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

VariableCorrelationYearsSys. Score
NASA's budget as a percentage of the total US Federal Budgetr=0.9648yrs444
Gasoline pumped in United Kingdomr=0.9643yrs432
Remaining Forest Cover in the Brazilian Amazonr=0.9536yrs430
Violent crime ratesr=0.9238yrs420
US birth rates of triplets or morer=0.9620yrs418
Arson in Texasr=0.9738yrs417
Motor vehicle thefts in Floridar=0.9638yrs416
The marriage rate in Alabamar=0.9623yrs413
The marriage rate in Arkansasr=0.9623yrs413
The divorce rate in Kentuckyr=0.9523yrs413
Physical album shipment volume in the United Statesr=0.9524yrs412
Milk consumptionr=0.9732yrs412
United States music album salesr=0.9616yrs406
Petroluem consumption in Italyr=0.9148yrs399
Gasoline pumped in Austriar=0.9443yrs398
The number of switchboard operators in Massachusettsr=0.9820yrs393
The number of prepress technicians and workers in Michiganr=0.9820yrs393
The number of file clerks in Minnesotar=0.9820yrs393
Portion of all US dairy skim-solids allocated to the production of frozen dairy productsr=0.9722yrs390
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.9622yrs389
Votes for the Democratic Presidential candidate in West Virginiar=0.9612yrs385
Arson in Missourir=0.9538yrs384
The marriage rate in Idahor=0.9523yrs382
U.S. intercountry adoptionsr=0.9323yrs378
Cigarette Smoking Rate for US adultsr=0.9221yrs375
Motor vehicle thefts in Georgiar=0.9538yrs374
Google searches for 'oprah winfrey'r=0.9119yrs373
The marriage rate in South Dakotar=0.9523yrs372
Google searches for 'panama canal'r=0.919yrs372
Google searches for 'desktop background'r=0.9116yrs370
Gasoline pumped in Norwayr=0.9343yrs367
United States' Fruit Juice Export Volumer=0.9213yrs367
Viewership count for Days of Our Livesr=0.8647yrs366
GMO use in cottonr=0.9523yrs364
The marriage rate in Wyomingr=0.9523yrs362
The number of telemarketers in Californiar=0.9620yrs362
US household spending on postage and stationeryr=0.9423yrs360
US household spending on clothingr=0.9423yrs360
US household spending on clothin for womenr=0.9423yrs360
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milkr=0.9622yrs359
US household spending on clothing for menr=0.9223yrs357
Cenovus Energy's stock price (CVE)r=0.9113yrs356
US household spending on prescription drugsr=0.9123yrs356
US household spending on booksr=0.9123yrs356
Motor vehicle theftsr=0.9538yrs354
The number of payroll and timekeeping clerks in District of Columbiar=0.9720yrs352
US average milk-fat content of frozen dairy productsr=0.9622yrs349
Petroluem consumption in Germanyr=0.9332yrs346
Robberies in the USr=0.9438yrs342
The number of bill collectors in Illinoisr=0.9620yrs342
Gasoline pumped in Latviar=0.9331yrs335
The number of couriers and messengers in Indianar=0.9720yrs332
Arson in United Statesr=0.9238yrs330
Cottage cheese consumptionr=0.9332yrs325
The divorce rate in Floridar=0.9523yrs323
The number of maintenance workers, machinery in New Jerseyr=0.9720yrs322
Gasoline pumped in Germanyr=0.932yrs322
Arson in Idahor=0.9622yrs320
The number of tool and die makers in New Yorkr=0.9720yrs312
The divorce rate in North Carolinar=0.9423yrs312
Liquefied petroleum gas used in Greenlandr=0.9122yrs303
The number of CEOs in Ohior=0.9620yrs302
The marriage rate in Nevadar=0.9423yrs300
Arson in North Carolinar=0.9538yrs294
The number of counter and rental clerks in Pennsylvaniar=0.9720yrs292
The marriage rate in West Virginiar=0.9423yrs290
Burglaries in Hawaiir=0.9538yrs284
The number of switchboard operators in Virginiar=0.9720yrs282
The divorce rate in Alabamar=0.9323yrs280
Kerosene used in Macaur=0.8942yrs280
Burglaries in Kansasr=0.9538yrs274
The number of meter readers, utilities in Alabamar=0.9620yrs270
The divorce rate in Arkansasr=0.9323yrs270
Gasoline pumped in Swedenr=0.8843yrs270
Motor vehicle thefts in Pennsylvaniar=0.9538yrs264
The number of sewing machine operators in Californiar=0.9620yrs260
The divorce rate in Mississippir=0.9323yrs260
Gasoline pumped in Francer=0.8743yrs258
Robberies in Georgiar=0.9538yrs254
The number of travel agents in Connecticutr=0.9620yrs250
The divorce rate in Ohior=0.9323yrs250
Kerosene used in Syriar=0.8842yrs248
Robberies in Virginiar=0.9538yrs244
The number of human resources assistants in District of Columbiar=0.9620yrs240
The divorce rate in Tennesseer=0.9323yrs240
Kerosene used in Japanr=0.8643yrs236
Burglaries in Marylandr=0.9438yrs232
The number of data entry keyers in Floridar=0.9620yrs230
The divorce rate in Wyomingr=0.9323yrs230
Kerosene used in Egyptr=0.8542yrs224
Burglaries in North Carolinar=0.9438yrs222
The number of telemarketers in Iowar=0.9520yrs220
The marriage rate in Louisianar=0.9323yrs218
Burglaries in South Carolinar=0.9438yrs212
The number of postal service machine operators in Iowar=0.9620yrs210
The marriage rate in Virginiar=0.9323yrs208
Burglaries in Utahr=0.9438yrs202
The number of file clerks in Marylandr=0.9620yrs200
The divorce rate in Arizonar=0.9223yrs198
Motor vehicle thefts in Marylandr=0.9438yrs192
The divorce rate in Virginiar=0.9223yrs188


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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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