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

VariableCorrelationYearsHas img?
Google searches for 'report UFO sighting'r=0.9719yrsNo


Popularity of the first name Alysha also correlates with...

VariableCorrelationYearsSys. Score
Remaining Forest Cover in the Brazilian Amazonr=0.9536yrs430
Violent crime ratesr=0.9538yrs424
Physical album shipment volume in the United Statesr=0.9724yrs416
The divorce rate in Alabamar=0.9723yrs416
Motor vehicle thefts in New Yorkr=0.9638yrs416
The marriage rate in Nevadar=0.9723yrs414
Motor vehicle thefts in Pennsylvaniar=0.9538yrs414
The marriage rate in Idahor=0.9523yrs412
Liquefied petroleum gas used in Greenlandr=0.9722yrs412
Pirate attacks globallyr=0.9714yrs410
Google searches for 'learn spanish'r=0.9519yrs409
Carjackings in the USr=0.9427yrs392
The number of data entry keyers in Alabamar=0.9720yrs392
The number of telemarketers in Californiar=0.9620yrs392
The number of computer programmers in Kentuckyr=0.9620yrs392
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=0.9522yrs388
Motor vehicle thefts in Texasr=0.9538yrs384
Petroluem consumption in Uzbekistanr=0.9330yrs384
US birth rates of triplets or morer=0.9320yrs383
Gasoline pumped in Germanyr=0.932yrs382
US milk fat used to produce fluid beverage milkr=0.9422yrs379
Google searches for 'black holes'r=0.9419yrs378
Google searches for 'desktop background'r=0.9516yrs376
xkcd comics published about romancer=0.9216yrs376
Motor vehicle thefts in Texasr=0.9538yrs374
Motor vehicle thefts in Texasr=0.9538yrs364
Customer satisfaction with Verizonr=0.8628yrs364
The number of bill collectors in Marylandr=0.9620yrs362
GMO use in cottonr=0.9123yrs358
US household spending on clothingr=0.9323yrs358
US household spending on clothin for womenr=0.9323yrs358
US household spending on processed fruitsr=0.9223yrs357
AIG's stock price (AIG)r=0.8621yrs356
US household spending on clothing for menr=0.923yrs354
The divorce rate in Tennesseer=0.9523yrs353
The number of legislators in Pennsylvaniar=0.9620yrs352
Jet fuel used in Ukrainer=0.9130yrs351
Google searches for 'oprah winfrey'r=0.9319yrs346
GMO use in corn grown in South Dakotar=0.9423yrs346
Motor vehicle theftsr=0.9538yrs344
Cottage cheese consumptionr=0.9232yrs344
The marriage rate in Alabamar=0.9523yrs342
GMO use in corn grown in Texasr=0.9518yrs342
The number of postal service machine operators in Minnesotar=0.9620yrs340
U.S. intercountry adoptionsr=0.8723yrs340
Frozen yogurt consumptionr=0.9232yrs334
Google searches for 'matt parker'r=0.9119yrs333
The marriage rate in Arkansasr=0.9523yrs332
Robberies in the USr=0.9338yrs331
The number of switchboard operators in New Jerseyr=0.9620yrs330
Google searches for 'snoop dog'r=0.9119yrs323
The divorce rate in North Carolinar=0.9423yrs322
The number of sewing machine operators in Pennsylvaniar=0.9620yrs320
The number of CEOs in South Carolinar=0.9520yrs310
The marriage rate in South Dakotar=0.9423yrs310
GMO use in cotton in Tennesseer=0.9518yrs310
Portion of all US dairy skim-solids allocated to the production of frozen dairy productsr=0.9422yrs306
Gasoline pumped in Latviar=0.8731yrs306
The number of furniture finishers in Virginiar=0.9620yrs300
The marriage rate in Tennesseer=0.9423yrs300
GMO use in cotton in North Carolinar=0.9223yrs300
Petroluem consumption in Ukrainer=0.8830yrs296
Motor vehicle thefts in New Jerseyr=0.9538yrs294
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milkr=0.9122yrs292
The number of hydrologists in Wisconsinr=0.9620yrs290
The marriage rate in Wyomingr=0.9423yrs290
Petroluem consumption in Azerbaijanr=0.8730yrs285
Burglaries in District of Columbiar=0.9438yrs282
The number of switchboard operators in Wisconsinr=0.9620yrs280
Google searches for 'E.T. phone home'r=0.8919yrs280
The marriage rate in Virginiar=0.9223yrs277
Gasoline pumped in Lithuaniar=0.8531yrs273
Robberies in Illinoisr=0.9438yrs272
The number of compensation and benefits managers in Kansasr=0.9719yrs270
The divorce rate in Kentuckyr=0.9123yrs267
Robberies in Texasr=0.9438yrs262
The number of compensation and benefits managers in Kentuckyr=0.9719yrs260
The divorce rate in Mississippir=0.9123yrs257
Robberies in New Yorkr=0.9338yrs251
The number of compensation and benefits managers in Mainer=0.9719yrs250
The divorce rate in Wyomingr=0.9123yrs247
The number of compensation and benefits managers in Michiganr=0.9719yrs240
Arson in Texasr=0.9238yrs240
The divorce rate in Ohior=0.923yrs236
The number of compensation and benefits managers in Pennsylvaniar=0.9719yrs230
Arson in Wyomingr=0.9238yrs230
The marriage rate in Ohior=0.923yrs224
The number of compensation and benefits managers in South Carolinar=0.9719yrs220
Motor vehicle thefts in Rhode Islandr=0.9238yrs220
Motor vehicle thefts in Floridar=0.9238yrs210
The number of file clerks in Alabamar=0.9619yrs209
Robberies in Missourir=0.9238yrs200
The number of prepress technicians and workers in Illinoisr=0.9520yrs198
Robberies in Connecticutr=0.9238yrs190
The divorce rate in Oregonr=0.923yrs186
The marriage rate in West Virginiar=0.923yrs174
The divorce rate in Floridar=0.8923yrs164
The divorce rate in Washingtonr=0.8923yrs154


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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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