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

VariableCorrelationYearsHas img?
AIG's stock price (AIG)r=0.9621yrsNo
Lloyds Banking Group's stock price (LYG)r=0.9521yrsYes!
Carjackings in the USr=0.9527yrsNo
Google searches for 'snoop dog'r=0.9419yrsNo
Frozen yogurt consumptionr=0.932yrsNo
xkcd comics published about nostalgiar=0.5116yrsNo



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

VariableCorrelationYearsSys. Score
Arson in United Statesr=0.9638yrs436
Remaining Forest Cover in the Brazilian Amazonr=0.9736yrs434
Citigroup's stock price (C)r=0.9621yrs431
The distance between Neptune and Mercuryr=0.9648yrs420
The distance between Neptune and Earthr=0.9548yrs418
The distance between Neptune and the moonr=0.9548yrs418
Average number of milk cows in the United Statesr=0.943yrs417
Burglaries in New Yorkr=0.9738yrs417
Burglaries in Californiar=0.9738yrs417
Physical album shipment volume in the United Statesr=0.9724yrs416
The marriage rate in Wyomingr=0.9723yrs414
The marriage rate in Idahor=0.9623yrs413
Google searches for 'learn spanish'r=0.9619yrs410
Viewership count for Days of Our Livesr=0.9147yrs404
Gasoline pumped in Bulgariar=0.9442yrs398
Kerosene used in Uruguayr=0.9442yrs398
Kerosene used in Turkiyer=0.9343yrs397
Air pollution in Oxnard, Californiar=0.9641yrs394
Number of edits to the Wikipedia article for Thanksgivingr=0.9116yrs393
The number of telephone operators in Missourir=0.9720yrs392
The number of carpenters in Ohior=0.9720yrs392
The number of tapers in Ohior=0.9720yrs392
Burglaries in Colorador=0.9738yrs387
The marriage rate in Nevadar=0.9423yrs380
Motor vehicle thefts in Massachusettsr=0.9738yrs377
U.S. intercountry adoptionsr=0.9123yrs376
Google searches for 'black holes'r=0.9319yrs376
The wind speed in Austinr=0.9339yrs376
Cottage cheese consumptionr=0.9232yrs374
US milk fat used to produce fluid beverage milkr=0.9122yrs374
The wind speed in Nashviller=0.9139yrs373
The wind speed in San Diegor=0.939yrs372
Burglaries in Minnesotar=0.9638yrs366
Kerosene used in Cubar=0.9342yrs366
Air pollution in Los Angelesr=0.9343yrs364
Air pollution in New York Cityr=0.9343yrs364
The number of tapers in Illinoisr=0.9620yrs360
The distance between Neptune and the Sunr=0.9548yrs358
Burglaries in Oregonr=0.9638yrs356
Kerosene used in Mexicor=0.9440yrs356
The number of sewing machine operators in Illinoisr=0.9620yrs350
The divorce rate in Alabamar=0.9223yrs348
Burglaries in Connecticutr=0.9638yrs346
Petroluem consumption in Bulgariar=0.9242yrs344
Google searches for 'Panama Canal'r=0.9219yrs344
The number of payroll and timekeeping clerks in Michiganr=0.9620yrs340
The marriage rate in Arkansasr=0.9223yrs337
Robberies in Michiganr=0.9638yrs336
Gasoline pumped in Cubar=0.9242yrs334
Air pollution in Los Angelesr=0.9243yrs333
Google searches for 'panama canal'r=0.919yrs332
The number of postal service machine operators in New Jerseyr=0.9620yrs330
Barclays' stock price (BCS)r=0.8821yrs329
The marriage rate in Virginiar=0.9223yrs327
Robberies in Oregonr=0.9638yrs326
Gasoline pumped in Francer=0.9143yrs324
Air pollution in New York Cityr=0.9143yrs322
The number of soil and plant scientists in Utahr=0.9718yrs320
The divorce rate in North Carolinar=0.9123yrs317
Arson in Californiar=0.9538yrs314
Kerosene used in Thailandr=0.9242yrs314
Air pollution in Oxnard, Californiar=0.9343yrs312
The number of compensation and benefits managers in Idahor=0.9619yrs309
The marriage rate in Alabamar=0.9123yrs306
Arson in Colorador=0.9538yrs304
Kerosene used in Venezuelar=0.9242yrs304
Air pollution in San Diego, Californiar=0.9243yrs300
The number of compensation and benefits managers in Indianar=0.9619yrs299
The marriage rate in South Dakotar=0.9123yrs296
Burglaries in Alaskar=0.9538yrs294
Kerosene used in Ecuadorr=0.9142yrs293
The number of compensation and benefits managers in Ohior=0.9619yrs289
Kerosene used in Hong Kongr=0.9142yrs283
The number of sewing machine operators in Alabamar=0.9520yrs278
Petroluem consumption in Romaniar=0.9142yrs273
Burglary rates in the USr=0.9438yrs272
The number of postal service machine operators in Californiar=0.9520yrs268
Kerosene used in Argentinar=0.942yrs262
The number of sewing machine operators in Hawaiir=0.9520yrs258
Gasoline pumped in Somaliar=0.942yrs252
The number of carpenters in Kansasr=0.9520yrs248
The number of millwrights in Michiganr=0.9520yrs238
Arson in Nevadar=0.9538yrs234
Gasoline pumped in Germanyr=0.9132yrs233
The number of postal service machine operators in New Yorkr=0.9520yrs228
Arson in New Jerseyr=0.9538yrs224
The number of brickmasons in South Carolinar=0.9520yrs218
Liquefied petroleum gas used in Greenlandr=0.9422yrs218
Arson in New Yorkr=0.9538yrs214
The number of postal service machine operators in District of Columbiar=0.9519yrs208
Burglaries in Arizonar=0.9538yrs204
The number of compensation and benefits managers in Missourir=0.9519yrs198
Burglaries in New Jerseyr=0.9538yrs194
Kerosene used in Australiar=0.8943yrs191
Kerosene used in United Statesr=0.8943yrs181
Kerosene used in Brazilr=0.8942yrs170


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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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