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

VariableCorrelationYearsSys. Score
Remaining Forest Cover in the Brazilian Amazonr=0.9736yrs434
Burglary rates in the USr=0.9538yrs434
Kerosene used in Mexicor=0.9540yrs427
US birth rates of triplets or morer=0.9820yrs420
Average number of milk cows in the United Statesr=0.9243yrs420
The divorce rate in North Carolinar=0.9823yrs418
Burglaries in Colorador=0.9838yrs418
Burglaries in Oregonr=0.9738yrs417
Physical album shipment volume in the United Statesr=0.9624yrs414
The marriage rate in Idahor=0.9723yrs414
The divorce rate in Kentuckyr=0.9623yrs414
Cottage cheese consumptionr=0.9632yrs410
Google searches for 'desktop background'r=0.9816yrs410
United States music album salesr=0.9616yrs406
GMO use in cottonr=0.9723yrs398
Gasoline pumped in Bulgariar=0.9442yrs398
Kerosene used in Australiar=0.9343yrs397
The number of legislators in Pennsylvaniar=0.9820yrs394
The number of prepress technicians and workers in Arkansasr=0.9820yrs393
The number of telemarketers in Californiar=0.9720yrs393
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.9822yrs392
Burglaries in Californiar=0.9738yrs387
The divorce rate in Wyomingr=0.9623yrs384
Bachelor's degrees awarded in gender studiesr=0.9610yrs383
Associates degrees awarded in Business and managementr=0.9611yrs382
Cigarette Smoking Rate for US adultsr=0.9521yrs380
Google searches for 'report UFO sighting'r=0.9219yrs380
The distance between Neptune and the Sunr=0.948yrs380
The distance between Neptune and Earthr=0.948yrs380
The distance between Neptune and Mercuryr=0.948yrs380
GMO use in cotton in Texasr=0.9723yrs378
U.S. intercountry adoptionsr=0.9223yrs377
GMO use in corn grown in Texasr=0.9818yrs377
Burglaries in Michiganr=0.9638yrs376
Google searches for 'oprah winfrey'r=0.9319yrs376
xkcd comics published about romancer=0.9216yrs376
The marriage rate in Alabamar=0.9623yrs373
Kerosene used in Turkiyer=0.9343yrs367
Burglaries in Minnesotar=0.9638yrs366
The marriage rate in Nevadar=0.9623yrs363
The number of bill collectors in Colorador=0.9720yrs363
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milkr=0.9822yrs362
Burglaries in New Yorkr=0.9638yrs356
Petroluem consumption in Bulgariar=0.9342yrs356
The number of computer programmers in Michiganr=0.9720yrs353
The marriage rate in Arkansasr=0.9523yrs352
Portion of all US dairy skim-solids allocated to the production of frozen dairy productsr=0.9722yrs350
The distance between Neptune and the moonr=0.948yrs350
Burglaries in Oklahomar=0.9638yrs346
The number of postal service machine operators in Nebraskar=0.9820yrs343
Kerosene used in Ecuadorr=0.9142yrs343
US average milk-fat content of frozen dairy productsr=0.9622yrs339
Robberies in Michiganr=0.9638yrs336
The number of typists in New Jerseyr=0.9820yrs333
Kerosene used in Hong Kongr=0.9142yrs333
Robberies in Oregonr=0.9638yrs326
The number of telemarketers in New Yorkr=0.9720yrs323
Gasoline pumped in Somaliar=0.9142yrs323
Milk consumptionr=0.9532yrs320
Burglaries in Arizonar=0.9538yrs314
The number of switchboard operators in Wisconsinr=0.9820yrs313
Kerosene used in Venezuelar=0.9142yrs313
The marriage rate in Wyomingr=0.9523yrs312
Burglaries in Rhode Islandr=0.9538yrs304
The number of switchboard operators in Alabamar=0.9720yrs302
Kerosene used in Boliviar=0.942yrs302
The divorce rate in Alabamar=0.9423yrs302
Burglaries in Connecticutr=0.9538yrs294
The number of file clerks in Alabamar=0.9819yrs292
Kerosene used in Uruguayr=0.942yrs292
The divorce rate in Mississippir=0.9423yrs292
Motor vehicle thefts in Massachusettsr=0.9538yrs284
The number of postal service machine operators in Arkansasr=0.9720yrs282
The divorce rate in Washingtonr=0.9423yrs282
Gasoline pumped in Latviar=0.9331yrs275
The number of human resources assistants in District of Columbiar=0.9720yrs272
The marriage rate in South Dakotar=0.9423yrs270
Arson in United Statesr=0.9538yrs264
Gasoline pumped in Germanyr=0.9132yrs263
The number of postal service machine operators in Idahor=0.9720yrs262
The divorce rate in Arkansasr=0.9323yrs260
The number of switchboard operators in Iowar=0.9720yrs252
Petroluem consumption in Germanyr=0.932yrs252
The divorce rate in Floridar=0.9323yrs250
The number of postal service machine operators in Iowar=0.9720yrs242
The divorce rate in Oregonr=0.9323yrs240
Liquefied petroleum gas used in Greenlandr=0.9422yrs238
Burglaries in Floridar=0.9538yrs234
The number of social workers in Louisianar=0.9720yrs232
The divorce rate in Tennesseer=0.9323yrs230
Burglaries in Nevadar=0.9538yrs224
The number of postmasters in Marylandr=0.9720yrs222
The divorce rate in Virginiar=0.9323yrs220
Burglaries in New Mexicor=0.9538yrs214
The number of bill collectors in Marylandr=0.9620yrs212
The divorce rate in Idahor=0.9223yrs208
Burglaries in Texasr=0.9538yrs204
The number of postal service machine operators in Mississippir=0.9720yrs202
The divorce rate in Mainer=0.9223yrs198
Burglaries in Virginiar=0.9538yrs194
The divorce rate in Ohior=0.9223yrs188


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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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