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

VariableCorrelationYearsSys. Score
Kerosene used in Turkiyer=0.9843yrs434
Gasoline pumped in Bulgariar=0.9642yrs430
Kerosene used in Mexicor=0.9740yrs430
Average number of milk cows in the United Statesr=0.9343yrs422
Burglaries in New Yorkr=0.9738yrs417
Burglaries in Colorador=0.9738yrs417
Robberies in Oregonr=0.9738yrs417
Remaining Forest Cover in the Brazilian Amazonr=0.9436yrs399
Air pollution in San Diego, Californiar=0.9643yrs396
Carjackings in the USr=0.9527yrs393
Air pollution in Oxnard, Californiar=0.9541yrs392
Arson in New Yorkr=0.9638yrs386
The distance between Neptune and Mercuryr=0.9448yrs386
The distance between Neptune and Earthr=0.9348yrs385
The distance between Neptune and the moonr=0.9348yrs385
The marriage rate in South Carolinar=0.9523yrs382
The marriage rate in Tennesseer=0.9523yrs382
The marriage rate in Arizonar=0.9423yrs380
Burglaries in Oregonr=0.9638yrs376
Physical album shipment volume in the United Statesr=0.9124yrs376
Ticket sales for Arizona Diamondbacks gamesr=0.922yrs374
The wind speed in Austinr=0.9139yrs373
The wind speed in Nashviller=0.9139yrs373
Frozen yogurt consumptionr=0.9132yrs372
Viewership count for Days of Our Livesr=0.8847yrs370
Petroluem consumption in Bulgariar=0.9542yrs369
Customer satisfaction with Verizonr=0.8828yrs368
Burglaries in Californiar=0.9638yrs366
Air pollution in Los Angelesr=0.9443yrs366
Highest Nielsen rating for a TV show each yearr=0.8646yrs361
Kerosene used in Uruguayr=0.9442yrs358
US household spending on clothing for menr=0.9123yrs356
The distance between Neptune and the Sunr=0.9248yrs354
US average milk-fat content of frozen dairy productsr=0.9122yrs352
The number of legislators in Wyomingr=0.9117yrs351
The marriage rate in Nevadar=0.9423yrs350
Kerosene used in Ecuadorr=0.9342yrs346
Burglary rates in the USr=0.9238yrs340
The marriage rate in Ohior=0.9423yrs340
The wind speed in San Diegor=0.8939yrs340
US Hospital Occupancy Rater=0.918yrs339
Kerosene used in Portugalr=0.9243yrs336
Air pollution in New York Cityr=0.9343yrs334
The divorce rate in Tennesseer=0.9323yrs330
Arson in United Statesr=0.9138yrs328
Kerosene used in Venezuelar=0.9342yrs326
Air pollution in Los Angelesr=0.9243yrs323
US household spending on clothingr=0.8923yrs322
The marriage rate in Kentuckyr=0.9223yrs317
Petroluem consumption in Romaniar=0.9242yrs314
Air pollution in New York Cityr=0.943yrs310
Cottage cheese consumptionr=0.8932yrs309
The wind speed in Minneapolisr=0.8839yrs308
The divorce rate in Alabamar=0.9123yrs307
Kerosene used in Boliviar=0.9142yrs303
Air pollution in San Diego, Californiar=0.9243yrs300
The divorce rate in North Carolinar=0.9123yrs297
Milk consumptionr=0.8632yrs296
The wind speed in Milwaukeer=0.8639yrs296
Motor vehicle thefts in Massachusettsr=0.9538yrs294
Kerosene used in Hong Kongr=0.9142yrs293
The marriage rate in Arkansasr=0.9123yrs286
Air pollution in Norwich, Connecticutr=0.942yrs286
Kerosene used in Romaniar=0.9142yrs283
Burglaries in Washingtonr=0.9438yrs282
The marriage rate in Idahor=0.9123yrs276
Air pollution in Steamboat Springs, Colorador=0.9138yrs274
Gasoline pumped in Somaliar=0.9142yrs273
Burglaries in Connecticutr=0.9438yrs272
The marriage rate in Virginiar=0.9123yrs266
Arson in Colorador=0.9338yrs261
Customer satisfaction with Frontier Communicationsr=0.8428yrs256
The marriage rate in Alabamar=0.923yrs254
Burglaries in Oklahomar=0.9338yrs251
Jet fuel used in Ukrainer=0.9130yrs251
The marriage rate in Wyomingr=0.923yrs244
Burglaries in Rhode Islandr=0.9338yrs241
Petroluem consumption in Uzbekistanr=0.9130yrs241
Air pollution in Spokane, Washingtonr=0.943yrs237
Burglaries in Texasr=0.9338yrs231
Air pollution in Manchester, New Hampshirer=0.8943yrs226
Robberies in Michiganr=0.9338yrs221
Air pollution in Oxnard, Californiar=0.8943yrs216
Gasoline pumped in Cubar=0.942yrs212
Burglaries in Floridar=0.9238yrs210
Air pollution in Riverside, Californiar=0.8943yrs206
The marriage rate in Missourir=0.923yrs204
Kerosene used in Thailandr=0.942yrs202
Burglaries in Michiganr=0.9238yrs200
The marriage rate in North Carolinar=0.923yrs194
Air pollution in Atlantic City, New Jerseyr=0.8843yrs194
Kerosene used in Norwayr=0.8943yrs191
Burglaries in Minnesotar=0.9238yrs190
The divorce rate in New Hampshirer=0.8923yrs184
Air pollution in Hartford, Connecticutr=0.8843yrs184
Kerosene used in United Statesr=0.8943yrs181
Air pollution in Philadelphia, Pennsylvaniar=0.8843yrs174
The marriage rate in South Dakotar=0.8923yrs172
Kerosene used in Argentinar=0.8942yrs170
The marriage rate in Wisconsinr=0.8923yrs162
The divorce rate in Floridar=0.8823yrs152


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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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