ohio	r=0.96	20yrs	260
GMO use in corn grown in Nebraska	r=0.89	23yrs	258
US average milk-fat content of frozen dairy products	r=0.88	22yrs	257
The number of brickmasons in Ohio	r=0.96	20yrs	250
GMO use in corn	r=0.88	23yrs	247
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.86	22yrs	244
The number of typists in Texas	r=0.96	20yrs	240
Ticket sales for Baltimore Orioles games	r=0.73	45yrs	237
US average milk-fat content of cottage cheese	r=0.86	22yrs	234
GMO use in corn grown in South Dakota	r=0.86	23yrs	234
Motor vehicle thefts in North Carolina	r=0.84	38yrs	232
The number of data entry keyers in Washington	r=0.96	20yrs	230
The marriage rate in Nevada	r=0.84	23yrs	230
Robberies in South Carolina	r=0.82	38yrs	230
US Employment Rate	r=0.74	33yrs	225
GMO use in cotton in Texas	r=0.88	23yrs	224
The number of telephone operators in Texas	r=0.96	19yrs	219
GMO use in cotton in Tennessee	r=0.89	18yrs	210
The number of compensation and benefits managers in Indiana	r=0.96	19yrs	209
Kerosene used in Malawi	r=0.83	42yrs	206
The divorce rate in Alabama	r=0.83	23yrs	200
The number of postal service clerks in Virgin Islands	r=0.96	19yrs	199
Motor vehicle thefts in Nevada	r=0.81	38yrs	198
Fossil fuel use in Macau	r=0.8	42yrs	194
The divorce rate in Kentucky	r=0.83	23yrs	190
Nuclear power generation in United Kingdom	r=0.79	42yrs	183
The marriage rate in Alabama	r=0.83	23yrs	178
Kerosene used in Bangladesh	r=0.8	42yrs	172
The marriage rate in Arkansas	r=0.83	23yrs	168
Gasoline pumped in Finland	r=0.8	43yrs	162
The divorce rate in North Carolina	r=0.82	23yrs	158
Petroluem consumption in Portugal	r=0.8	43yrs	152
Google searches for 'E.T. phone home'	r=0.84	19yrs	148
The divorce rate in Wyoming	r=0.82	23yrs	148
Gasoline pumped in Spain	r=0.79	43yrs	141
Google searches for 'matt parker'	r=0.84	19yrs	138
The marriage rate in Virginia	r=0.82	23yrs	137
Gasoline pumped in Switzerland	r=0.79	43yrs	131
The divorce rate in Arkansas	r=0.81	23yrs	127
Petroluem consumption in Greece	r=0.78	43yrs	120
The marriage rate in Louisiana	r=0.81	23yrs	116
Kerosene used in India	r=0.79	42yrs	110
The marriage rate in South Dakota	r=0.81	23yrs	106
Fossil fuel use in Slovakia	r=0.84	29yrs	98
The divorce rate in Delaware	r=0.8	23yrs	96
Kerosene used in South Korea	r=0.77	43yrs	88
The divorce rate in Florida	r=0.8	23yrs	86
Electricity generation in U.S. Virgin Islands	r=0.75	42yrs	77
The divorce rate in Mississippi	r=0.8	23yrs	76
Fossil fuel use in U.S. Virgin Islands	r=0.74	42yrs	66
Kerosene used in Nepal	r=0.76	42yrs	56
Liquefied petroleum gas used in Australia	r=0.75	43yrs	45

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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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