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

VariableCorrelationYearsHas img?
Kerosene used in Turkiyer=0.9743yrsNo
Remaining Forest Cover in the Brazilian Amazonr=0.9536yrsNo


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

VariableCorrelationYearsSys. Score
Kerosene used in Mexicor=0.9740yrs430
Gasoline pumped in Bulgariar=0.9542yrs429
Carjackings in the USr=0.9527yrs423
Average number of milk cows in the United Statesr=0.9243yrs420
Burglaries in Colorador=0.9838yrs418
Burglaries in New Yorkr=0.9738yrs417
Physical album shipment volume in the United Statesr=0.9624yrs414
The divorce rate in Alabamar=0.9623yrs414
The marriage rate in Nevadar=0.9623yrs413
The marriage rate in Tennesseer=0.9623yrs413
AIG's stock price (AIG)r=0.921yrs392
Air pollution in Oxnard, Californiar=0.9541yrs392
Burglaries in Californiar=0.9738yrs387
The distance between Neptune and Mercuryr=0.9248yrs384
The distance between Neptune and Earthr=0.948yrs380
The distance between Neptune and the moonr=0.948yrs380
US milk fat used to produce fluid beverage milkr=0.9322yrs378
Motor vehicle thefts in Massachusettsr=0.9738yrs377
Google searches for 'learn spanish'r=0.9219yrs374
Google searches for 'black holes'r=0.9219yrs374
The wind speed in Austinr=0.9239yrs374
The wind speed in Nashviller=0.9239yrs374
Cottage cheese consumptionr=0.9132yrs372
The wind speed in San Diegor=0.939yrs372
Petroluem consumption in Bulgariar=0.9442yrs368
Robberies in Oregonr=0.9738yrs367
Viewership count for Days of Our Livesr=0.8647yrs366
Air pollution in Los Angelesr=0.9443yrs366
Air pollution in Los Angelesr=0.9343yrs364
Kerosene used in Uruguayr=0.9442yrs358
Lloyds Banking Group's stock price (LYG)r=0.8721yrs358
The number of typists in Mainer=0.9520yrs358
US household spending on booksr=0.9323yrs358
The number of brickmasons in Alabamar=0.9420yrs357
The number of surveyors in Delawarer=0.9420yrs357
Citigroup's stock price (C)r=0.8621yrs356
Arson in New Yorkr=0.9638yrs356
The divorce rate in Tennesseer=0.9323yrs350
Kerosene used in Venezuelar=0.9342yrs346
Burglaries in Oregonr=0.9638yrs346
Frozen yogurt consumptionr=0.9132yrs342
The marriage rate in Idahor=0.9323yrs338
Burglaries in Connecticutr=0.9538yrs334
Kerosene used in Ecuadorr=0.9242yrs334
Air pollution in New York Cityr=0.9343yrs334
The marriage rate in Ohior=0.9323yrs328
The number of prepress technicians and workers in Georgiar=0.9420yrs327
Kerosene used in Portugalr=0.9143yrs324
Air pollution in San Diego, Californiar=0.9543yrs324
The marriage rate in Wyomingr=0.9323yrs318
The number of advertising and promotions managers in Idahor=0.9420yrs317
Petroluem consumption in Romaniar=0.9242yrs314
Arson in United Statesr=0.9338yrs311
Air pollution in New York Cityr=0.943yrs310
The marriage rate in Arkansasr=0.9223yrs307
The number of office clerks in Minnesotar=0.9420yrs307
Kerosene used in Boliviar=0.9142yrs303
Burglary rates in the USr=0.9338yrs301
Air pollution in San Diego, Californiar=0.9243yrs300
The marriage rate in Virginiar=0.9223yrs297
The number of cutters and trimmers, hand in North Carolinar=0.9420yrs297
Gasoline pumped in Cubar=0.9142yrs293
Air pollution in Spokane, Washingtonr=0.9143yrs288
The number of brickmasons in Ohior=0.9420yrs287
The marriage rate in Arizonar=0.9123yrs286
Kerosene used in Hong Kongr=0.9142yrs283
Air pollution in Norwich, Connecticutr=0.9142yrs278
The number of sewing machine operators in Pennsylvaniar=0.9420yrs277
The marriage rate in South Carolinar=0.9123yrs276
Arson in Colorador=0.9538yrs274
Gasoline pumped in Somaliar=0.9142yrs273
The number of legislators in Wyomingr=0.9517yrs267
Air pollution in Steamboat Springs, Colorador=0.9238yrs265
Motor vehicle thefts in Oklahomar=0.9538yrs264
The marriage rate in South Dakotar=0.923yrs264
Kerosene used in Brazilr=0.942yrs262
The number of professional painters in Alabamar=0.9320yrs256
Kerosene used in Cubar=0.942yrs252
Arson in Californiar=0.9438yrs252
The number of sewing machine operators in Alabamar=0.9320yrs246
Kerosene used in Romaniar=0.942yrs242
Burglaries in Floridar=0.9438yrs242
The number of typists in Arizonar=0.9320yrs236
Kerosene used in Thailandr=0.942yrs232
Burglaries in Minnesotar=0.9438yrs232
The number of prepress technicians and workers in Illinoisr=0.9320yrs226
Burglaries in Oklahomar=0.9438yrs222
Petroluem consumption in Uzbekistanr=0.9430yrs216
The number of typists in Iowar=0.9320yrs216
Burglaries in Rhode Islandr=0.9438yrs212
The number of typists in Louisianar=0.9320yrs206
Gasoline pumped in Germanyr=0.9232yrs204
Burglaries in Texasr=0.9438yrs202
The number of furniture finishers in Massachusettsr=0.9320yrs196
Robberies in Michiganr=0.9438yrs192
Liquefied petroleum gas used in Greenlandr=0.9322yrs186
The number of sewing machine operators in Mississippir=0.9320yrs186
The number of data entry keyers in Missourir=0.9320yrs176
The number of prepress technicians and workers in Missourir=0.9320yrs166


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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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