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

VariableCorrelationYearsHas img?
Pirate attacks globallyr=0.9614yrsNo
Google searches for 'black holes'r=0.9619yrsNo


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

VariableCorrelationYearsSys. Score
Arson in United Statesr=0.9638yrs436
Remaining Forest Cover in the Brazilian Amazonr=0.9736yrs434
Kerosene used in Venezuelar=0.9542yrs429
Carjackings in the USr=0.9727yrs426
The distance between Neptune and Mercuryr=0.9648yrs420
Burglaries in New Yorkr=0.9938yrs420
Average number of milk cows in the United Statesr=0.943yrs417
The marriage rate in Nevadar=0.9823yrs416
The marriage rate in Tennesseer=0.9823yrs416
Physical album shipment volume in the United Statesr=0.9624yrs414
Google searches for 'learn spanish'r=0.9819yrs414
The divorce rate in Alabamar=0.9623yrs414
Google searches for 'desktop background'r=0.9716yrs409
The wind speed in Austinr=0.9539yrs409
United States music album salesr=0.9516yrs404
Viewership count for Days of Our Livesr=0.947yrs402
Kerosene used in Argentinar=0.9442yrs398
Gasoline pumped in Bulgariar=0.9442yrs398
US household spending on booksr=0.9823yrs396
Air pollution in Oxnard, Californiar=0.9741yrs396
The number of typists in Floridar=0.9920yrs394
The number of typists in Iowar=0.9920yrs394
The number of CEOs in Ohior=0.9820yrs394
Motor vehicle thefts in Massachusettsr=0.9938yrs390
US average milk-fat content of frozen dairy productsr=0.9622yrs389
The distance between Neptune and the Sunr=0.9448yrs386
The distance between Neptune and Earthr=0.9448yrs386
The divorce rate in Tennesseer=0.9623yrs384
US birth rates of triplets or morer=0.9420yrs384
Associates degrees awarded in Business and managementr=0.9611yrs382
Google searches for 'report UFO sighting'r=0.9319yrs382
xkcd comics published about romancer=0.9516yrs380
Google searches for 'snoop dog'r=0.9519yrs379
Arson in New Yorkr=0.9838yrs378
US milk fat used to produce fluid beverage milkr=0.9322yrs378
GMO use in corn grown in Texasr=0.9718yrs376
The wind speed in San Diegor=0.9339yrs376
The marriage rate in Ohior=0.9523yrs372
Burglaries in Californiar=0.9838yrs368
Kerosene used in Cubar=0.9442yrs368
The number of compensation and benefits managers in Indianar=0.9919yrs364
The marriage rate in South Carolinar=0.9523yrs362
Burglaries in Connecticutr=0.9838yrs358
Kerosene used in Thailandr=0.9442yrs358
The distance between Neptune and the moonr=0.9448yrs356
The number of compensation and benefits managers in Pennsylvaniar=0.9919yrs354
Kerosene used in Turkiyer=0.9443yrs348
Robberies in New Yorkr=0.9738yrs347
The number of telemarketers in Californiar=0.9720yrs343
Kerosene used in Uruguayr=0.9442yrs338
Google searches for 'oprah winfrey'r=0.9419yrs338
Robberies in Oregonr=0.9738yrs337
The number of file clerks in Georgiar=0.9820yrs333
Burglaries in Colorador=0.9638yrs326
Gasoline pumped in Cubar=0.9342yrs326
The number of prepress technicians and workers in Illinoisr=0.9820yrs323
The marriage rate in Arkansasr=0.9523yrs322
Motor vehicle thefts in New Jerseyr=0.9638yrs316
Gasoline pumped in Francer=0.9243yrs316
The number of file clerks in Michiganr=0.9820yrs313
The marriage rate in Idahor=0.9523yrs312
Kerosene used in Mexicor=0.9440yrs306
Arson in Californiar=0.9538yrs304
The number of typists in Ohior=0.9820yrs303
The marriage rate in Arizonar=0.9423yrs300
Arson in Colorador=0.9538yrs294
Kerosene used in Ecuadorr=0.9242yrs294
The number of sewing machine operators in Pennsylvaniar=0.9820yrs293
The marriage rate in Alabamar=0.9323yrs288
Burglaries in Floridar=0.9538yrs284
The number of prepress technicians and workers in Wisconsinr=0.9820yrs283
Petroluem consumption in Bulgariar=0.9142yrs283
The marriage rate in South Dakotar=0.9323yrs278
Burglaries in New Jerseyr=0.9538yrs274
Kerosene used in Hong Kongr=0.9142yrs273
The number of meter readers, utilities in Alabamar=0.9720yrs272
The marriage rate in Virginiar=0.9323yrs268
Burglaries in Rhode Islandr=0.9538yrs264
Petroluem consumption in Romaniar=0.9142yrs263
The number of brickmasons in Alabamar=0.9720yrs262
The marriage rate in Wyomingr=0.9323yrs258
Motor vehicle thefts in Oklahomar=0.9538yrs254
Gasoline pumped in Somaliar=0.9142yrs253
The number of computer programmers in Colorador=0.9620yrs252
The divorce rate in North Carolinar=0.9223yrs248
Robberies in Michiganr=0.9538yrs244
The number of postal service machine operators in Connecticutr=0.9720yrs242
Kerosene used in Brazilr=0.942yrs242
The marriage rate in Kentuckyr=0.9223yrs237
The number of advertising and promotions managers in District of Columbiar=0.9720yrs232
Burglary rates in the USr=0.9438yrs222
The number of human resources assistants in Illinoisr=0.9720yrs222
Jet fuel used in Ukrainer=0.9230yrs222
The number of postal service machine operators in Illinoisr=0.9720yrs212
Petroluem consumption in Uzbekistanr=0.9230yrs212
Robberies in the USr=0.9138yrs208
The number of postal service machine operators in Indianar=0.9720yrs202
Petroluem consumption in Azerbaijanr=0.9130yrs201
Liquefied petroleum gas used in Greenlandr=0.9322yrs186


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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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