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

VariableCorrelationYearsHas img?
Remaining Forest Cover in the Brazilian Amazonr=0.9636yrsNo
Arson in United Statesr=0.9538yrsNo
Motor vehicle thefts in Illinoisr=0.9538yrsNo
Frozen yogurt consumptionr=0.9432yrsNo
Violent crime ratesr=0.9338yrsNo
Petroluem consumption in North Korear=0.9242yrsNo



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

VariableCorrelationYearsSys. Score
Kerosene used in Pakistanr=0.9542yrs429
Carjackings in the USr=0.9627yrs424
Kerosene used in Egyptr=0.9442yrs398
Jet fuel used in Germany, Westr=0.9511yrs398
Burglaries in Connecticutr=0.9838yrs388
The marriage rate in Arizonar=0.9423yrs380
The marriage rate in Nevadar=0.9423yrs380
The marriage rate in Tennesseer=0.9423yrs380
The wind speed in Austinr=0.9539yrs379
Physical album shipment volume in the United Statesr=0.9224yrs378
Motor vehicle thefts in New Jerseyr=0.9838yrs378
The wind speed in San Diegor=0.9339yrs376
Burglaries in New Yorkr=0.9738yrs367
Customer satisfaction with Frontier Communicationsr=0.8728yrs366
Customer satisfaction with Verizonr=0.8628yrs364
Kerosene used in Argentinar=0.9242yrs364
US household spending on booksr=0.9523yrs362
Air pollution in Santa Maria, Californiar=0.9343yrs362
The number of legislators in Indianar=0.9420yrs358
Air pollution in Santa Maria, Californiar=0.9142yrs358
The number of prepress technicians and workers in New Yorkr=0.9420yrs357
Motor vehicle thefts in Massachusettsr=0.9738yrs357
The number of data entry keyers in Californiar=0.9320yrs356
US household spending on clothingr=0.9123yrs356
US household spending on clothing for menr=0.9123yrs356
Air pollution in Steamboat Springs, Colorador=0.9238yrs355
US average milk-fat content of frozen dairy productsr=0.9322yrs354
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.9222yrs353
The divorce rate in Alabamar=0.9323yrs350
Robberies in New Yorkr=0.9738yrs347
Kerosene used in North Korear=0.9242yrs344
US birth rates of triplets or morer=0.8620yrs342
GMO use in corn grown in South Dakotar=0.9123yrs342
Total annual sales of Ford Motors in the United Statesr=0.8923yrs340
Google searches for 'panama canal'r=0.8919yrs340
Ticket sales for Arizona Diamondbacks gamesr=0.8722yrs340
The marriage rate in Ohior=0.9323yrs338
Burglaries in District of Columbiar=0.9638yrs336
Gasoline pumped in Francer=0.943yrs332
The divorce rate in Tennesseer=0.9223yrs328
The number of telemarketers in Illinoisr=0.9220yrs326
Motor vehicle thefts in New Yorkr=0.9638yrs326
Portion of all US dairy skim-solids allocated to the production of frozen dairy productsr=0.9222yrs323
The marriage rate in Idahor=0.9223yrs317
The number of data entry keyers in Nebraskar=0.9320yrs316
Burglaries in New Jerseyr=0.9538yrs314
Petroluem consumption in Azerbaijanr=0.930yrs310
The marriage rate in Virginiar=0.9223yrs307
The number of human resources assistants in Ohior=0.9320yrs306
Robberies in Washingtonr=0.9538yrs304
US milk fat used to produce fluid beverage milkr=0.8922yrs302
The marriage rate in Arkansasr=0.9123yrs296
The number of photographers in Arkansasr=0.9220yrs294
The marriage rate in South Carolinar=0.9123yrs286
The number of telephone operators in Floridar=0.9319yrs284
Kerosene used in Thailandr=0.942yrs282
Robberies in the USr=0.9438yrs282
The marriage rate in Kentuckyr=0.923yrs274
The number of switchboard operators in Georgiar=0.9220yrs274
Gasoline pumped in Austriar=0.8943yrs271
Burglary rates in the USr=0.9338yrs271
The marriage rate in Missourir=0.923yrs264
The number of advertising and promotions managers in Louisianar=0.9220yrs264
Jet fuel used in Afghanistanr=0.8942yrs260
Motor vehicle theftsr=0.9238yrs260
The number of file clerks in Marylandr=0.9220yrs254
Kerosene used in Cubar=0.8742yrs247
The number of prepress technicians and workers in North Carolinar=0.9220yrs244
Gasoline pumped in North Korear=0.8742yrs237
The number of proofreaders in Pennsylvaniar=0.9220yrs234
Burglaries in Floridar=0.9538yrs234
The number of proofreaders in Wisconsinr=0.9220yrs224
Gasoline pumped in Cubar=0.8542yrs224
Motor vehicle thefts in Texasr=0.9538yrs224
The marriage rate in Alabamar=0.8923yrs222
Motor vehicle thefts in Texasr=0.9538yrs214
The number of travel agents in Californiar=0.9120yrs212
The marriage rate in North Carolinar=0.8923yrs212
Petroluem consumption in Uzbekistanr=0.930yrs210
Motor vehicle thefts in Texasr=0.9538yrs204
The number of travel agents in Connecticutr=0.9120yrs202
The marriage rate in South Dakotar=0.8923yrs202
Gasoline pumped in Germanyr=0.8832yrs198
The number of cashiers in Indianar=0.9120yrs192
The marriage rate in Wisconsinr=0.8823yrs191
Jet fuel used in Ukrainer=0.8930yrs188
The number of couriers and messengers in Indianar=0.9120yrs182
The marriage rate in Wyomingr=0.8823yrs181
Petroluem consumption in Ukrainer=0.8630yrs174
The number of data entry keyers in Marylandr=0.9120yrs172
The divorce rate in New Hampshirer=0.8723yrs171
The number of prepress technicians and workers in Massachusettsr=0.9120yrs162
Gasoline pumped in Eritrear=0.8628yrs162
The divorce rate in North Carolinar=0.8623yrs160
Liquefied petroleum gas used in Greenlandr=0.922yrs152


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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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