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

VariableCorrelationYearsHas img?
Air pollution in Parkersburg, West Virginiar=0.740yrsYes!



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

VariableCorrelationYearsSys. Score
Arson in United Statesr=0.9638yrs436
Remaining Forest Cover in the Brazilian Amazonr=0.9736yrs434
Gasoline pumped in Francer=0.9643yrs432
Petroluem consumption in Germanyr=0.9732yrs422
Gasoline pumped in Germanyr=0.9532yrs419
The divorce rate in Alabamar=0.9823yrs418
Arson in New Jerseyr=0.9838yrs418
Arson in Texasr=0.9838yrs418
Physical album shipment volume in the United Statesr=0.9824yrs417
The marriage rate in Nevadar=0.9823yrs416
The marriage rate in Arkansasr=0.9723yrs414
NASA's budget as a percentage of the total US Federal Budgetr=0.9248yrs408
Viewership count for Days of Our Livesr=0.9247yrs406
United States music album salesr=0.9616yrs406
Google searches for 'desktop background'r=0.9516yrs406
The number of telemarketers in Californiar=0.9720yrs393
The number of telemarketers in New Yorkr=0.9720yrs393
The number of prepress technicians and workers in Pennsylvaniar=0.9820yrs393
US household spending on clothingr=0.9623yrs393
US average milk-fat content of frozen dairy productsr=0.9822yrs392
US household spending on clothing for menr=0.9523yrs392
US household spending on clothin for womenr=0.9523yrs392
US household spending on booksr=0.9523yrs392
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.9722yrs390
Portion of all US dairy skim-solids allocated to the production of frozen dairy productsr=0.9622yrs389
The distance between Neptune and the Sunr=0.9548yrs388
The distance between Neptune and Earthr=0.9548yrs388
The distance between Neptune and the moonr=0.9548yrs388
Burglaries in Hawaiir=0.9738yrs387
US birth rates of triplets or morer=0.9520yrs386
The marriage rate in Wyomingr=0.9723yrs384
Google searches for 'oprah winfrey'r=0.9519yrs379
Google searches for 'shook'r=0.9419yrs378
Motor vehicle thefts in Michiganr=0.9738yrs377
Popularity of the 'all your base' memer=0.9117yrs377
Pirate attacks globallyr=0.9414yrs376
The wind speed in Austinr=0.9339yrs376
The divorce rate in North Carolinar=0.9623yrs374
GMO use in corn grown in Texasr=0.9618yrs374
Cigarette Smoking Rate for US adultsr=0.921yrs372
GMO use in cotton in Tennesseer=0.9718yrs372
Kerosene used in Perur=0.9542yrs369
Burglaries in Marylandr=0.9638yrs366
The divorce rate in Tennesseer=0.9623yrs364
The number of typists in Alabamar=0.9720yrs362
Gasoline pumped in Austriar=0.9343yrs357
Motor vehicle thefts in Mainer=0.9638yrs356
The marriage rate in Idahor=0.9623yrs353
The number of postal service machine operators in Iowar=0.9720yrs352
The distance between Neptune and Mercuryr=0.9148yrs352
Milk consumptionr=0.9532yrs350
Google searches for 'learn spanish'r=0.9419yrs348
Kerosene used in Thailandr=0.9342yrs346
Burglaries in Idahor=0.9538yrs344
The marriage rate in South Dakotar=0.9623yrs343
The number of carpenters in Mississippir=0.9720yrs342
US milk fat used to produce fluid beverage milkr=0.9222yrs336
Burglaries in Utahr=0.9538yrs334
Kerosene used in Egyptr=0.9242yrs334
The marriage rate in Tennesseer=0.9623yrs333
The number of postal service machine operators in North Dakotar=0.9720yrs332
Motor vehicle thefts in Illinoisr=0.9538yrs324
Kerosene used globallyr=0.9142yrs323
The marriage rate in Virginiar=0.9523yrs322
The number of CEOs in Ohior=0.9620yrs322
The number of typists in Ohior=0.9720yrs312
Gasoline pumped in United Kingdomr=0.943yrs312
The number of telemarketers in Pennsylvaniar=0.9620yrs302
Burglary rates in the USr=0.9338yrs301
The number of postal service machine operators in Wisconsinr=0.9720yrs292
Gasoline pumped in Sloveniar=0.9131yrs292
Motor vehicle theftsr=0.9338yrs291
The divorce rate in Oregonr=0.9523yrs283
The number of switchboard operators in Alabamar=0.9620yrs280
Robberies in the USr=0.9138yrs278
Liquefied petroleum gas used in Greenlandr=0.9422yrs278
The divorce rate in Floridar=0.9423yrs272
The number of tool and die makers in Arkansasr=0.9620yrs270
Geothermal power generated in Austriar=0.9417yrs266
The divorce rate in Kentuckyr=0.9423yrs262
The number of travel agents in Connecticutr=0.9620yrs260
Violent crime ratesr=0.938yrs256
The divorce rate in Ohior=0.9423yrs252
The number of postal service machine operators in Connecticutr=0.9620yrs250
Arson in Marylandr=0.9538yrs244
The divorce rate in Wyomingr=0.9423yrs242
The number of human resources assistants in District of Columbiar=0.9620yrs240
Burglaries in Illinoisr=0.9538yrs234
The number of typists in Floridar=0.9620yrs230
The marriage rate in Alabamar=0.9423yrs230
Burglaries in Arizonar=0.9538yrs224
The number of data entry keyers in Georgiar=0.9620yrs220
The marriage rate in Ohior=0.9423yrs220
Burglaries in Wyomingr=0.9538yrs214
The number of couriers and messengers in Indianar=0.9620yrs210
The marriage rate in South Carolinar=0.9423yrs210
Arson in Michiganr=0.9438yrs202
The number of file clerks in Marylandr=0.9620yrs200
The marriage rate in West Virginiar=0.9323yrs198
Arson in Nevadar=0.9438yrs192
The divorce rate in Mississippir=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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