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

VariableCorrelationYearsSys. Score
Arson in United Statesr=0.9638yrs436
Remaining Forest Cover in the Brazilian Amazonr=0.9736yrs434
Kerosene used in Uruguayr=0.9542yrs429
Burglaries in New Yorkr=0.9738yrs417
Burglaries in Connecticutr=0.9738yrs417
Kerosene used in Turkiyer=0.9343yrs397
Kerosene used in Portugalr=0.9143yrs394
The distance between Neptune and Mercuryr=0.9548yrs388
Motor vehicle thefts in Massachusettsr=0.9738yrs387
The distance between Neptune and Earthr=0.9448yrs386
The distance between Neptune and the moonr=0.9448yrs386
Physical album shipment volume in the United Statesr=0.9424yrs381
Average number of milk cows in the United Statesr=0.8643yrs381
The wind speed in Austinr=0.9539yrs379
The marriage rate in Idahor=0.9323yrs378
The marriage rate in Nevadar=0.9323yrs378
The marriage rate in Wyomingr=0.9323yrs378
The wind speed in San Diegor=0.9439yrs378
Arson in Nevadar=0.9638yrs376
Cottage cheese consumptionr=0.9232yrs374
The wind speed in Nashviller=0.9139yrs373
Milk consumptionr=0.932yrs372
Viewership count for Days of Our Livesr=0.8847yrs370
Arson in Californiar=0.9638yrs366
Kerosene used in Argentinar=0.9142yrs363
Air pollution in Los Angelesr=0.9243yrs363
Air pollution in Los Angelesr=0.9243yrs363
Air pollution in San Diego, Californiar=0.9443yrs363
The number of conveyor operators in New Jerseyr=0.9420yrs357
Burglaries in Californiar=0.9638yrs356
The number of file clerks in Arkansasr=0.9320yrs356
The number of receptionists in Delawarer=0.9220yrs356
The distance between Neptune and the Sunr=0.9348yrs355
Gasoline pumped in Bulgariar=0.9142yrs353
The divorce rate in Alabamar=0.9223yrs348
US birth rates of triplets or morer=0.8920yrs347
Arson in New Jerseyr=0.9538yrs344
Kerosene used in Cubar=0.9142yrs343
Frozen yogurt consumptionr=0.9132yrs342
Google searches for 'report UFO sighting'r=0.8619yrs342
Google searches for 'learn spanish'r=0.919yrs342
The divorce rate in Kentuckyr=0.9123yrs337
Burglaries in Minnesotar=0.9538yrs334
Kerosene used in Thailandr=0.9142yrs333
Air pollution in Oxnard, Californiar=0.9441yrs331
The marriage rate in Arkansasr=0.9123yrs326
The number of data entry keyers in Iowar=0.9320yrs326
Burglaries in New Jerseyr=0.9538yrs324
Kerosene used in Venezuelar=0.9142yrs323
Air pollution in San Diego, Californiar=0.9243yrs320
Carjackings in the USr=0.9427yrs317
The number of telemarketers in New Jerseyr=0.9220yrs316
Motor vehicle thefts in New Jerseyr=0.9538yrs314
The marriage rate in Alabamar=0.923yrs314
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.9322yrs314
Gasoline pumped in Cubar=0.942yrs312
Air pollution in Oxnard, Californiar=0.9143yrs308
The number of hairdressers, hairstylists, and cosmetologists in Puerto Ricor=0.9320yrs306
Motor vehicle thefts in Illinoisr=0.9538yrs304
The marriage rate in Louisianar=0.923yrs304
Gasoline pumped in Francer=0.943yrs302
Portion of all US dairy skim-solids allocated to the production of frozen dairy productsr=0.9122yrs302
Air pollution in Steamboat Springs, Colorador=0.9438yrs298
Robberies in New Yorkr=0.9538yrs294
The number of conveyor operators in Arkansasr=0.9220yrs294
Kerosene used in Mexicor=0.9240yrs292
US average milk-fat content of frozen dairy productsr=0.9122yrs292
The number of postal service machine operators in Californiar=0.9220yrs284
Petroluem consumption in Romaniar=0.942yrs282
US average milk-fat content of cottage cheeser=0.922yrs280
The number of data entry keyers in Connecticutr=0.9220yrs274
Burglary rates in the USr=0.9438yrs272
The divorce rate in North Carolinar=0.923yrs266
The number of data entry keyers in District of Columbiar=0.9220yrs264
Gasoline pumped in Germanyr=0.932yrs262
US milk fat used to produce fluid beverage milkr=0.8922yrs262
Robberies in the USr=0.9338yrs261
The number of professional painters in Georgiar=0.9220yrs254
The divorce rate in Wyomingr=0.8923yrs254
Jet fuel used in Ukrainer=0.9130yrs251
The number of file clerks in Illinoisr=0.9220yrs244
The marriage rate in Virginiar=0.8923yrs242
Petroluem consumption in Uzbekistanr=0.9130yrs241
The number of postal service machine operators in Illinoisr=0.9220yrs234
The divorce rate in Mississippir=0.8823yrs232
Violent crime ratesr=0.8938yrs225
The number of CEOs in Kentuckyr=0.9120yrs224
Burglaries in Floridar=0.9538yrs214
The number of bill collectors in Marylandr=0.9120yrs214
Kerosene used in Norwayr=0.8943yrs211
Burglaries in Arizonar=0.9538yrs204
The number of tapers in Missourir=0.9220yrs204
Kerosene used in United Statesr=0.8843yrs200
Burglaries in Virginiar=0.9538yrs194
The number of postal service machine operators in New Jerseyr=0.9220yrs194
Fossil fuel use in Sierra Leoner=0.8642yrs188
The number of postal service machine operators in New Yorkr=0.9220yrs184
Kerosene used in Boliviar=0.8842yrs178
The number of data entry keyers in Ohior=0.9220yrs174
Kerosene used in Ecuadorr=0.8842yrs168
The number of typists in Pennsylvaniar=0.9220yrs164


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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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