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

VariableCorrelationYearsSys. Score
Arson in United Statesr=0.9638yrs436
Burglary rates in the USr=0.9638yrs436
Kerosene used in Turkiyer=0.9643yrs432
Remaining Forest Cover in the Brazilian Amazonr=0.9536yrs430
Kerosene used in Mexicor=0.9540yrs427
Burglaries in New Yorkr=0.9838yrs418
Google searches for 'snoop dog'r=0.9719yrs412
Google searches for 'learn spanish'r=0.9519yrs409
Cottage cheese consumptionr=0.9532yrs408
United States music album salesr=0.9616yrs406
Air pollution in Los Angelesr=0.9643yrs399
Gasoline pumped in Bulgariar=0.9542yrs399
Air pollution in San Diego, Californiar=0.9643yrs396
Air pollution in Oxnard, Californiar=0.9641yrs394
The number of boiler operators in Ohior=0.9820yrs393
The number of sewing machine operators in Arkansasr=0.9720yrs392
The number of bill collectors in Colorador=0.9620yrs392
Burglaries in Californiar=0.9838yrs388
Average number of milk cows in the United Statesr=0.8943yrs386
The distance between Neptune and Mercuryr=0.9248yrs384
US birth rates of triplets or morer=0.9220yrs382
Physical album shipment volume in the United Statesr=0.9524yrs382
U.S. intercountry adoptionsr=0.9523yrs382
The distance between Neptune and Earthr=0.9148yrs382
The distance between Neptune and the moonr=0.9148yrs382
The marriage rate in Wyomingr=0.9523yrs382
Associates degrees awarded in Management information systemsr=0.9511yrs381
The marriage rate in Idahor=0.9423yrs380
Burglaries in Connecticutr=0.9838yrs378
Google searches for 'oprah winfrey'r=0.9419yrs378
The marriage rate in Arkansasr=0.9223yrs377
The wind speed in Austinr=0.9339yrs376
The wind speed in San Diegor=0.9239yrs374
US production of cottage cheeser=0.922yrs373
The wind speed in Nashviller=0.9139yrs373
Kerosene used in Uruguayr=0.9442yrs368
Viewership count for Days of Our Livesr=0.8747yrs368
Burglaries in Colorador=0.9738yrs367
The number of office clerks in Delawarer=0.9720yrs362
Motor vehicle thefts in Massachusettsr=0.9738yrs357
Petroluem consumption in Bulgariar=0.9342yrs356
The number of data entry keyers in Georgiar=0.9720yrs352
The distance between Neptune and the Sunr=0.948yrs350
The marriage rate in Nevadar=0.9223yrs347
Arson in New Yorkr=0.9638yrs346
Kerosene used in Cubar=0.9342yrs346
Google searches for 'desktop background'r=0.9416yrs344
The number of telemarketers in Pennsylvaniar=0.9620yrs342
The marriage rate in South Dakotar=0.9223yrs337
Burglaries in Floridar=0.9638yrs336
Petroluem consumption in Romaniar=0.9342yrs336
Air pollution in Los Angelesr=0.9443yrs336
Google searches for 'Panama Canal'r=0.9119yrs333
The number of compensation and benefits managers in Ohior=0.9819yrs332
The divorce rate in North Carolinar=0.9123yrs327
Burglaries in Minnesotar=0.9638yrs326
Kerosene used in Venezuelar=0.9342yrs326
Air pollution in New York Cityr=0.9343yrs324
Google searches for 'shook'r=0.919yrs322
The number of meter readers, utilities in Alabamar=0.9620yrs320
Burglaries in New Mexicor=0.9638yrs316
The marriage rate in Alabamar=0.9123yrs316
Kerosene used in Argentinar=0.9242yrs314
Air pollution in San Diego, Californiar=0.9543yrs314
Google searches for 'panama canal'r=0.919yrs312
The number of telemarketers in Californiar=0.9520yrs310
Burglaries in Rhode Islandr=0.9638yrs306
The divorce rate in Alabamar=0.923yrs306
Gasoline pumped in Cubar=0.9242yrs304
The number of forging machine setters, operators, and tenders, metal and plastic in Illinoisr=0.9620yrs300
Air pollution in New York Cityr=0.943yrs300
Burglaries in Texasr=0.9638yrs296
Kerosene used in Thailandr=0.9242yrs294
The number of sewing machine operators in Illinoisr=0.9620yrs290
Air pollution in Oxnard, Californiar=0.9243yrs290
Robberies in Michiganr=0.9638yrs286
Kerosene used in Hong Kongr=0.9142yrs283
The number of CEOs in Kentuckyr=0.9520yrs280
Air pollution in Riverside, Californiar=0.9243yrs280
Robberies in Oregonr=0.9638yrs276
Gasoline pumped in Somaliar=0.9142yrs273
The number of legislators in Louisianar=0.9520yrs270
Burglaries in Oklahomar=0.9538yrs264
Kerosene used in Brazilr=0.942yrs262
The number of prepress technicians and workers in Massachusettsr=0.9620yrs260
Burglaries in Oregonr=0.9538yrs254
Kerosene used in Ecuadorr=0.942yrs252
The number of postal service machine operators in New Jerseyr=0.9620yrs250
Burglaries in Virginiar=0.9538yrs244
Gasoline pumped in Francer=0.943yrs242
The number of typists in Ohior=0.9620yrs240
Motor vehicle thefts in New Jerseyr=0.9538yrs234
The number of prepress technicians and workers in Pennsylvaniar=0.9620yrs230
Motor vehicle thefts in Rhode Islandr=0.9538yrs224
Gasoline pumped in Latviar=0.9231yrs224
The number of file clerks in South Carolinar=0.9718yrs220
The number of procurement clerks in Vermontr=0.9620yrs210
Liquefied petroleum gas used in Greenlandr=0.922yrs202
The number of payroll and timekeeping clerks in Virginiar=0.9620yrs200
Petroluem consumption in Former Czechoslovakiar=0.9313yrs187
Kerosene used in Portugalr=0.8943yrs171


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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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