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

VariableCorrelationYearsHas img?
Burglary rates in the USr=0.9538yrsNo
Google searches for 'easy bake oven'r=0.8615yrsNo
Google searches for 'how to fake your own death'r=0.7819yrsNo



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

VariableCorrelationYearsSys. Score
Remaining Forest Cover in the Brazilian Amazonr=0.9636yrs432
Kerosene used in Argentinar=0.9742yrs432
Gasoline pumped in Cubar=0.9642yrs430
Kerosene used in Thailandr=0.9642yrs430
Burglaries in New Yorkr=0.9838yrs418
Burglaries in Connecticutr=0.9838yrs418
The wind speed in Austinr=0.9639yrs410
Viewership count for Days of Our Livesr=0.9347yrs407
Patents granted to Toshibar=0.9812yrs405
Kerosene used in Venezuelar=0.9642yrs400
Customer satisfaction with Frontier Communicationsr=0.928yrs400
Air pollution in Oxnard, Californiar=0.9741yrs396
Air pollution in San Diego, Californiar=0.9643yrs396
The number of computer programmers in Georgiar=0.9820yrs394
The number of office clerks in South Dakotar=0.9620yrs390
The distance between Neptune and the Sunr=0.9548yrs388
The distance between Neptune and Earthr=0.9548yrs388
The distance between Neptune and the moonr=0.9548yrs388
Burglaries in Rhode Islandr=0.9738yrs387
The number of secretaries in Arkansasr=0.9713yrs386
Bachelor's degrees awarded in Theology and religious vocationsr=0.9710yrs384
Culinary Associates degrees awardedr=0.9611yrs382
Burglaries in Californiar=0.9738yrs377
The divorce rate in New Hampshirer=0.9123yrs377
Frozen yogurt consumptionr=0.9432yrs376
The marriage rate in Minnesotar=0.9123yrs376
The marriage rate in Missourir=0.9123yrs376
The wind speed in San Diegor=0.9139yrs373
Air pollution in Los Angelesr=0.9543yrs368
Burglaries in Floridar=0.9638yrs366
Kerosene used in Cubar=0.9542yrs359
Burglaries in Montanar=0.9638yrs356
The distance between Neptune and Mercuryr=0.9448yrs356
The number of secretaries in Colorador=0.9713yrs356
Master's degrees awarded in gender studiesr=0.9610yrs353
Gasoline pumped in Bulgariar=0.9442yrs348
Burglaries in New Jerseyr=0.9638yrs346
The number of executive administrative assistants in Iowar=0.9713yrs344
Academy Awards Ceremony Audience Sizer=0.8923yrs342
Kerosene used in Egyptr=0.9442yrs338
Burglaries in New Mexicor=0.9638yrs336
Air pollution in Los Angelesr=0.9443yrs336
The number of secretaries in Iowar=0.9513yrs333
Gasoline pumped in Francer=0.9343yrs327
Motor vehicle thefts in Massachusettsr=0.9638yrs326
Air pollution in San Diego, Californiar=0.9543yrs324
The number of orderlies in Tennesseer=0.9711yrs322
Robberies in Oregonr=0.9638yrs316
Gasoline pumped in Somaliar=0.9342yrs316
The divorce rate in South Carolinar=0.8923yrs314
Air pollution in Oxnard, Californiar=0.9443yrs313
The number of labor relations specialists in Arkansasr=0.9611yrs311
Kerosene used in Turkiyer=0.9243yrs306
Arson in New Yorkr=0.9538yrs304
Carjackings in the USr=0.9227yrs303
The marriage rate in Delawarer=0.8923yrs302
The number of labor relations specialists in Iowar=0.9611yrs301
Air pollution in Riverside, Californiar=0.9243yrs300
Kerosene used in Uruguayr=0.9342yrs296
Burglaries in Minnesotar=0.9538yrs294
The marriage rate in North Carolinar=0.8923yrs292
The number of special education teachers in North Carolinar=0.9611yrs291
Air pollution in Steamboat Springs, Colorador=0.9238yrs285
Burglaries in Oklahomar=0.9538yrs284
Kerosene used in Pakistanr=0.9242yrs284
The marriage rate in Ohior=0.8923yrs282
Burglaries in Oregonr=0.9538yrs274
Average number of milk cows in the United Statesr=0.8543yrs274
Kerosene used in Brazilr=0.9142yrs273
The marriage rate in Texasr=0.8923yrs272
Burglaries in Virginiar=0.9538yrs264
Kerosene used in Ecuadorr=0.9142yrs263
The divorce rate in Illinoisr=0.8823yrs262
The number of CEOs in North Dakotar=0.9520yrs260
Petroluem consumption in Romaniar=0.9142yrs253
The marriage rate in South Carolinar=0.8823yrs251
The number of office clerks in Kansasr=0.9520yrs248
Arson in United Statesr=0.9438yrs242
Kerosene used in Mexicor=0.9140yrs241
The divorce rate in Arizonar=0.8723yrs241
The number of receptionists in Montanar=0.9320yrs237
The divorce rate in Ohior=0.8723yrs231
The number of computer programmers in Nebraskar=0.9320yrs227
The divorce rate in Tennesseer=0.8723yrs221
The number of maintenance workers, machinery in Washingtonr=0.9420yrs217
The divorce rate in Washingtonr=0.8723yrs211
The number of advertising and promotions managers in Hawaiir=0.9320yrs206
Burglaries in Colorador=0.9538yrs204
Petroluem consumption in Cubar=0.942yrs202
The marriage rate in Kentuckyr=0.8723yrs200
The number of computer programmers in Minnesotar=0.9220yrs196
Robberies in Michiganr=0.9538yrs194
Gasoline pumped in Austriar=0.8843yrs190
The marriage rate in Louisianar=0.8723yrs190
The number of CEOs in New Yorkr=0.9220yrs186
Petroluem consumption in Bulgariar=0.8942yrs180
The marriage rate in South Dakotar=0.8723yrs180
The number of kindergarten teachers in Ohior=0.9320yrs176
Kerosene used in North Korear=0.8942yrs170
The number of cooks, short order in South Carolinar=0.9320yrs166


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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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