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

VariableCorrelationYearsSys. Score
Violent crime ratesr=0.9238yrs420
Motor vehicle thefts in New Yorkr=0.9738yrs417
Petroluem consumption in Belarusr=0.9530yrs417
Petroluem consumption in Ukrainer=0.9530yrs417
Robberies in New Yorkr=0.9638yrs416
Carjackings in the USr=0.9227yrs388
Jet fuel used in Ukrainer=0.9430yrs386
The marriage rate in Tennesseer=0.9523yrs382
The marriage rate in Arizonar=0.9323yrs378
The marriage rate in Ohior=0.9323yrs378
Ticket sales for Arizona Diamondbacks gamesr=0.922yrs374
The wind speed in San Diegor=0.9139yrs373
Google searches for 'E.T. phone home'r=0.919yrs372
Robberies in the USr=0.9138yrs368
US household spending on booksr=0.9423yrs360
Remaining Forest Cover in the Brazilian Amazonr=0.8736yrs358
The number of telemarketers in Oregonr=0.9120yrs354
Kerosene used in French Polynesiar=0.9132yrs353
The number of pipelayers in Mississippir=0.9120yrs352
The number of telecommunications line installers and repairers in Oklahomar=0.9120yrs352
Air pollution in Los Alamos, New Mexicor=0.9133yrs348
The divorce rate in Tennesseer=0.9123yrs347
Per capita consumption of margariner=0.9510yrs346
Physical album shipment volume in the United Statesr=0.8924yrs344
Google searches for 'report UFO sighting'r=0.8819yrs344
Google searches for 'black holes'r=0.8919yrs340
Frozen yogurt consumptionr=0.8832yrs338
Google searches for 'matt parker'r=0.8819yrs338
The marriage rate in Nevadar=0.9123yrs336
Evaporated and condensed milk consumptionr=0.8732yrs336
Total annual sales of Ford Motors in the United Statesr=0.8623yrs335
Robberies in Californiar=0.9438yrs332
The marriage rate in South Carolinar=0.923yrs324
US household spending on beefr=0.923yrs324
The number of compensation and benefits managers in Kansasr=0.9119yrs322
US household spending on processed fruitsr=0.8923yrs322
Motor vehicle thefts in Texasr=0.9338yrs321
US household spending on clothing for menr=0.8823yrs321
US household spending on clothingr=0.8723yrs320
Air pollution in Santa Maria, Californiar=0.8642yrs320
Annual US household spending on booksr=0.8623yrs318
Air pollution in Santa Maria, Californiar=0.8541yrs318
US household spending on meats, poultry, fish, and eggsr=0.8523yrs316
US average milk-fat content of frozen dairy productsr=0.8622yrs314
Motor vehicle thefts in Texasr=0.9338yrs311
Petroluem consumption in Azerbaijanr=0.930yrs310
Motor vehicle thefts in Texasr=0.9338yrs301
Gasoline pumped in Belarusr=0.8930yrs298
Robberies in Illinoisr=0.9338yrs291
Air pollution in Steamboat Springs, Colorador=0.8538yrs284
The marriage rate in Arkansasr=0.8923yrs282
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.8522yrs282
The number of data entry keyers in Arkansasr=0.920yrs281
Motor vehicle thefts in New Jerseyr=0.9238yrs280
Jet fuel used in Saint Vincent/Grenadinesr=0.8624yrs278
The divorce rate in Alabamar=0.8823yrs272
The number of architects in Nebraskar=0.8920yrs270
Burglaries in District of Columbiar=0.9138yrs268
Liquefied petroleum gas used in Greenlandr=0.8622yrs266
The marriage rate in Missourir=0.8723yrs260
The number of advertising sales agents in Virginiar=0.8920yrs260
Robberies in Texasr=0.9138yrs258
Customer satisfaction with Verizonr=0.8428yrs256
Jet fuel used in Germany, Westr=0.9311yrs255
Customer satisfaction with Frontier Communicationsr=0.8328yrs255
Customer satisfaction with Walmartr=0.8127yrs251
The marriage rate in South Dakotar=0.8723yrs250
The number of telemarketers in Virginiar=0.8820yrs250
NASA's budget appropriationr=0.7548yrs248
The marriage rate in Virginiar=0.8723yrs240
The number of bill collectors in District of Columbiar=0.8918yrs239
Motor vehicle theftsr=0.8738yrs232
The marriage rate in Idahor=0.8623yrs228
The number of data entry keyers in Alabamar=0.8820yrs228
The marriage rate in Kentuckyr=0.8623yrs218
The number of foresters in Arkansasr=0.8820yrs218
The marriage rate in Wisconsinr=0.8623yrs208
The number of couriers and messengers in Illinoisr=0.8820yrs208
Burglaries in New Yorkr=0.938yrs206
The number of dental laboratory technicians in Louisianar=0.8820yrs198
Burglaries in Connecticutr=0.938yrs196
The marriage rate in North Carolinar=0.8523yrs196
The number of typists in Michiganr=0.8820yrs188
Motor vehicle thefts in Massachusettsr=0.938yrs186
The marriage rate in Texasr=0.8523yrs186
The number of prepress technicians and workers in Mississippir=0.8820yrs178
Robberies in Missourir=0.938yrs176
The number of meter readers, utilities in Montanar=0.8820yrs168
Robberies in Connecticutr=0.8938yrs165
The number of cooks, short order in North Carolinar=0.8820yrs158
Petroluem consumption in North Korear=0.8342yrs156
Robberies in Connecticutr=0.8938yrs155
The number of librarians in Hawaiir=0.916yrs147
Kerosene used in North Korear=0.8242yrs144
The number of compensation and benefits managers in Kentuckyr=0.8819yrs137
Jet fuel used in Afghanistanr=0.8142yrs133
The number of floral designers in Alabamar=0.8720yrs126
Jet fuel used in French Polynesiar=0.842yrs122
Kerosene used in Pakistanr=0.842yrs112
Kerosene used in Zambiar=0.7942yrs100
Kerosene used in Egyptr=0.7842yrs88


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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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