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

VariableCorrelationYearsSys. Score
Arson in United Statesr=0.9638yrs436
Remaining Forest Cover in the Brazilian Amazonr=0.9836yrs435
Burglary rates in the USr=0.9538yrs434
Kerosene used in Egyptr=0.9842yrs434
Kerosene used in Pakistanr=0.9742yrs432
Carjackings in the USr=0.9727yrs426
US birth rates of triplets or morer=0.9620yrs418
The marriage rate in Arkansasr=0.9823yrs416
The marriage rate in Tennesseer=0.9823yrs416
Physical album shipment volume in the United Statesr=0.9624yrs414
The marriage rate in Nevadar=0.9723yrs414
The wind speed in Austinr=0.9639yrs410
Gasoline pumped in Francer=0.9543yrs400
US household spending on booksr=0.9723yrs394
The number of telemarketers in Illinoisr=0.9720yrs393
US household spending on clothingr=0.9623yrs393
US household spending on clothing for menr=0.9623yrs393
The number of telemarketers in Californiar=0.9620yrs392
The number of switchboard operators in Georgiar=0.9720yrs392
Burglaries in New Yorkr=0.9938yrs390
US average milk-fat content of frozen dairy productsr=0.9622yrs389
The marriage rate in Ohior=0.9723yrs384
Burglaries in Connecticutr=0.9938yrs380
Frozen yogurt consumptionr=0.9532yrs378
Google searches for 'panama canal'r=0.9419yrs378
The wind speed in San Diegor=0.9439yrs378
The marriage rate in South Carolinar=0.9723yrs374
Google searches for 'shook'r=0.9219yrs374
Google searches for 'Panama Canal'r=0.9219yrs374
Average length of LockPickingLawyer YouTube videosr=0.968yrs374
United States music album salesr=0.9316yrs372
Jet fuel used in Germany, Westr=0.9611yrs370
Motor vehicle thefts in Massachusettsr=0.9938yrs370
The divorce rate in Tennesseer=0.9623yrs364
Customer satisfaction with Frontier Communicationsr=0.8628yrs364
Customer satisfaction with Verizonr=0.8528yrs363
Air pollution in Santa Maria, Californiar=0.9443yrs363
The number of bill collectors in Illinoisr=0.9620yrs362
Air pollution in Oxnard, Californiar=0.9343yrs362
Air pollution in San Diego, Californiar=0.9343yrs362
US household spending on clothin for womenr=0.9423yrs360
Kerosene used in Argentinar=0.9542yrs359
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.9522yrs358
Motor vehicle thefts in New Jerseyr=0.9838yrs358
The marriage rate in South Dakotar=0.9623yrs353
The number of floral designers in Indianar=0.9720yrs352
Kerosene used in Thailandr=0.9442yrs348
Violent crime ratesr=0.9138yrs348
Google searches for 'oprah winfrey'r=0.9219yrs344
The marriage rate in Virginiar=0.9623yrs343
The number of switchboard operators in Massachusettsr=0.9720yrs342
Burglaries in Floridar=0.9738yrs337
Gasoline pumped in Austriar=0.9243yrs336
The divorce rate in Alabamar=0.9523yrs333
The number of conveyor operators in New Jerseyr=0.9720yrs332
Google searches for 'learn spanish'r=0.919yrs332
Air pollution in Los Angelesr=0.943yrs330
Burglaries in District of Columbiar=0.9738yrs327
Kerosene used in North Korear=0.9342yrs326
The number of telemarketers in New Yorkr=0.9620yrs322
Air pollution in Riverside, Californiar=0.9243yrs320
Robberies in New Yorkr=0.9738yrs317
Kerosene used in Cubar=0.9242yrs314
The number of data entry keyers in New Yorkr=0.9720yrs312
Air pollution in Santa Maria, Californiar=0.9142yrs308
Burglaries in New Jerseyr=0.9638yrs306
Petroluem consumption in North Korear=0.9142yrs303
The number of sewing machine operators in New Yorkr=0.9720yrs302
Air pollution in Steamboat Springs, Colorador=0.9438yrs298
Burglaries in New Mexicor=0.9638yrs296
The divorce rate in North Carolinar=0.9523yrs293
The number of switchboard operators in North Carolinar=0.9720yrs292
Gasoline pumped in Cubar=0.942yrs292
Burglaries in Rhode Islandr=0.9638yrs286
The number of file clerks in Ohior=0.9720yrs282
The marriage rate in Arizonar=0.9523yrs282
Burglaries in Virginiar=0.9638yrs276
The number of counter and rental clerks in Pennsylvaniar=0.9720yrs272
The marriage rate in Idahor=0.9523yrs272
Gasoline pumped in Germanyr=0.932yrs272
Burglaries in Californiar=0.9638yrs266
The number of switchboard operators in Tennesseer=0.9720yrs262
The divorce rate in Ohior=0.9423yrs262
Petroluem consumption in Uzbekistanr=0.9230yrs262
Motor vehicle thefts in Mainer=0.9638yrs256
The number of millwrights in Wisconsinr=0.9720yrs252
The divorce rate in Oregonr=0.9423yrs252
Motor vehicle thefts in New Yorkr=0.9638yrs246
The number of sewing machine operators in Californiar=0.9620yrs240
The marriage rate in Kentuckyr=0.9423yrs240
Robberies in Oregonr=0.9638yrs236
The number of prepress technicians and workers in Colorador=0.9620yrs230
The marriage rate in Texasr=0.9423yrs230
Robberies in Washingtonr=0.9638yrs226
The number of typists in Floridar=0.9620yrs220
The marriage rate in Wyomingr=0.9423yrs220
The number of switchboard operators in Indianar=0.9620yrs210
The divorce rate in Wyomingr=0.9323yrs210
The number of cooks, institution and cafeteria in Louisianar=0.9620yrs200
The marriage rate in Alabamar=0.9323yrs198
The marriage rate in Kansasr=0.9323yrs188


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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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