Top variables that correlate with Popularity of the first name Shawnee

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

Variable	Correlation	Years	Sys. Score
Violent crime rates	r=0.91	38yrs	418
The marriage rate in Tennessee	r=0.96	23yrs	413
Carjackings in the US	r=0.95	27yrs	393
Jet fuel used in Ukraine	r=0.94	30yrs	386
Gasoline pumped in Germany	r=0.9	32yrs	382
The marriage rate in Arizona	r=0.93	23yrs	378
The marriage rate in Nevada	r=0.93	23yrs	378
Robberies in Kansas	r=0.91	38yrs	378
Per capita consumption of margarine	r=0.97	10yrs	378
Ticket sales for Arizona Diamondbacks games	r=0.91	22yrs	376
Physical album shipment volume in the United States	r=0.9	24yrs	375
Frozen yogurt consumption	r=0.91	32yrs	372
Customer satisfaction with Verizon	r=0.86	28yrs	364
Customer satisfaction with Frontier Communications	r=0.85	28yrs	363
AIG's stock price (AIG)	r=0.87	21yrs	358
Lloyds Banking Group's stock price (LYG)	r=0.87	21yrs	358
The number of CEOs in Colorado	r=0.94	20yrs	358
US household spending on books	r=0.93	23yrs	358
The number of typists in Alabama	r=0.94	20yrs	357
The number of computer programmers in Colorado	r=0.93	20yrs	357
US household spending on clothing for men	r=0.9	23yrs	354
US average milk-fat content of frozen dairy products	r=0.9	22yrs	350
Petroluem consumption in Ukraine	r=0.9	30yrs	350
The marriage rate in Ohio	r=0.93	23yrs	348
Robberies in Louisiana	r=0.91	38yrs	348
US birth rates of triplets or more	r=0.87	20yrs	344
US milk fat used to produce fluid beverage milk	r=0.88	22yrs	340
The marriage rate in South Carolina	r=0.93	23yrs	338
Robberies in Maryland	r=0.91	38yrs	338
Google searches for 'learn spanish'	r=0.88	19yrs	338
US Hospital Occupancy Rate	r=0.88	18yrs	336
Total annual sales of Ford Motors in the United States	r=0.86	23yrs	335
The divorce rate in Tennessee	r=0.92	23yrs	328
The number of counter and rental clerks in New Jersey	r=0.94	20yrs	327
Robberies in Texas	r=0.9	38yrs	326
US household spending on processed fruits	r=0.89	23yrs	322
US household spending on clothing	r=0.89	23yrs	322
Petroluem consumption in Azerbaijan	r=0.89	30yrs	318
US household spending on clothin for women	r=0.86	23yrs	318
The divorce rate in Alabama	r=0.91	23yrs	317
The number of electrical and electronics repairers, commercial and industrial equipment in New York	r=0.94	20yrs	317
US household spending on beef	r=0.85	23yrs	316
Gasoline pumped in Eritrea	r=0.9	28yrs	308
The number of cutters and trimmers, hand in Ohio	r=0.94	20yrs	307
Gasoline pumped in Lithuania	r=0.88	31yrs	298
The number of brickmasons in South Carolina	r=0.94	20yrs	297
Petroluem consumption in Uzbekistan	r=0.89	30yrs	288
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.88	22yrs	287
The number of CEOs in Alabama	r=0.92	20yrs	286
Motor vehicle thefts in Louisiana	r=0.9	38yrs	286
The number of floral designers in Alaska	r=0.93	20yrs	276
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.87	22yrs	276
Arson in Pennsylvania	r=0.88	38yrs	274
Petroluem consumption in Belarus	r=0.86	30yrs	274
The marriage rate in Arkansas	r=0.89	23yrs	272
The number of typists in Arizona	r=0.93	20yrs	266
Motor vehicle thefts in Indiana	r=0.88	38yrs	264
Liquefied petroleum gas used in Belarus	r=0.86	30yrs	264
The marriage rate in Idaho	r=0.88	23yrs	261
The number of postal service machine operators in Connecticut	r=0.93	20yrs	256
NASA's budget as a percentage of the total US Federal Budget	r=0.81	48yrs	256
Motor vehicle thefts in Florida	r=0.88	38yrs	254
Jet fuel used in Saint Vincent/Grenadines	r=0.89	24yrs	252
The marriage rate in Kentucky	r=0.88	23yrs	251
Citigroup's stock price (C)	r=0.84	21yrs	248
The number of payroll and timekeeping clerks in Georgia	r=0.93	20yrs	246
Remaining Forest Cover in the Brazilian Amazon	r=0.82	36yrs	246
Robberies in Missouri	r=0.88	38yrs	244
Customer satisfaction with Walmart	r=0.75	27yrs	242
The marriage rate in Missouri	r=0.88	23yrs	241
Geothermal power generated in Austria	r=0.9	17yrs	240
The number of prepress technicians and workers in Illinois	r=0.93	20yrs	236
Motor vehicle thefts in Pennsylvania	r=0.87	38yrs	232
The marriage rate in Virginia	r=0.88	23yrs	231
Liquefied petroleum gas used in Greenland	r=0.87	22yrs	227
The number of pipelayers in Indiana	r=0.93	20yrs	226
Motor vehicle thefts in Wisconsin	r=0.87	38yrs	222
The marriage rate in Wyoming	r=0.88	23yrs	221
The number of data entry keyers in Iowa	r=0.93	20yrs	216
Robberies in Illinois	r=0.87	38yrs	212
Petroluem consumption in Serbia	r=0.88	16yrs	212
The divorce rate in New Hampshire	r=0.87	23yrs	211
The number of typists in Louisiana	r=0.93	20yrs	206
The divorce rate in North Carolina	r=0.87	23yrs	201
Arson in North Carolina	r=0.86	38yrs	200
The number of postal service machine operators in Maryland	r=0.93	20yrs	196
The marriage rate in Alabama	r=0.87	23yrs	190
Robberies in California	r=0.85	38yrs	189
The number of furniture finishers in Massachusetts	r=0.93	20yrs	186
The marriage rate in North Carolina	r=0.87	23yrs	180
Robberies in District of Columbia	r=0.85	38yrs	179
The number of floral designers in New Hampshire	r=0.93	20yrs	176
The marriage rate in South Dakota	r=0.87	23yrs	170
The number of postal service machine operators in New Jersey	r=0.93	20yrs	166
The marriage rate in Wisconsin	r=0.85	23yrs	156
Biomass power generated in Jamaica	r=0.8	42yrs	114
Gasoline pumped in Spain	r=0.81	43yrs	104
Petroluem consumption in Djibouti	r=0.81	42yrs	93
Kerosene used in Saint Kitts and Nevis	r=0.81	42yrs	83
Motor vehicle thefts	r=0.84	38yrs	82
Robberies in the US	r=0.84	38yrs	72

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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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