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

VariableCorrelationYearsHas img?
Air pollution in Milwaukeer=0.7943yrsYes!


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

VariableCorrelationYearsSys. Score
Arson in United Statesr=0.9738yrs437
Remaining Forest Cover in the Brazilian Amazonr=0.9836yrs435
Gasoline pumped in Francer=0.9743yrs433
Physical album shipment volume in the United Statesr=0.9924yrs418
Arson in New Jerseyr=0.9738yrs417
Motor vehicle thefts in Mainer=0.9738yrs417
US birth rates of triplets or morer=0.9520yrs416
The marriage rate in Idahor=0.9823yrs416
The marriage rate in Nevadar=0.9823yrs416
The marriage rate in Wyomingr=0.9823yrs416
Google searches for 'learn spanish'r=0.9819yrs414
US milk fat used to produce fluid beverage milkr=0.9622yrs412
Liquefied petroleum gas used in Greenlandr=0.9722yrs412
Milk consumptionr=0.9532yrs410
Gasoline pumped in Austriar=0.9543yrs400
Air pollution in Oxnard, Californiar=0.9643yrs396
AIG's stock price (AIG)r=0.9221yrs395
The number of telemarketers in Californiar=0.9820yrs394
The number of postal service machine operators in Connecticutr=0.9920yrs394
The number of typists in Iowar=0.9920yrs394
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.9822yrs392
Lloyds Banking Group's stock price (LYG)r=0.921yrs392
The divorce rate in Alabamar=0.9723yrs386
Arson in Texasr=0.9638yrs386
The distance between Neptune and the Sunr=0.9348yrs385
The distance between Neptune and Earthr=0.9248yrs384
The distance between Neptune and the moonr=0.9248yrs384
GMO use in corn grown in South Dakotar=0.9623yrs379
Google searches for 'report UFO sighting'r=0.9119yrs379
Google searches for 'snoop dog'r=0.9519yrs379
Google searches for 'black holes'r=0.9519yrs379
U.S. intercountry adoptionsr=0.9123yrs376
GMO use in corn grown in Texasr=0.9718yrs376
xkcd comics published about romancer=0.9216yrs376
Popularity of the 'all your base' memer=0.917yrs376
The wind speed in Austinr=0.9339yrs376
Burglaries in Hawaiir=0.9638yrs376
The marriage rate in Arkansasr=0.9723yrs374
Kerosene used in Egyptr=0.9442yrs368
Motor vehicle thefts in Massachusettsr=0.9638yrs366
The divorce rate in North Carolinar=0.9623yrs364
The number of postal service machine operators in Minnesotar=0.9920yrs364
US average milk-fat content of frozen dairy productsr=0.9822yrs362
Kerosene used in Thailandr=0.9442yrs358
Motor vehicle thefts in Michiganr=0.9638yrs356
The number of postal service machine operators in New Jerseyr=0.9920yrs354
The marriage rate in Alabamar=0.9623yrs353
Portion of all US dairy skim-solids allocated to the production of frozen dairy productsr=0.9722yrs350
Google searches for 'oprah winfrey'r=0.9419yrs348
Motor vehicle thefts in New Jerseyr=0.9638yrs346
Kerosene used in Perur=0.9342yrs346
The number of postal service machine operators in New Yorkr=0.9920yrs344
Google searches for 'desktop background'r=0.9516yrs336
Burglaries in Floridar=0.9538yrs334
The number of CEOs in Ohior=0.9820yrs334
Kerosene used in Argentinar=0.9242yrs334
Cottage cheese consumptionr=0.9532yrs328
Motor vehicle thefts in Rhode Islandr=0.9538yrs324
The number of typists in Ohior=0.9920yrs324
Kerosene used in Pakistanr=0.9242yrs324
Motor vehicle thefts in Illinoisr=0.9538yrs314
The number of postal service machine operators in District of Columbiar=0.9919yrs314
Kerosene used in Brazilr=0.9142yrs313
The marriage rate in South Dakotar=0.9523yrs312
The number of compensation and benefits managers in Indianar=0.9919yrs304
Kerosene used in Cubar=0.942yrs302
The marriage rate in Tennesseer=0.9523yrs302
The number of meter readers, utilities in Alabamar=0.9820yrs293
Burglary rates in the USr=0.9438yrs292
The marriage rate in Virginiar=0.9523yrs292
Gasoline pumped in Germanyr=0.9532yrs289
The number of brickmasons in Alabamar=0.9820yrs283
Motor vehicle theftsr=0.9438yrs282
The divorce rate in Tennesseer=0.9423yrs282
Petroluem consumption in Germanyr=0.9332yrs276
The number of sewing machine operators in Alabamar=0.9820yrs273
Robberies in the USr=0.9238yrs270
The divorce rate in Kentuckyr=0.9323yrs270
The number of postal service machine operators in Californiar=0.9820yrs263
Gasoline pumped in Latviar=0.9131yrs262
The divorce rate in Wyomingr=0.9223yrs258
The number of postal service machine operators in Colorador=0.9820yrs253
Petroluem consumption in Uzbekistanr=0.9230yrs252
The divorce rate in Floridar=0.9123yrs247
Violent crime ratesr=0.938yrs246
The number of typists in Floridar=0.9820yrs243
The divorce rate in Mississippir=0.9123yrs237
Burglaries in Idahor=0.9538yrs234
The number of postal service machine operators in Illinoisr=0.9820yrs233
The divorce rate in Oregonr=0.9123yrs227
Burglaries in Illinoisr=0.9538yrs224
The number of prepress technicians and workers in Illinoisr=0.9820yrs223
The marriage rate in Kentuckyr=0.9123yrs216
Burglaries in Marylandr=0.9538yrs214
The number of postal service machine operators in Indianar=0.9820yrs213
The marriage rate in Ohior=0.9123yrs206
Burglaries in Minnesotar=0.9538yrs204
The number of postal service machine operators in Kansasr=0.9820yrs203
The marriage rate in South Carolinar=0.9123yrs196
Burglaries in Arizonar=0.9538yrs194
The divorce rate in Ohior=0.923yrs186


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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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