Top variables that correlate with Popularity of the first name Estefania

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

Variable	Correlation	Years	Sys. Score
The marriage rate in Idaho	r=0.9	23yrs	374
The number of advertising and promotions managers in Idaho	r=0.93	20yrs	356
The number of telemarketers in Illinois	r=0.92	20yrs	356
The number of typists in Iowa	r=0.93	20yrs	356
Petroluem consumption in Portugal	r=0.85	43yrs	355
The divorce rate in Alabama	r=0.9	23yrs	346
Physical album shipment volume in the United States	r=0.9	24yrs	345
The marriage rate in Nevada	r=0.9	23yrs	344
Google searches for 'snoop dog'	r=0.9	19yrs	342
US birth rates of triplets or more	r=0.85	20yrs	341
Google searches for 'learn spanish'	r=0.89	19yrs	340
GMO use in cotton in North Carolina	r=0.91	23yrs	338
Google searches for 'panama canal'	r=0.88	19yrs	338
Liquefied petroleum gas used in Greenland	r=0.87	22yrs	337
US milk fat used to produce fluid beverage milk	r=0.85	22yrs	336
The number of CEOs in Kentucky	r=0.92	20yrs	326
GMO use in cotton	r=0.88	23yrs	324
Arson in Idaho	r=0.85	22yrs	323
US household spending on books	r=0.87	23yrs	320
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.88	22yrs	317
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.88	22yrs	317
The number of telemarketers in New Jersey	r=0.92	20yrs	316
The marriage rate in Virginia	r=0.9	23yrs	314
Google searches for 'Panama Canal'	r=0.88	19yrs	308
The number of data entry keyers in Washington	r=0.93	20yrs	306
GMO use in corn grown in South Dakota	r=0.86	23yrs	304
The marriage rate in Arkansas	r=0.88	23yrs	301
Google searches for 'black holes'	r=0.87	19yrs	297
The number of file clerks in Maryland	r=0.92	20yrs	294
The marriage rate in Wyoming	r=0.87	23yrs	290
US average milk-fat content of frozen dairy products	r=0.88	22yrs	287
Google searches for 'shook'	r=0.85	19yrs	284
The number of sewing machine operators in New Jersey	r=0.92	20yrs	284
The marriage rate in South Dakota	r=0.86	23yrs	278
GMO use in cotton in Georgia	r=0.88	23yrs	274
The number of prepress technicians and workers in New York	r=0.92	20yrs	274
The divorce rate in North Carolina	r=0.85	23yrs	268
The number of prepress technicians and workers in North Carolina	r=0.92	20yrs	264
The divorce rate in Oregon	r=0.85	23yrs	258
The number of typists in Ohio	r=0.92	20yrs	254
Gasoline pumped in Portugal	r=0.85	43yrs	250
The marriage rate in Florida	r=0.85	23yrs	246
AIG's stock price (AIG)	r=0.82	21yrs	245
The number of librarians in California	r=0.93	16yrs	242
The number of telemarketers in California	r=0.9	20yrs	232
Number of Slot Machines in Nevada	r=0.66	39yrs	226
U.S. intercountry adoptions	r=0.81	23yrs	226
Career regular season goals scored by Sidney Crosby	r=0.81	21yrs	224
Ticket sales for Atlanta Braves games	r=0.68	40yrs	224
Ticket sales for Cleveland Guardians games	r=0.68	40yrs	224
Ticket sales for Baltimore Orioles games	r=0.67	40yrs	223
The number of data entry keyers in California	r=0.91	20yrs	222
Total annual sales of Ford Motors in the United States	r=0.79	23yrs	220
Home Run Count for the Texas Rangers Team	r=0.63	43yrs	218
Kerosene used in South Korea	r=0.82	43yrs	216
Motor vehicle thefts in South Carolina	r=0.73	38yrs	216
Lloyds Banking Group's stock price (LYG)	r=0.81	21yrs	214
Motor vehicle thefts in Mississippi	r=0.7	38yrs	212
The number of sewing machine operators in California	r=0.91	20yrs	212
Citigroup's stock price (C)	r=0.79	21yrs	210
US household spending on clothing	r=0.83	23yrs	208
US household spending on clothing for men	r=0.82	23yrs	207
US household spending on clothin for women	r=0.82	23yrs	207
US household spending on prescription drugs	r=0.82	23yrs	207
Gasoline pumped in Luxembourg	r=0.81	43yrs	204
US household spending on beef	r=0.8	23yrs	204
The number of typists in Florida	r=0.91	20yrs	202
Nuclear power generation in United Kingdom	r=0.79	42yrs	193
The number of advertising and promotions managers in Louisiana	r=0.91	20yrs	192
The number of prepress technicians and workers in Massachusetts	r=0.91	20yrs	182
Fossil fuel use in Macau	r=0.77	42yrs	180
Orange's stock price (ORAN)	r=0.78	21yrs	179
Motor vehicle thefts in Nebraska	r=0.65	38yrs	174
The number of switchboard operators in Michigan	r=0.91	20yrs	172
Ice cream consumption	r=0.73	32yrs	170
Electricity generation in Denmark	r=0.76	42yrs	168
Robberies in North Carolina	r=0.65	38yrs	164
The number of brickmasons in Mississippi	r=0.91	20yrs	162
Petroluem consumption in Greece	r=0.77	43yrs	158
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.82	22yrs	153
Geothermal power generated in Japan	r=0.75	42yrs	147
Liquefied petroleum gas used in Australia	r=0.76	43yrs	136
The marriage rate in South Carolina	r=0.85	23yrs	132
Gasoline pumped in Iceland	r=0.76	43yrs	126
The marriage rate in Tennessee	r=0.85	23yrs	122
Liquefied petroleum gas used in Portugal	r=0.76	43yrs	116
The divorce rate in Florida	r=0.84	23yrs	112
Gasoline pumped in Japan	r=0.75	43yrs	105
The marriage rate in Arizona	r=0.84	23yrs	100
Electricity generation in Jamaica	r=0.73	42yrs	94
The marriage rate in Nebraska	r=0.84	23yrs	90
Gasoline pumped in Dominica	r=0.75	42yrs	84
The marriage rate in Wisconsin	r=0.84	23yrs	80
Electricity generation in United Kingdom	r=0.72	42yrs	72
The divorce rate in Kentucky	r=0.83	23yrs	70
Fossil fuel use in Guam	r=0.71	42yrs	61
The divorce rate in Wyoming	r=0.83	23yrs	60
Fossil fuel use in Greece	r=0.7	42yrs	50
The marriage rate in Ohio	r=0.83	23yrs	48
Kerosene used in Nepal	r=0.72	42yrs	40
The divorce rate in Ohio	r=0.82	23yrs	38

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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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