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

VariableCorrelationYearsSys. Score
Violent crime ratesr=0.9638yrs456
Robberies in the USr=0.9638yrs436
Arson in United Statesr=0.9538yrs434
Remaining Forest Cover in the Brazilian Amazonr=0.9636yrs432
Carjackings in the USr=0.9527yrs423
The divorce rate in Alabamar=0.9723yrs416
Physical album shipment volume in the United Statesr=0.9624yrs414
The marriage rate in Nevadar=0.9723yrs414
The marriage rate in Tennesseer=0.9623yrs413
Google searches for 'learn spanish'r=0.9619yrs410
The wind speed in Austinr=0.9639yrs410
Gasoline pumped in Kosovor=0.9614yrs402
Kerosene used in Pakistanr=0.9542yrs399
Kerosene used in Egyptr=0.9442yrs398
The number of compensation and benefits managers in Tennesseer=0.9919yrs394
The number of typists in Washingtonr=0.9820yrs393
The number of typists in Floridar=0.9720yrs392
US household spending on booksr=0.9523yrs392
US average milk-fat content of frozen dairy productsr=0.9722yrs390
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.9522yrs388
The divorce rate in Tennesseer=0.9523yrs383
US birth rates of triplets or morer=0.9320yrs383
Google searches for 'report UFO sighting'r=0.9219yrs380
US milk fat used to produce fluid beverage milkr=0.9422yrs379
Google searches for 'shook'r=0.9519yrs379
Burglaries in District of Columbiar=0.9838yrs378
The wind speed in San Diegor=0.9439yrs378
Google searches for 'oprah winfrey'r=0.9319yrs376
GMO use in corn grown in Texasr=0.9618yrs374
US Hospital Occupancy Rater=0.9118yrs370
Motor vehicle thefts in New Jerseyr=0.9838yrs368
NASA's budget as a percentage of the total US Federal Budgetr=0.8548yrs368
Customer satisfaction with Verizonr=0.8828yrs368
Gasoline pumped in Austriar=0.9143yrs364
Customer satisfaction with Frontier Communicationsr=0.8628yrs364
The number of typists in Iowar=0.9720yrs362
Air pollution in Santa Maria, Californiar=0.9343yrs362
Air pollution in Santa Maria, Californiar=0.9242yrs359
Motor vehicle thefts in New Yorkr=0.9838yrs358
US household spending on processed fruitsr=0.9223yrs357
US household spending on clothingr=0.9223yrs357
US household spending on clothing for menr=0.9123yrs356
US household spending on clothin for womenr=0.9123yrs356
Gasoline pumped in Francer=0.9143yrs354
The number of postal service machine operators in Marylandr=0.9720yrs352
Robberies in New Yorkr=0.9838yrs348
Frozen yogurt consumptionr=0.9432yrs346
Google searches for 'black holes'r=0.9319yrs346
Petroluem consumption in North Korear=0.9242yrs344
The number of CEOs in Ohior=0.9620yrs342
The marriage rate in Arkansasr=0.9523yrs342
Burglaries in Connecticutr=0.9738yrs337
Kerosene used in Argentinar=0.9142yrs333
The number of switchboard operators in Wisconsinr=0.9720yrs332
Google searches for 'desktop background'r=0.9216yrs332
The marriage rate in Alabamar=0.9423yrs330
Motor vehicle thefts in Massachusettsr=0.9738yrs327
Kerosene used in North Korear=0.9142yrs323
The number of prepress technicians and workers in Wisconsinr=0.9720yrs322
Google searches for 'snoop dog'r=0.919yrs322
The marriage rate in Idahor=0.9423yrs320
Portion of all US dairy skim-solids allocated to the production of frozen dairy productsr=0.9522yrs318
Burglaries in New Yorkr=0.9638yrs316
The number of painting, coating, and decorating workers in Wisconsinr=0.9720yrs312
Kerosene used in Thailandr=0.942yrs312
The marriage rate in Ohior=0.9423yrs310
Motor vehicle thefts in Texasr=0.9638yrs306
The number of typists in Alabamar=0.9620yrs300
The marriage rate in Kentuckyr=0.9323yrs298
Motor vehicle thefts in Texasr=0.9638yrs296
The number of postal service machine operators in Connecticutr=0.9620yrs290
Jet fuel used in Ukrainer=0.930yrs290
The marriage rate in South Carolinar=0.9323yrs288
Motor vehicle thefts in Texasr=0.9638yrs286
The number of proofreaders in Connecticutr=0.9620yrs280
The marriage rate in Virginiar=0.9323yrs278
Motor vehicle thefts in Illinoisr=0.9638yrs276
Geothermal power generated in Austriar=0.9317yrs274
The number of advertising and promotions managers in District of Columbiar=0.9620yrs270
The divorce rate in North Carolinar=0.9223yrs268
Robberies in Californiar=0.9638yrs266
Liquefied petroleum gas used in Greenlandr=0.9222yrs264
The number of pipelayers in Indianar=0.9620yrs260
The marriage rate in South Dakotar=0.9223yrs257
Burglaries in New Jerseyr=0.9538yrs254
The number of postal service machine operators in Minnesotar=0.9620yrs250
The marriage rate in Wyomingr=0.9223yrs247
Robberies in Illinoisr=0.9538yrs244
The number of typists in New Yorkr=0.9620yrs240
Gasoline pumped in Belgiumr=0.8743yrs238
The divorce rate in Kentuckyr=0.9123yrs237
Robberies in Washingtonr=0.9538yrs234
The number of sewing machine operators in Pennsylvaniar=0.9620yrs230
Kerosene used in Cubar=0.8842yrs228
The marriage rate in Arizonar=0.9123yrs226
Robberies in Connecticutr=0.9538yrs224
The number of advertising and promotions managers in South Carolinar=0.9620yrs220
Gasoline pumped in North Korear=0.8742yrs217
The divorce rate in Wyomingr=0.923yrs216
The number of compensation and benefits managers in Idahor=0.9719yrs210
The number of compensation and benefits managers in Iowar=0.9719yrs200


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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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