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

VariableCorrelationYearsSys. Score
Arson in United Statesr=0.9738yrs437
Remaining Forest Cover in the Brazilian Amazonr=0.9936yrs436
Burglary rates in the USr=0.9538yrs434
Kerosene used in Mexicor=0.9540yrs427
The distance between Neptune and Mercuryr=0.9548yrs418
Burglaries in New Yorkr=0.9838yrs418
Physical album shipment volume in the United Statesr=0.9824yrs417
The marriage rate in Nevadar=0.9823yrs416
The divorce rate in Alabamar=0.9623yrs414
The marriage rate in Idahor=0.9623yrs413
Google searches for 'learn spanish'r=0.9619yrs410
Kerosene used in Turkiyer=0.9543yrs400
Kerosene used in Uruguayr=0.9542yrs399
AIG's stock price (AIG)r=0.9421yrs398
Lloyds Banking Group's stock price (LYG)r=0.9321yrs396
Citigroup's stock price (C)r=0.9121yrs394
The number of postal service machine operators in New Jerseyr=0.9820yrs393
The number of CEOs in Alabamar=0.9620yrs392
The number of brickmasons in Alabamar=0.9720yrs392
US household spending on booksr=0.9523yrs392
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.9622yrs389
US average milk-fat content of frozen dairy productsr=0.9622yrs389
Motor vehicle thefts in Massachusettsr=0.9838yrs388
Average number of milk cows in the United Statesr=0.8943yrs386
The distance between Neptune and the Sunr=0.9448yrs386
The distance between Neptune and Earthr=0.9448yrs386
The marriage rate in Tennesseer=0.9623yrs383
US birth rates of triplets or morer=0.9320yrs383
The wind speed in Austinr=0.9439yrs378
Arson in Californiar=0.9738yrs377
Google searches for 'black holes'r=0.9319yrs376
The marriage rate in Wyomingr=0.9623yrs373
The wind speed in San Diegor=0.9139yrs373
Google searches for 'snoop dog'r=0.919yrs372
Viewership count for Days of Our Livesr=0.8947yrs371
Burglaries in Californiar=0.9738yrs367
Gasoline pumped in Bulgariar=0.9342yrs366
Air pollution in Los Angelesr=0.9343yrs364
Air pollution in Los Angelesr=0.9343yrs364
Air pollution in New York Cityr=0.9243yrs363
The number of telemarketers in Californiar=0.9620yrs362
Burglaries in Colorador=0.9738yrs357
Kerosene used in Portugalr=0.9243yrs356
The distance between Neptune and the moonr=0.9448yrs356
The number of postal service machine operators in Californiar=0.9720yrs352
US milk fat used to produce fluid beverage milkr=0.9422yrs349
Burglaries in Connecticutr=0.9738yrs347
Kerosene used in United Statesr=0.9143yrs344
The number of postal service machine operators in Colorador=0.9720yrs342
Robberies in Oregonr=0.9738yrs337
Milk consumptionr=0.9332yrs336
Petroluem consumption in Bulgariar=0.9142yrs333
The number of postal service machine operators in Connecticutr=0.9720yrs332
The marriage rate in Arkansasr=0.9523yrs332
Air pollution in Oxnard, Californiar=0.9541yrs332
Arson in New Jerseyr=0.9638yrs326
Cottage cheese consumptionr=0.9232yrs324
Kerosene used in Thailandr=0.9142yrs323
The number of data entry keyers in District of Columbiar=0.9720yrs322
The divorce rate in Tennesseer=0.9423yrs322
Burglaries in Floridar=0.9638yrs316
Frozen yogurt consumptionr=0.9232yrs314
Kerosene used in Venezuelar=0.9142yrs313
The number of file clerks in Illinoisr=0.9720yrs312
The divorce rate in North Carolinar=0.9323yrs310
Burglaries in Minnesotar=0.9638yrs306
The number of postal service machine operators in Illinoisr=0.9720yrs302
Kerosene used in Boliviar=0.942yrs302
The marriage rate in Alabamar=0.9323yrs298
Burglaries in Arizonar=0.9638yrs296
The number of prepress technicians and workers in Illinoisr=0.9720yrs292
Kerosene used in Ecuadorr=0.942yrs292
Carjackings in the USr=0.9327yrs290
The marriage rate in Arizonar=0.9323yrs288
Burglaries in New Jerseyr=0.9638yrs286
The number of postal service machine operators in Kansasr=0.9720yrs282
Gasoline pumped in Germanyr=0.9532yrs279
The marriage rate in Ohior=0.9323yrs278
Burglaries in Oregonr=0.9638yrs276
The number of postal service machine operators in Louisianar=0.9720yrs272
The marriage rate in South Carolinar=0.9323yrs268
Burglaries in Virginiar=0.9638yrs266
Petroluem consumption in Uzbekistanr=0.9330yrs264
The number of postal service machine operators in Minnesotar=0.9720yrs262
The marriage rate in South Dakotar=0.9323yrs258
Robberies in Michiganr=0.9638yrs256
Petroluem consumption in Germanyr=0.9132yrs253
The number of tapers in Missourir=0.9720yrs252
The marriage rate in Virginiar=0.9323yrs248
Arson in Nevadar=0.9538yrs244
The number of telemarketers in New Jerseyr=0.9620yrs242
Liquefied petroleum gas used in Greenlandr=0.9522yrs239
The marriage rate in Kentuckyr=0.9123yrs236
Arson in Colorador=0.9538yrs234
The number of postal service machine operators in New Yorkr=0.9720yrs232
The divorce rate in Kentuckyr=0.923yrs226
Burglaries in Illinoisr=0.9538yrs224
The number of postal service machine operators in Ohior=0.9720yrs222
The divorce rate in Wyomingr=0.923yrs216
The number of brickmasons in South Carolinar=0.9720yrs212
The number of postal service machine operators in Texasr=0.9720yrs202


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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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