Top variables that correlate with Popularity of the first name Cherokee

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

Variable	Correlation	Years	Sys. Score
The marriage rate in Tennessee	r=0.98	23yrs	416
The marriage rate in Ohio	r=0.95	23yrs	412
Kerosene used in South Korea	r=0.92	43yrs	396
US household spending on books	r=0.97	23yrs	394
Kerosene used in South Africa	r=0.9	42yrs	392
Carjackings in the US	r=0.93	27yrs	390
The number of sewing machine operators in Louisiana	r=0.96	20yrs	390
The number of switchboard operators in Utah	r=0.95	20yrs	388
Petroluem consumption in Germany	r=0.91	32yrs	383
The marriage rate in Nevada	r=0.94	23yrs	380
Physical album shipment volume in the United States	r=0.92	24yrs	378
Ticket sales for Arizona Diamondbacks games	r=0.91	22yrs	376
Total annual sales of Ford Motors in the United States	r=0.92	23yrs	374
The number of typists in Michigan	r=0.95	20yrs	358
US household spending on beef	r=0.93	23yrs	358
Google searches for 'cia hotline'	r=0.85	19yrs	357
The wind speed in Los Angeles	r=0.91	22yrs	356
The divorce rate in Tennessee	r=0.93	23yrs	350
Motor vehicle thefts in Mississippi	r=0.88	38yrs	344
GMO use in corn grown in South Dakota	r=0.92	23yrs	343
Google searches for 'black holes'	r=0.89	19yrs	340
The marriage rate in Arizona	r=0.93	23yrs	338
Car crashes in the US	r=0.87	24yrs	338
US milk fat used to produce fluid beverage milk	r=0.87	22yrs	338
Google searches for 'E.T. phone home'	r=0.88	19yrs	338
Nuclear power generation in United Kingdom	r=0.89	42yrs	333
US Hospital Occupancy Rate	r=0.86	18yrs	333
The marriage rate in South Carolina	r=0.93	23yrs	328
The number of advertising and promotions managers in Tennessee	r=0.95	20yrs	328
Annual US household spending on books	r=0.9	23yrs	324
US household spending on clothing	r=0.89	23yrs	322
US household spending on clothing for men	r=0.89	23yrs	322
Gasoline pumped in Turkiye	r=0.89	43yrs	321
US household spending on meats, poultry, fish, and eggs	r=0.87	23yrs	320
US household spending on processed fruits	r=0.87	23yrs	320
The number of telemarketers in Virginia	r=0.94	20yrs	318
US average milk-fat content of frozen dairy products	r=0.89	22yrs	318
US household spending on clothin for women	r=0.86	23yrs	318
The divorce rate in Alabama	r=0.91	23yrs	317
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.87	22yrs	316
US household spending on pork	r=0.85	23yrs	316
US household spending on shoes	r=0.85	23yrs	316
Per capita consumption of margarine	r=0.95	10yrs	316
Gasoline pumped in Luxembourg	r=0.88	43yrs	310
Google searches for 'matt parker'	r=0.88	19yrs	308
The number of boiler operators in Arizona	r=0.94	20yrs	307
The marriage rate in Arkansas	r=0.91	23yrs	306
GMO use in cotton in North Carolina	r=0.89	23yrs	306
GMO use in cotton in Georgia	r=0.88	23yrs	304
Gasoline pumped in Portugal	r=0.88	43yrs	300
The number of advertising and promotions managers in Iowa	r=0.94	20yrs	297
Google searches for 'panama canal'	r=0.87	19yrs	297
The marriage rate in Virginia	r=0.91	23yrs	296
The number of couriers and messengers in Kentucky	r=0.94	20yrs	287
Google searches for 'Panama Canal'	r=0.87	19yrs	287
The marriage rate in Wisconsin	r=0.91	23yrs	286
Kerosene used in Belgium	r=0.86	39yrs	282
The number of advertising and promotions managers in Louisiana	r=0.94	20yrs	277
Google searches for 'learn spanish'	r=0.86	19yrs	276
The marriage rate in Missouri	r=0.9	23yrs	274
Gasoline pumped in Germany	r=0.89	32yrs	270
The number of advertising and promotions managers in New Mexico	r=0.94	20yrs	267
Gasoline pumped in Slovenia	r=0.88	31yrs	258
The number of advertising and promotions managers in North Carolina	r=0.94	20yrs	257
Customer satisfaction with Verizon	r=0.84	28yrs	256
Ticket sales for Baltimore Orioles games	r=0.83	45yrs	252
Customer satisfaction with Frontier Communications	r=0.81	28yrs	252
Ticket sales for Cleveland Guardians games	r=0.82	45yrs	250
The number of advertising and promotions managers in Colorado	r=0.93	20yrs	246
Customer satisfaction with Walmart	r=0.78	27yrs	246
Petroluem consumption in Uzbekistan	r=0.87	30yrs	245
The number of file clerks in Indiana	r=0.93	20yrs	236
The marriage rate in South Dakota	r=0.9	23yrs	234
Disney movies released	r=0.82	23yrs	234
Gasoline pumped in Eritrea	r=0.86	28yrs	232
US Employment Rate	r=0.76	33yrs	228
Emmy Awards Ceremony viewership	r=0.74	36yrs	228
The number of typists in Indiana	r=0.93	20yrs	226
The marriage rate in Idaho	r=0.89	23yrs	222
The number of advertising sales agents in Louisiana	r=0.93	20yrs	216
Liquefied petroleum gas used in Greenland	r=0.86	22yrs	216
The marriage rate in Kentucky	r=0.89	23yrs	212
The number of automotive body repairers in Michigan	r=0.93	20yrs	206
The marriage rate in New Hampshire	r=0.89	23yrs	202
Ticket sales for Atlanta Braves games	r=0.67	45yrs	198
The number of chemical engineers in New Mexico	r=0.95	18yrs	196
The marriage rate in North Carolina	r=0.89	23yrs	192
The number of proofreaders in Pennsylvania	r=0.93	20yrs	186
The marriage rate in Alabama	r=0.87	23yrs	180
The number of coil winders, tapers, and finishers in Pennsylvania	r=0.93	20yrs	176
The marriage rate in Wyoming	r=0.87	23yrs	170
The number of sewing machine operators in Virginia	r=0.93	20yrs	166
The marriage rate in Colorado	r=0.86	23yrs	158
The marriage rate in Texas	r=0.86	23yrs	148
Gasoline pumped in Italy	r=0.84	43yrs	118
Gasoline pumped in Denmark	r=0.83	43yrs	107
Gasoline pumped in Spain	r=0.83	43yrs	97
Kerosene used in Philippines	r=0.79	42yrs	80
Gasoline pumped in Mauritania	r=0.78	42yrs	68
Kerosene used in Mauritius	r=0.78	42yrs	58
Fossil fuel use in Greenland	r=0.75	42yrs	47

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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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