Top variables that correlate with Popularity of the first name Codie

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

Variable	Correlation	Years	Sys. Score
Carjackings in the US	r=0.96	27yrs	424
Violent crime rates	r=0.95	38yrs	424
The marriage rate in Tennessee	r=0.97	23yrs	414
Frozen yogurt consumption	r=0.97	32yrs	411
Petroluem consumption in Azerbaijan	r=0.93	30yrs	384
Robberies in Maryland	r=0.94	38yrs	382
Jet fuel used in Ukraine	r=0.91	30yrs	381
Per capita consumption of margarine	r=0.98	10yrs	380
Ticket sales for Arizona Diamondbacks games	r=0.92	22yrs	378
The marriage rate in Nevada	r=0.93	23yrs	378
The marriage rate in Ohio	r=0.93	23yrs	378
Physical album shipment volume in the United States	r=0.91	24yrs	376
Google searches for 'black holes'	r=0.93	19yrs	376
Google searches for 'learn spanish'	r=0.92	19yrs	374
NASA's budget appropriation	r=0.86	48yrs	369
Customer satisfaction with Verizon	r=0.89	28yrs	369
US household spending on books	r=0.95	23yrs	362
AIG's stock price (AIG)	r=0.87	21yrs	358
The number of brickmasons in Alabama	r=0.95	20yrs	358
The number of sewing machine operators in Alabama	r=0.94	20yrs	357
The number of sheet metal workers in California	r=0.94	20yrs	357
Remaining Forest Cover in the Brazilian Amazon	r=0.85	36yrs	356
US household spending on beef	r=0.91	23yrs	356
Robberies in Missouri	r=0.94	38yrs	352
The divorce rate in Tennessee	r=0.92	23yrs	348
Petroluem consumption in Uzbekistan	r=0.89	30yrs	348
Robberies in Kansas	r=0.93	38yrs	341
US milk fat used to produce fluid beverage milk	r=0.88	22yrs	340
Google searches for 'report UFO sighting'	r=0.85	19yrs	340
Google searches for 'E.T. phone home'	r=0.88	19yrs	338
The marriage rate in Arizona	r=0.92	23yrs	337
Total annual sales of Ford Motors in the United States	r=0.87	23yrs	336
Robberies in Louisiana	r=0.93	38yrs	331
The number of prepress technicians and workers in Kansas	r=0.94	20yrs	327
The marriage rate in South Carolina	r=0.91	23yrs	326
US household spending on processed fruits	r=0.89	23yrs	322
Robberies in Texas	r=0.93	38yrs	321
Annual US household spending on books	r=0.88	23yrs	321
US household spending on clothing for men	r=0.88	23yrs	321
US household spending on clothing	r=0.87	23yrs	320
US household spending on meats, poultry, fish, and eggs	r=0.86	23yrs	318
US household spending on pork	r=0.86	23yrs	318
The wind speed in Los Angeles	r=0.86	22yrs	318
The number of typists in Maine	r=0.94	20yrs	317
Gasoline pumped in Germany	r=0.86	32yrs	316
US average milk-fat content of frozen dairy products	r=0.87	22yrs	316
Robberies in Illinois	r=0.92	38yrs	310
Google searches for 'Panama Canal'	r=0.88	19yrs	308
The number of prepress technicians and workers in Connecticut	r=0.93	20yrs	306
Petroluem consumption in Ukraine	r=0.88	30yrs	306
Robberies in California	r=0.91	38yrs	298
The number of prepress technicians and workers in Illinois	r=0.93	20yrs	296
Google searches for 'panama canal'	r=0.86	19yrs	296
Petroluem consumption in Belarus	r=0.86	30yrs	294
The number of typists in Iowa	r=0.93	20yrs	286
The divorce rate in Alabama	r=0.89	23yrs	284
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.86	22yrs	284
Liquefied petroleum gas used in Greenland	r=0.89	22yrs	280
The number of postal service machine operators in Massachusetts	r=0.93	20yrs	276
Robberies in the US	r=0.89	38yrs	275
The marriage rate in Arkansas	r=0.89	23yrs	272
Jet fuel used in Saint Vincent/Grenadines	r=0.87	24yrs	269
The number of architects in Nebraska	r=0.93	20yrs	266
Motor vehicle thefts	r=0.88	38yrs	264
The marriage rate in Alabama	r=0.87	23yrs	260
Customer satisfaction with Frontier Communications	r=0.85	28yrs	258
The number of coil winders, tapers, and finishers in New Hampshire	r=0.93	20yrs	256
Liquefied petroleum gas used in Former Czechoslovakia	r=0.91	13yrs	254
Customer satisfaction with Walmart	r=0.81	27yrs	251
The marriage rate in Idaho	r=0.87	23yrs	250
Citigroup's stock price (C)	r=0.84	21yrs	248
Lloyds Banking Group's stock price (LYG)	r=0.84	21yrs	248
The number of CEOs in New Jersey	r=0.92	20yrs	246
Jet fuel used in Germany, West	r=0.92	11yrs	244
The marriage rate in Kentucky	r=0.87	23yrs	240
The number of chemical plant and system operators in New Jersey	r=0.93	20yrs	236
Motor vehicle thefts in Pennsylvania	r=0.9	38yrs	236
The marriage rate in Missouri	r=0.87	23yrs	230
The number of floral designers in North Carolina	r=0.93	20yrs	226
Motor vehicle thefts in Florida	r=0.9	38yrs	226
The marriage rate in South Dakota	r=0.87	23yrs	220
The number of cabinetmakers in North Carolina	r=0.93	20yrs	216
Robberies in District of Columbia	r=0.9	38yrs	216
The marriage rate in Virginia	r=0.87	23yrs	210
The number of advertising and promotions managers in Puerto Rico	r=0.93	20yrs	206
Motor vehicle thefts in Wisconsin	r=0.89	38yrs	205
The marriage rate in Wyoming	r=0.87	23yrs	200
The number of bill collectors in District of Columbia	r=0.93	18yrs	195
Motor vehicle thefts in Indiana	r=0.89	38yrs	195
The marriage rate in North Carolina	r=0.86	23yrs	188
The number of surveyors in Delaware	r=0.92	20yrs	184
Arson in North Carolina	r=0.88	38yrs	184
The marriage rate in Wisconsin	r=0.86	23yrs	178
The number of postal service machine operators in Illinois	r=0.92	20yrs	174
Arson in Wyoming	r=0.88	38yrs	174
The divorce rate in North Carolina	r=0.85	23yrs	168
The number of typists in Indiana	r=0.92	20yrs	164
Burglaries in District of Columbia	r=0.88	38yrs	164
Motor vehicle thefts in Louisiana	r=0.88	38yrs	154
Gasoline pumped in Guinea-Bissau	r=0.8	42yrs	142
Kerosene used in Saint Kitts and Nevis	r=0.8	42yrs	132

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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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