Top variables that correlate with Popularity of the first name Shae

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

Variable	Correlation	Years	Sys. Score
Gasoline pumped in Portugal	r=0.91	43yrs	394
Nuclear power generation in United Kingdom	r=0.88	42yrs	362
Ticket sales for Baltimore Orioles games	r=0.85	45yrs	360
Gasoline pumped in Luxembourg	r=0.88	43yrs	360
Citigroup's stock price (C)	r=0.86	21yrs	356
AIG's stock price (AIG)	r=0.85	21yrs	354
The number of property association managers in Colorado	r=0.92	20yrs	354
The number of statistical assistants in Florida	r=0.91	20yrs	352
The number of compensation and benefits managers in Rhode Island	r=0.91	19yrs	352
Physical album shipment volume in the United States	r=0.9	24yrs	345
The marriage rate in Nevada	r=0.9	23yrs	344
The marriage rate in Idaho	r=0.89	23yrs	342
The marriage rate in Wyoming	r=0.89	23yrs	342
Motor vehicle thefts in Mississippi	r=0.86	38yrs	340
Google searches for 'black holes'	r=0.86	19yrs	336
Gasoline pumped in Turkiye	r=0.87	43yrs	328
The number of sheet metal workers in California	r=0.9	20yrs	321
US household spending on floor coverings	r=0.85	23yrs	316
The number of fast food cooks in Louisiana	r=0.9	20yrs	311
The divorce rate in Alabama	r=0.87	23yrs	311
Petroluem consumption in Germany	r=0.88	32yrs	308
GMO use in cotton in North Carolina	r=0.86	23yrs	301
The marriage rate in Alabama	r=0.87	23yrs	300
Gasoline pumped in Germany	r=0.87	32yrs	297
The marriage rate in Kentucky	r=0.86	23yrs	288
Fossil fuel use in Slovakia	r=0.85	29yrs	284
The marriage rate in Tennessee	r=0.86	23yrs	278
Gasoline pumped in Slovenia	r=0.85	31yrs	273
The number of receptionists in Missouri	r=0.9	20yrs	272
The marriage rate in Virginia	r=0.86	23yrs	268
The number of CEOs in New Jersey	r=0.89	20yrs	261
Liquefied petroleum gas used in Greenland	r=0.88	22yrs	258
The number of professional painters in Ohio	r=0.9	20yrs	251
Ticket sales for Cleveland Guardians games	r=0.81	45yrs	249
Lloyds Banking Group's stock price (LYG)	r=0.81	21yrs	244
Carjackings in the US	r=0.84	27yrs	242
The number of sales managers in Puerto Rico	r=0.9	20yrs	241
US Employment Rate	r=0.83	33yrs	238
NASA's budget appropriation	r=0.66	48yrs	234
Ticket sales for Atlanta Braves games	r=0.71	45yrs	234
Disney movies released	r=0.81	23yrs	233
Motor vehicle thefts in North Carolina	r=0.84	38yrs	232
The number of payroll and timekeeping clerks in Michigan	r=0.89	20yrs	230
US milk fat used to produce fluid beverage milk	r=0.84	22yrs	229
Emmy Awards Ceremony viewership	r=0.74	36yrs	228
Google searches for 'Panama Canal'	r=0.83	19yrs	226
Car crashes in the US	r=0.82	24yrs	225
Global count of operating nuclear power plants	r=0.63	48yrs	224
NBA Season MVP's Age	r=0.74	32yrs	224
Sherbet consumption	r=0.82	32yrs	224
Ice cream consumption	r=0.81	32yrs	222
Total annual sales of Ford Motors in the United States	r=0.8	23yrs	221
The number of millwrights in Michigan	r=0.89	20yrs	220
The number of industrial production managers in Puerto Rico	r=0.89	20yrs	210
Motor vehicle thefts in South Carolina	r=0.82	38yrs	200
The number of sewing machine operators in Alabama	r=0.88	20yrs	198
Ticket sales for Arizona Diamondbacks games	r=0.81	22yrs	196
Robberies in North Carolina	r=0.82	38yrs	190
The number of carpenters in Connecticut	r=0.88	20yrs	188
Processed cheese consumption	r=0.82	27yrs	188
The number of file clerks in Indiana	r=0.88	20yrs	178
The average age of batters for the San Diego Padres	r=0.59	48yrs	176
Robberies in South Carolina	r=0.79	38yrs	175
Milk consumption	r=0.74	32yrs	173
The number of professional painters in Indiana	r=0.88	20yrs	168
Kerosene used in South Korea	r=0.85	43yrs	160
Motor vehicle thefts in Louisiana	r=0.75	38yrs	159
The number of carpenters in Kansas	r=0.88	20yrs	158
The divorce rate in Tennessee	r=0.85	23yrs	153
The number of cabinetmakers in Kentucky	r=0.88	20yrs	148
Arson in Pennsylvania	r=0.74	38yrs	148
Gasoline pumped in Spain	r=0.83	43yrs	147
The marriage rate in Arizona	r=0.85	23yrs	142
The number of sewing machine operators in Mississippi	r=0.88	20yrs	138
Kerosene used in South Africa	r=0.83	42yrs	136
Motor vehicle thefts in Georgia	r=0.73	38yrs	136
The marriage rate in Arkansas	r=0.85	23yrs	132
The number of chemists in New York	r=0.88	20yrs	128
Robberies in Mississippi	r=0.73	38yrs	126
Kerosene used in Belgium	r=0.84	39yrs	124
The marriage rate in Ohio	r=0.84	23yrs	120
Gasoline pumped in Denmark	r=0.81	43yrs	114
Arson in Nebraska	r=0.72	38yrs	114
The marriage rate in North Carolina	r=0.83	23yrs	108
Liquefied petroleum gas used in Portugal	r=0.81	43yrs	104
Motor vehicle thefts in Nevada	r=0.72	38yrs	104
The marriage rate in Louisiana	r=0.82	23yrs	97
Liquefied petroleum gas used in Australia	r=0.8	43yrs	92
Motor vehicle thefts in Indiana	r=0.7	38yrs	92
The marriage rate in South Carolina	r=0.82	23yrs	87
Petroluem consumption in Portugal	r=0.79	43yrs	81
Motor vehicle thefts in Nebraska	r=0.69	38yrs	80
The marriage rate in South Dakota	r=0.82	23yrs	77
Motor vehicle thefts in Virginia	r=0.69	38yrs	70
Kerosene used in Central African Republic	r=0.83	35yrs	69
The marriage rate in Wisconsin	r=0.82	23yrs	67
The divorce rate in Kentucky	r=0.81	23yrs	57
Gasoline pumped in Finland	r=0.76	43yrs	56
Gasoline pumped in Italy	r=0.76	43yrs	46
The marriage rate in Missouri	r=0.81	23yrs	46
The divorce rate in North Carolina	r=0.8	23yrs	36

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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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