Top variables that correlate with Popularity of the first name Codey

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

Variable	Correlation	Years	Sys. Score
Carjackings in the US	r=0.96	27yrs	424
Violent crime rates	r=0.94	37yrs	422
The marriage rate in Tennessee	r=0.96	23yrs	413
Robberies in Maryland	r=0.95	37yrs	413
The marriage rate in Nevada	r=0.95	23yrs	412
Frozen yogurt consumption	r=0.96	32yrs	410
AIG's stock price (AIG)	r=0.91	20yrs	392
The number of conveyor operators in Alabama	r=0.98	19yrs	392
The number of data entry keyers in Kentucky	r=0.98	19yrs	392
The number of telemarketers in California	r=0.96	19yrs	390
The divorce rate in Alabama	r=0.95	23yrs	383
Physical album shipment volume in the United States	r=0.95	23yrs	382
Petroluem consumption in Uzbekistan	r=0.91	30yrs	381
Gasoline pumped in Germany	r=0.9	31yrs	380
Popularity of the 'all your base' meme	r=0.92	16yrs	378
US milk fat used to produce fluid beverage milk	r=0.92	22yrs	376
Liquefied petroleum gas used in Greenland	r=0.93	22yrs	376
Google searches for 'learn spanish'	r=0.93	18yrs	375
Google searches for 'black holes'	r=0.92	18yrs	374
NASA's budget appropriation	r=0.86	47yrs	368
Google searches for 'desktop background'	r=0.9	15yrs	368
Customer satisfaction with Verizon	r=0.86	28yrs	364
Lloyds Banking Group's stock price (LYG)	r=0.9	20yrs	361
The number of postal service machine operators in California	r=0.97	19yrs	360
Remaining Forest Cover in the Brazilian Amazon	r=0.88	35yrs	359
US household spending on books	r=0.93	22yrs	358
US average milk-fat content of frozen dairy products	r=0.94	22yrs	356
US household spending on clothing	r=0.92	22yrs	356
US household spending on clothing for men	r=0.92	22yrs	356
Citigroup's stock price (C)	r=0.86	20yrs	355
US household spending on clothin for women	r=0.91	22yrs	354
The divorce rate in Tennessee	r=0.94	23yrs	352
Robberies in Kansas	r=0.94	37yrs	352
The number of file clerks in Illinois	r=0.97	19yrs	350
US birth rates of triplets or more	r=0.89	20yrs	347
Robberies in Louisiana	r=0.94	37yrs	342
Geothermal power generated in Austria	r=0.92	17yrs	342
Ticket sales for Arizona Diamondbacks games	r=0.88	22yrs	342
The number of postal service machine operators in Kansas	r=0.97	19yrs	340
The marriage rate in Alabama	r=0.94	23yrs	340
GMO use in corn grown in South Dakota	r=0.9	22yrs	339
Cigarette Smoking Rate for US adults	r=0.86	21yrs	336
United States music album sales	r=0.89	15yrs	334
GMO use in corn grown in Texas	r=0.9	17yrs	334
The number of postal service machine operators in Texas	r=0.97	19yrs	330
The marriage rate in Arkansas	r=0.94	23yrs	330
Motor vehicle thefts in Indiana	r=0.93	37yrs	330
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.92	22yrs	323
The number of postal service machine operators in Virginia	r=0.97	19yrs	320
The marriage rate in Wyoming	r=0.94	23yrs	320
Motor vehicle thefts in Florida	r=0.93	37yrs	320
Gasoline pumped in Spain	r=0.86	42yrs	316
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.91	22yrs	312
The number of professional painters in Virginia	r=0.97	19yrs	310
Robberies in Missouri	r=0.93	37yrs	310
Google searches for 'Panama Canal'	r=0.89	18yrs	309
The marriage rate in Idaho	r=0.93	23yrs	308
The number of typists in Alabama	r=0.96	19yrs	299
The marriage rate in Ohio	r=0.93	23yrs	298
Motor vehicle thefts in Louisiana	r=0.92	37yrs	298
Jet fuel used in Ukraine	r=0.89	30yrs	298
Google searches for 'panama canal'	r=0.88	18yrs	298
The number of postal service machine operators in Arizona	r=0.96	19yrs	289
The marriage rate in South Dakota	r=0.93	23yrs	288
Robberies in Texas	r=0.92	37yrs	288
Milk consumption	r=0.87	32yrs	288
Petroluem consumption in Azerbaijan	r=0.88	30yrs	286
Google searches for 'snoop dog'	r=0.87	18yrs	286
The number of file clerks in Arkansas	r=0.96	19yrs	279
The divorce rate in North Carolina	r=0.92	23yrs	278
Motor vehicle thefts in Pennsylvania	r=0.91	37yrs	277
Petroluem consumption in Germany	r=0.86	31yrs	274
The number of postal service machine operators in Colorado	r=0.96	19yrs	269
The marriage rate in Virginia	r=0.92	23yrs	267
Arson in North Carolina	r=0.9	37yrs	266
Gasoline pumped in North Macedonia	r=0.86	30yrs	264
The number of postal service machine operators in Connecticut	r=0.96	19yrs	259
The marriage rate in Kentucky	r=0.91	23yrs	256
Robberies in District of Columbia	r=0.9	37yrs	256
Gasoline pumped in Latvia	r=0.85	30yrs	252
The number of data entry keyers in District of Columbia	r=0.96	19yrs	249
The marriage rate in South Carolina	r=0.91	23yrs	246
Petroluem consumption in Ukraine	r=0.85	30yrs	242
The number of advertising and promotions managers in Idaho	r=0.96	19yrs	239
The divorce rate in Kentucky	r=0.9	23yrs	236
Motor vehicle thefts	r=0.89	37yrs	234
The number of postal service machine operators in Illinois	r=0.96	19yrs	229
The marriage rate in West Virginia	r=0.9	23yrs	224
Robberies in the US	r=0.88	37yrs	222
The number of prepress technicians and workers in Illinois	r=0.96	19yrs	219
Arson in Idaho	r=0.91	21yrs	211
The number of postal service machine operators in Indiana	r=0.96	19yrs	209
The number of data entry keyers in Iowa	r=0.96	19yrs	199
Motor vehicle thefts in Wisconsin	r=0.9	37yrs	186
The divorce rate in Nevada	r=0.89	23yrs	184
Robberies in Illinois	r=0.9	37yrs	176
The divorce rate in New Hampshire	r=0.89	23yrs	174
Robberies in Virginia	r=0.9	37yrs	166
The divorce rate in Ohio	r=0.89	23yrs	164
Arson in Pennsylvania	r=0.89	37yrs	154
The marriage rate in Arizona	r=0.89	23yrs	152

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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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