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

VariableCorrelationYearsHas img?
Jet fuel used in Ukrainer=0.9130yrsNo



Popularity of the first name Codie also correlates with...

VariableCorrelationYearsSys. Score
Carjackings in the USr=0.9627yrs424
Violent crime ratesr=0.9538yrs424
The marriage rate in Tennesseer=0.9723yrs414
Frozen yogurt consumptionr=0.9732yrs411
Petroluem consumption in Azerbaijanr=0.9330yrs384
Robberies in Marylandr=0.9438yrs382
Per capita consumption of margariner=0.9810yrs380
Ticket sales for Arizona Diamondbacks gamesr=0.9222yrs378
The marriage rate in Nevadar=0.9323yrs378
The marriage rate in Ohior=0.9323yrs378
Physical album shipment volume in the United Statesr=0.9124yrs376
Google searches for 'black holes'r=0.9319yrs376
Google searches for 'learn spanish'r=0.9219yrs374
NASA's budget appropriationr=0.8648yrs369
Customer satisfaction with Verizonr=0.8928yrs369
US household spending on booksr=0.9523yrs362
AIG's stock price (AIG)r=0.8721yrs358
The number of brickmasons in Alabamar=0.9520yrs358
The number of sewing machine operators in Alabamar=0.9420yrs357
The number of sheet metal workers in Californiar=0.9420yrs357
Remaining Forest Cover in the Brazilian Amazonr=0.8536yrs356
US household spending on beefr=0.9123yrs356
Robberies in Missourir=0.9438yrs352
The divorce rate in Tennesseer=0.9223yrs348
Petroluem consumption in Uzbekistanr=0.8930yrs348
Robberies in Kansasr=0.9338yrs341
US milk fat used to produce fluid beverage milkr=0.8822yrs340
Google searches for 'report UFO sighting'r=0.8519yrs340
Google searches for 'E.T. phone home'r=0.8819yrs338
The marriage rate in Arizonar=0.9223yrs337
Total annual sales of Ford Motors in the United Statesr=0.8723yrs336
Robberies in Louisianar=0.9338yrs331
The number of prepress technicians and workers in Kansasr=0.9420yrs327
The marriage rate in South Carolinar=0.9123yrs326
US household spending on processed fruitsr=0.8923yrs322
Robberies in Texasr=0.9338yrs321
Annual US household spending on booksr=0.8823yrs321
US household spending on clothing for menr=0.8823yrs321
US household spending on clothingr=0.8723yrs320
US household spending on meats, poultry, fish, and eggsr=0.8623yrs318
US household spending on porkr=0.8623yrs318
The wind speed in Los Angelesr=0.8622yrs318
The number of typists in Mainer=0.9420yrs317
Gasoline pumped in Germanyr=0.8632yrs316
US average milk-fat content of frozen dairy productsr=0.8722yrs316
Robberies in Illinoisr=0.9238yrs310
Google searches for 'Panama Canal'r=0.8819yrs308
The number of prepress technicians and workers in Connecticutr=0.9320yrs306
Petroluem consumption in Ukrainer=0.8830yrs306
Robberies in Californiar=0.9138yrs298
The number of prepress technicians and workers in Illinoisr=0.9320yrs296
Google searches for 'panama canal'r=0.8619yrs296
Petroluem consumption in Belarusr=0.8630yrs294
The number of typists in Iowar=0.9320yrs286
The divorce rate in Alabamar=0.8923yrs284
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.8622yrs284
Liquefied petroleum gas used in Greenlandr=0.8922yrs280
The number of postal service machine operators in Massachusettsr=0.9320yrs276
Robberies in the USr=0.8938yrs275
The marriage rate in Arkansasr=0.8923yrs272
Jet fuel used in Saint Vincent/Grenadinesr=0.8724yrs269
The number of architects in Nebraskar=0.9320yrs266
Motor vehicle theftsr=0.8838yrs264
The marriage rate in Alabamar=0.8723yrs260
Customer satisfaction with Frontier Communicationsr=0.8528yrs258
The number of coil winders, tapers, and finishers in New Hampshirer=0.9320yrs256
Liquefied petroleum gas used in Former Czechoslovakiar=0.9113yrs254
Customer satisfaction with Walmartr=0.8127yrs251
The marriage rate in Idahor=0.8723yrs250
Citigroup's stock price (C)r=0.8421yrs248
Lloyds Banking Group's stock price (LYG)r=0.8421yrs248
The number of CEOs in New Jerseyr=0.9220yrs246
Jet fuel used in Germany, Westr=0.9211yrs244
The marriage rate in Kentuckyr=0.8723yrs240
The number of chemical plant and system operators in New Jerseyr=0.9320yrs236
Motor vehicle thefts in Pennsylvaniar=0.938yrs236
The marriage rate in Missourir=0.8723yrs230
The number of floral designers in North Carolinar=0.9320yrs226
Motor vehicle thefts in Floridar=0.938yrs226
The marriage rate in South Dakotar=0.8723yrs220
The number of cabinetmakers in North Carolinar=0.9320yrs216
Robberies in District of Columbiar=0.938yrs216
The marriage rate in Virginiar=0.8723yrs210
The number of advertising and promotions managers in Puerto Ricor=0.9320yrs206
Motor vehicle thefts in Wisconsinr=0.8938yrs205
The marriage rate in Wyomingr=0.8723yrs200
The number of bill collectors in District of Columbiar=0.9318yrs195
Motor vehicle thefts in Indianar=0.8938yrs195
The marriage rate in North Carolinar=0.8623yrs188
The number of surveyors in Delawarer=0.9220yrs184
Arson in North Carolinar=0.8838yrs184
The marriage rate in Wisconsinr=0.8623yrs178
The number of postal service machine operators in Illinoisr=0.9220yrs174
Arson in Wyomingr=0.8838yrs174
The divorce rate in North Carolinar=0.8523yrs168
The number of typists in Indianar=0.9220yrs164
Burglaries in District of Columbiar=0.8838yrs164
Motor vehicle thefts in Louisianar=0.8838yrs154
Gasoline pumped in Guinea-Bissaur=0.842yrs142
Kerosene used in Saint Kitts and Nevisr=0.842yrs132


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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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