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

VariableCorrelationYearsSys. Score
Gasoline pumped in Bulgariar=0.9742yrs432
Kerosene used in Turkiyer=0.9643yrs432
Petroluem consumption in Bulgariar=0.9642yrs430
Carjackings in the USr=0.9727yrs426
Average number of milk cows in the United Statesr=0.9543yrs424
US birth rates of triplets or morer=0.9620yrs418
Burglaries in Colorador=0.9838yrs418
Arson in New Yorkr=0.9738yrs417
Physical album shipment volume in the United Statesr=0.9724yrs416
The marriage rate in Nevadar=0.9823yrs416
The divorce rate in Alabamar=0.9723yrs416
The divorce rate in Tennesseer=0.9723yrs416
Google searches for 'desktop background'r=0.9616yrs408
United States music album salesr=0.9616yrs406
Viewership count for Days of Our Livesr=0.947yrs402
Kerosene used in Mexicor=0.9740yrs400
Air pollution in Los Angelesr=0.9643yrs399
Remaining Forest Cover in the Brazilian Amazonr=0.9236yrs396
The number of telemarketers in Californiar=0.9920yrs396
Air pollution in San Diego, Californiar=0.9643yrs396
The number of postal service machine operators in Oregonr=0.9920yrs394
Air pollution in Oxnard, Californiar=0.9641yrs394
The number of meter readers, utilities in Alabamar=0.9820yrs393
US household spending on clothingr=0.9623yrs393
US household spending on booksr=0.9623yrs393
US average milk-fat content of frozen dairy productsr=0.9822yrs392
US household spending on clothing for menr=0.9523yrs392
Gasoline pumped in Somaliar=0.9642yrs390
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.9722yrs390
Burglaries in New Yorkr=0.9638yrs386
The distance between Neptune and Mercuryr=0.9448yrs386
The distance between Neptune and Earthr=0.9348yrs385
The distance between Neptune and the moonr=0.9348yrs385
The marriage rate in Arkansasr=0.9723yrs384
Kerosene used in Venezuelar=0.9642yrs380
Google searches for 'report UFO sighting'r=0.919yrs378
Google searches for 'learn spanish'r=0.9419yrs378
Burglaries in Oregonr=0.9638yrs376
The marriage rate in Tennesseer=0.9723yrs374
Burglaries in Californiar=0.9638yrs366
The marriage rate in Idahor=0.9623yrs363
The number of switchboard operators in Californiar=0.9820yrs363
Portion of all US dairy skim-solids allocated to the production of frozen dairy productsr=0.9722yrs360
Robberies in Oregonr=0.9638yrs356
The distance between Neptune and the Sunr=0.9248yrs354
The divorce rate in North Carolinar=0.9523yrs353
The number of sewing machine operators in Californiar=0.9820yrs353
The number of postal service machine operators in Connecticutr=0.9820yrs343
The marriage rate in Ohior=0.9523yrs342
Kerosene used in Ecuadorr=0.9542yrs339
US milk fat used to produce fluid beverage milkr=0.9322yrs338
The number of proofreaders in Connecticutr=0.9820yrs333
The marriage rate in South Carolinar=0.9523yrs332
Burglary rates in the USr=0.9138yrs328
Petroluem consumption in Romaniar=0.9342yrs326
The number of couriers and messengers in Indianar=0.9820yrs323
The marriage rate in South Dakotar=0.9523yrs322
Gasoline pumped in Cubar=0.9242yrs314
The number of prepress technicians and workers in Massachusettsr=0.9820yrs313
Kerosene used in Cubar=0.9242yrs304
The number of postal service machine operators in Nebraskar=0.9820yrs303
Burglaries in Texasr=0.9438yrs302
Kerosene used in Uruguayr=0.9242yrs294
The number of telemarketers in New Yorkr=0.9720yrs293
Burglaries in Washingtonr=0.9438yrs292
The number of data entry keyers in New Yorkr=0.9820yrs283
Kerosene used in Argentinar=0.9142yrs283
The marriage rate in Alabamar=0.9523yrs282
Burglaries in Connecticutr=0.9438yrs282
The number of postal service machine operators in North Dakotar=0.9820yrs273
Kerosene used in Brazilr=0.9142yrs273
The marriage rate in Virginiar=0.9523yrs272
Motor vehicle thefts in Massachusettsr=0.9438yrs272
The number of CEOs in Ohior=0.9720yrs263
Kerosene used in Hong Kongr=0.9142yrs263
The marriage rate in Wyomingr=0.9523yrs262
Arson in Colorador=0.9338yrs261
The number of typists in Washingtonr=0.9820yrs253
Kerosene used in Thailandr=0.9142yrs253
Burglaries in Oklahomar=0.9338yrs251
The marriage rate in Kentuckyr=0.9423yrs250
The number of switchboard operators in Wisconsinr=0.9820yrs243
Kerosene used in Boliviar=0.942yrs242
Burglaries in Rhode Islandr=0.9338yrs241
The divorce rate in Kentuckyr=0.9323yrs240
The number of millwrights in Wisconsinr=0.9820yrs233
Kerosene used in Romaniar=0.942yrs232
Motor vehicle thefts in Oklahomar=0.9338yrs231
The divorce rate in New Hampshirer=0.9323yrs230
The number of switchboard operators in Alabamar=0.9720yrs222
Robberies in Michiganr=0.9338yrs221
The divorce rate in Oregonr=0.9323yrs220
Jet fuel used in Ukrainer=0.9430yrs216
The number of typists in Alabamar=0.9720yrs212
The divorce rate in Wyomingr=0.9323yrs210
Burglaries in Michiganr=0.9238yrs210
The number of prepress technicians and workers in Californiar=0.9720yrs202
Petroluem consumption in Ukrainer=0.9230yrs202
Burglaries in Montanar=0.9238yrs200
Burglaries in New Mexicor=0.9238yrs190
Petroluem consumption in Uzbekistanr=0.930yrs190


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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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