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

VariableCorrelationYearsSys. Score
Arson in United Statesr=0.9638yrs436
Burglary rates in the USr=0.9638yrs436
Remaining Forest Cover in the Brazilian Amazonr=0.9736yrs434
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
Burglaries in Floridar=0.9738yrs417
The marriage rate in Alabamar=0.9523yrs412
Viewership count for Days of Our Livesr=0.9147yrs404
Gasoline pumped in Bulgariar=0.9442yrs398
Kerosene used in Turkiyer=0.9443yrs398
Kerosene used in Uruguayr=0.9442yrs398
Air pollution in Oxnard, Californiar=0.9641yrs394
The number of library assistants in North Carolinar=0.9520yrs388
The number of data entry keyers in Ohior=0.9520yrs388
The number of payroll and timekeeping clerks in Wisconsinr=0.9520yrs388
Burglaries in New Mexicor=0.9738yrs387
Votes for the Republican Presidential candidate in Washington, D.C.r=0.9612yrs385
Average number of milk cows in the United Statesr=0.8743yrs382
US birth rates of triplets or morer=0.9120yrs380
The marriage rate in Idahor=0.9423yrs380
The marriage rate in Wyomingr=0.9423yrs380
The wind speed in Austinr=0.9539yrs379
Physical album shipment volume in the United Statesr=0.9224yrs378
Burglaries in New Yorkr=0.9738yrs377
Milk consumptionr=0.9232yrs375
Cottage cheese consumptionr=0.9132yrs372
Google searches for 'desktop background'r=0.916yrs368
Burglaries in Virginiar=0.9738yrs367
Gasoline pumped in Francer=0.9243yrs366
Air pollution in Los Angelesr=0.9443yrs366
Air pollution in Los Angelesr=0.9443yrs366
GMO use in cottonr=0.9323yrs362
The distance between Neptune and the Sunr=0.9548yrs358
Lloyds Banking Group's stock price (LYG)r=0.8721yrs358
Burglaries in Connecticutr=0.9738yrs357
Kerosene used in Thailandr=0.9342yrs356
The divorce rate in Kentuckyr=0.9323yrs350
Motor vehicle thefts in Massachusettsr=0.9738yrs347
Kerosene used in Argentinar=0.9242yrs344
The marriage rate in Nevadar=0.9323yrs338
Arson in Oklahomar=0.9638yrs336
Kerosene used in Mexicor=0.9340yrs334
Air pollution in New York Cityr=0.9343yrs334
The divorce rate in Alabamar=0.9223yrs328
The number of CEOs in Colorador=0.9420yrs328
Burglaries in Minnesotar=0.9638yrs326
Petroluem consumption in Romaniar=0.9242yrs324
Air pollution in San Diego, Californiar=0.9543yrs324
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.9322yrs324
The divorce rate in North Carolinar=0.9223yrs318
The number of postal service machine operators in Oregonr=0.9520yrs318
Burglaries in Arizonar=0.9638yrs316
Kerosene used in Venezuelar=0.9242yrs314
Air pollution in San Diego, Californiar=0.9543yrs314
The divorce rate in Mississippir=0.9123yrs307
The number of file clerks in Arkansasr=0.9420yrs307
Burglaries in New Jerseyr=0.9638yrs306
Kerosene used in Brazilr=0.9142yrs303
Air pollution in New York Cityr=0.9243yrs303
The number of postal service machine operators in Connecticutr=0.9420yrs297
Burglaries in Californiar=0.9638yrs296
The divorce rate in Wyomingr=0.923yrs296
Gasoline pumped in Cubar=0.9142yrs293
Air pollution in Oxnard, Californiar=0.9443yrs293
The number of proofreaders in Connecticutr=0.9420yrs287
Motor vehicle thefts in Mainer=0.9638yrs286
The marriage rate in Arkansasr=0.923yrs284
Kerosene used in Cubar=0.9142yrs283
Air pollution in Riverside, Californiar=0.9243yrs280
The number of postal service machine operators in Kansasr=0.9420yrs277
Robberies in Michiganr=0.9638yrs276
Gasoline pumped in Somaliar=0.9142yrs273
Air pollution in Atlantic City, New Jerseyr=0.9143yrs268
The number of cooks, institution and cafeteria in Louisianar=0.9420yrs267
Arson in Nevadar=0.9538yrs264
Petroluem consumption in Bulgariar=0.942yrs262
Air pollution in Philadelphia, Pennsylvaniar=0.9143yrs258
The number of real estate agents in Michiganr=0.9320yrs257
Arson in New Jerseyr=0.9538yrs254
Carjackings in the USr=0.8927yrs254
Air pollution in Philadelphia, Pennsylvaniar=0.9143yrs248
The number of kindergarten teachers in Missourir=0.9420yrs247
Burglaries in Illinoisr=0.9538yrs244
Gasoline pumped in Germanyr=0.9132yrs243
Air pollution in Steamboat Springs, Colorador=0.9438yrs238
The number of postal service machine operators in Nebraskar=0.9420yrs237
Burglaries in Oklahomar=0.9538yrs234
Gasoline pumped in Latviar=0.931yrs230
The number of conveyor operators in New Jerseyr=0.9420yrs227
Burglaries in Rhode Islandr=0.9538yrs224
Gasoline pumped in Lithuaniar=0.931yrs220
The number of postal service machine operators in New Mexicor=0.9420yrs217
The number of cooks, short order in Pennsylvaniar=0.9420yrs207
Geothermal power generated in Austriar=0.9417yrs206
The number of postal service machine operators in Texasr=0.9420yrs197
The number of postal service machine operators in Virginiar=0.9420yrs187
Kerosene used in Portugalr=0.8943yrs181
The number of data entry keyers in West Virginiar=0.9420yrs177
Kerosene used in United Statesr=0.8943yrs171
The number of postal service machine operators in Wisconsinr=0.9420yrs167


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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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