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

VariableCorrelationYearsHas img?
The marriage rate in Idahor=0.9623yrsNo


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

VariableCorrelationYearsSys. Score
Kerosene used in Turkiyer=0.9743yrs433
Remaining Forest Cover in the Brazilian Amazonr=0.9636yrs432
Kerosene used in Mexicor=0.9740yrs430
Gasoline pumped in Bulgariar=0.9542yrs429
Average number of milk cows in the United Statesr=0.9243yrs420
Burglaries in New Yorkr=0.9838yrs418
Arson in New Yorkr=0.9738yrs417
Burglaries in Californiar=0.9738yrs417
Physical album shipment volume in the United Statesr=0.9624yrs414
The marriage rate in Nevadar=0.9723yrs414
The marriage rate in Arizonar=0.9623yrs413
Air pollution in Los Angelesr=0.9543yrs398
Air pollution in San Diego, Californiar=0.9643yrs396
AIG's stock price (AIG)r=0.9121yrs394
Air pollution in Oxnard, Californiar=0.9641yrs394
The number of upholsterers in Californiar=0.9720yrs392
The number of electrical and electronics repairers, commercial and industrial equipment in New Yorkr=0.9720yrs392
US household spending on clothing for menr=0.9523yrs392
The number of typists in Connecticutr=0.9620yrs390
US average milk-fat content of frozen dairy productsr=0.9522yrs388
The distance between Neptune and Mercuryr=0.9548yrs388
Burglaries in Colorador=0.9738yrs387
The distance between Neptune and Earthr=0.9448yrs386
The distance between Neptune and the moonr=0.9448yrs386
The marriage rate in Tennesseer=0.9623yrs383
US birth rates of triplets or morer=0.9120yrs380
Burglaries in Connecticutr=0.9738yrs377
The wind speed in Austinr=0.9339yrs376
Cottage cheese consumptionr=0.9232yrs374
The marriage rate in Virginiar=0.9623yrs373
Google searches for 'learn spanish'r=0.9119yrs373
The wind speed in Nashviller=0.9139yrs373
The wind speed in San Diegor=0.9139yrs373
Google searches for 'Panama Canal'r=0.919yrs372
Viewership count for Days of Our Livesr=0.8947yrs371
Petroluem consumption in Bulgariar=0.9442yrs368
Motor vehicle thefts in Massachusettsr=0.9738yrs367
The marriage rate in Wyomingr=0.9623yrs363
The number of telemarketers in Illinoisr=0.9520yrs360
Kerosene used in Uruguayr=0.9442yrs358
Robberies in Oregonr=0.9738yrs357
The distance between Neptune and the Sunr=0.9348yrs355
The marriage rate in Arkansasr=0.9523yrs352
The number of data entry keyers in Iowar=0.9620yrs350
Kerosene used in Venezuelar=0.9442yrs348
Burglaries in Oregonr=0.9638yrs346
Frozen yogurt consumptionr=0.9232yrs344
The marriage rate in Ohior=0.9523yrs342
The number of professional painters in Virginiar=0.9620yrs340
Kerosene used in Ecuadorr=0.9342yrs336
Air pollution in Los Angelesr=0.9443yrs336
Burglaries in Floridar=0.9538yrs334
US milk fat used to produce fluid beverage milkr=0.9122yrs334
The number of postal service machine operators in Californiar=0.9520yrs328
Burglaries in Rhode Islandr=0.9538yrs324
Gasoline pumped in Cubar=0.9242yrs324
Air pollution in New York Cityr=0.9343yrs324
Carjackings in the USr=0.9427yrs322
The number of sewing machine operators in Californiar=0.9520yrs318
Burglaries in Texasr=0.9538yrs314
Petroluem consumption in Romaniar=0.9242yrs314
The number of postal service machine operators in Kansasr=0.9520yrs308
Robberies in Michiganr=0.9538yrs304
Gasoline pumped in Somaliar=0.9242yrs304
The marriage rate in Kentuckyr=0.9523yrs302
The number of postal service machine operators in New Jerseyr=0.9520yrs298
Kerosene used in Argentinar=0.9142yrs293
The marriage rate in South Dakotar=0.9523yrs292
The number of data entry keyers in New Yorkr=0.9520yrs288
Kerosene used in Cubar=0.9142yrs283
Arson in United Statesr=0.9438yrs282
The divorce rate in Alabamar=0.9423yrs282
The number of postal service machine operators in Oregonr=0.9520yrs278
Kerosene used in Hong Kongr=0.9142yrs273
Burglary rates in the USr=0.9438yrs272
The divorce rate in Tennesseer=0.9423yrs272
The number of typists in Washingtonr=0.9520yrs268
Kerosene used in Thailandr=0.9142yrs263
The marriage rate in South Carolinar=0.9423yrs260
The number of postal service machine operators in District of Columbiar=0.9519yrs258
Kerosene used in Boliviar=0.942yrs252
The divorce rate in North Carolinar=0.9323yrs250
The number of archivists in Illinoisr=0.9519yrs248
Kerosene used in Portugalr=0.943yrs242
The number of typists in Nebraskar=0.9519yrs238
The marriage rate in Alabamar=0.9323yrs238
Arson in Colorador=0.9538yrs234
The marriage rate in Missourir=0.9323yrs228
Burglaries in New Mexicor=0.9538yrs224
Jet fuel used in Ukrainer=0.9230yrs222
The marriage rate in Wisconsinr=0.9323yrs218
Burglaries in Oklahomar=0.9538yrs214
Petroluem consumption in Uzbekistanr=0.9130yrs211
The marriage rate in North Carolinar=0.9223yrs207
Robberies in New Yorkr=0.9538yrs204
The divorce rate in Kentuckyr=0.923yrs196
Liquefied petroleum gas used in Greenlandr=0.9222yrs194
Arson in Californiar=0.9438yrs192
The divorce rate in New Hampshirer=0.923yrs186
Geothermal power generated in Austriar=0.9217yrs182


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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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