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

VariableCorrelationYearsHas img?
Milk consumptionr=0.9432yrsNo



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

VariableCorrelationYearsSys. Score
Kerosene used in Mexicor=0.9540yrs427
Average number of milk cows in the United Statesr=0.9143yrs418
Burglaries in Colorador=0.9638yrs416
Burglaries in Oregonr=0.9538yrs414
Remaining Forest Cover in the Brazilian Amazonr=0.9336yrs398
Arson in United Statesr=0.9138yrs398
Petroluem consumption in Bulgariar=0.9442yrs398
Gasoline pumped in Bulgariar=0.9442yrs398
The distance between Neptune and Mercuryr=0.9348yrs385
The distance between Neptune and the Sunr=0.9248yrs384
The distance between Neptune and Earthr=0.9248yrs384
The divorce rate in Kentuckyr=0.9123yrs377
U.S. intercountry adoptionsr=0.9123yrs376
The marriage rate in Idahor=0.9123yrs376
The marriage rate in Wyomingr=0.9123yrs376
Sherbet consumptionr=0.9132yrs372
Burglary rates in the USr=0.9138yrs368
Air pollution in New York Cityr=0.9543yrs368
Kerosene used in Turkiyer=0.9343yrs367
Viewership count for Days of Our Livesr=0.8647yrs366
Air pollution in Manchester, New Hampshirer=0.9543yrs364
GMO use in cottonr=0.9223yrs360
Air pollution in Norwich, Connecticutr=0.9342yrs360
Lloyds Banking Group's stock price (LYG)r=0.8721yrs358
The number of data entry keyers in Connecticutr=0.9420yrs357
The number of data entry keyers in Ohior=0.9420yrs357
The number of prepress technicians and workers in Virginiar=0.9420yrs357
Kerosene used in United Statesr=0.9243yrs356
AIG's stock price (AIG)r=0.8621yrs356
The distance between Neptune and the moonr=0.9248yrs354
Global Per Capita Rice Consumptionr=0.9120yrs352
US birth rates of triplets or morer=0.920yrs348
Kerosene used in Boliviar=0.9242yrs344
Physical album shipment volume in the United Statesr=0.8924yrs344
Burglaries in Michiganr=0.9438yrs342
GMO use in cotton in Texasr=0.9223yrs340
Cigarette Smoking Rate for US adultsr=0.8821yrs339
Burglaries in Nevadar=0.9338yrs331
The number of data entry keyers in West Virginiar=0.9420yrs327
Air pollution in Oxnard, Californiar=0.9141yrs326
Petroluem consumption in Germanyr=0.9132yrs323
Portion of all US dairy skim-solids allocated to the production of cottage cheeser=0.9222yrs323
Burglaries in Arizonar=0.9338yrs321
The number of CEOs in Colorador=0.9220yrs316
The divorce rate in Alabamar=0.8923yrs314
Gasoline pumped in Latviar=0.9131yrs312
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.9122yrs312
Burglaries in Oklahomar=0.9338yrs311
The number of proofreaders in Connecticutr=0.9320yrs306
The divorce rate in North Carolinar=0.8923yrs304
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milkr=0.9122yrs302
Burglaries in Washingtonr=0.9338yrs301
Gasoline pumped in Sloveniar=0.931yrs300
The number of switchboard operators in Delawarer=0.9320yrs296
US average milk-fat content of cottage cheeser=0.9122yrs292
The divorce rate in Arkansasr=0.8823yrs292
Robberies in Michiganr=0.9338yrs291
The number of data entry keyers in District of Columbiar=0.9320yrs286
The marriage rate in Alabamar=0.8823yrs281
Arson in Nevadar=0.9238yrs280
The number of switchboard operators in Iowar=0.9320yrs276
Kerosene used in Romaniar=0.942yrs272
The marriage rate in Nevadar=0.8823yrs271
Arson in Colorador=0.9238yrs270
Cottage cheese consumptionr=0.8932yrs269
The number of vending machine repairers in Nevadar=0.9220yrs266
Kerosene used in Uruguayr=0.942yrs262
The divorce rate in Floridar=0.8723yrs261
Burglaries in Minnesotar=0.9238yrs260
US milk fat used to produce fluid beverage milkr=0.8722yrs258
The number of library assistants in North Carolinar=0.9320yrs256
The divorce rate in Mississippir=0.8723yrs251
Burglaries in Californiar=0.9238yrs250
Kerosene used in Hong Kongr=0.8942yrs250
The number of telemarketers in North Dakotar=0.9220yrs246
The divorce rate in Wyomingr=0.8723yrs241
Kerosene used in Portugalr=0.8843yrs240
Burglaries in Floridar=0.9138yrs238
The number of broadcast technicians in Puerto Ricor=0.9320yrs236
Gasoline pumped in Somaliar=0.8942yrs230
The marriage rate in Alaskar=0.8723yrs230
Burglaries in Idahor=0.9138yrs228
The number of switchboard operators in Alabamar=0.9220yrs224
The divorce rate in Virginiar=0.8623yrs220
Burglaries in New Mexicor=0.9138yrs218
Kerosene used in Australiar=0.8743yrs218
The number of postal service machine operators in Alabamar=0.9220yrs214
Burglaries in Texasr=0.9138yrs208
Kerosene used in Ecuadorr=0.8842yrs208
The number of switchboard operators in Arizonar=0.9220yrs204
Burglaries in Virginiar=0.9138yrs198
Kerosene used in Norwayr=0.8743yrs198
The number of receptionists in Delawarer=0.9120yrs194
Motor vehicle thefts in Michiganr=0.9138yrs188
Petroluem consumption in Romaniar=0.8842yrs188
The number of file clerks in Illinoisr=0.9220yrs184
Gasoline pumped in Albaniar=0.8742yrs177
The number of postal service machine operators in Kentuckyr=0.9220yrs174
Jet fuel used in American Samoar=0.8642yrs166
The number of bill collectors in Marylandr=0.9120yrs164


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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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