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

VariableCorrelationYearsHas img?
The marriage rate in Nevadar=123yrsNo
Burglaries in New Yorkr=0.9938yrsNo
Motor vehicle thefts in Massachusettsr=0.9938yrsNo
The number of CEOs in Ohior=0.9920yrsNo
US average milk-fat content of frozen dairy productsr=0.9922yrsNo
Google searches for 'learn spanish'r=0.9819yrsNo
Carjackings in the USr=0.9727yrsNo
US household spending on booksr=0.9723yrsNo
US birth rates of triplets or morer=0.9620yrsNo
Remaining Forest Cover in the Brazilian Amazonr=0.9636yrsNo
Arson in United Statesr=0.9538yrsNo



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

VariableCorrelationYearsSys. Score
Kerosene used in Egyptr=0.9842yrs434
Kerosene used in Argentinar=0.9742yrs432
Gasoline pumped in Francer=0.9643yrs432
Physical album shipment volume in the United Statesr=0.9924yrs418
The divorce rate in Alabamar=0.9823yrs418
The marriage rate in Arkansasr=0.9823yrs416
Google searches for 'desktop background'r=0.9816yrs410
Google searches for 'black holes'r=0.9619yrs410
United States music album salesr=0.9816yrs409
Kerosene used in Pakistanr=0.9642yrs400
The number of telemarketers in Californiar=0.9920yrs396
Air pollution in San Diego, Californiar=0.9643yrs396
The number of postal service machine operators in Connecticutr=0.9920yrs394
Air pollution in Riverside, Californiar=0.9543yrs394
US household spending on clothingr=0.9623yrs393
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.9822yrs392
Kerosene used in Thailandr=0.9642yrs390
Burglaries in Connecticutr=0.9938yrs390
Portion of all US dairy skim-solids allocated to the production of frozen dairy productsr=0.9722yrs390
The marriage rate in Idahor=0.9823yrs386
Associates degrees awarded in Accountingr=0.9811yrs386
Master's degrees awarded in gender studiesr=0.9810yrs386
Master's degrees awarded in linguisticsr=0.9810yrs386
Google searches for 'report UFO sighting'r=0.9319yrs382
The distance between Neptune and the Sunr=0.9148yrs382
The distance between Neptune and Earthr=0.9148yrs382
The distance between Neptune and the moonr=0.9148yrs382
Kerosene used in Cubar=0.9542yrs379
The wind speed in Austinr=0.9539yrs379
The marriage rate in Tennesseer=0.9723yrs374
Motor vehicle thefts in New Jerseyr=0.9838yrs368
The marriage rate in Wyomingr=0.9723yrs364
The number of typists in Floridar=0.9920yrs364
Robberies in New Yorkr=0.9838yrs358
The divorce rate in North Carolinar=0.9623yrs354
The number of typists in Iowar=0.9920yrs354
Associates degrees awarded in Businessr=0.9711yrs354
Liquefied petroleum gas used in Greenlandr=0.9622yrs350
US milk fat used to produce fluid beverage milkr=0.9522yrs350
Google searches for 'oprah winfrey'r=0.9519yrs349
Arson in New Yorkr=0.9738yrs347
The divorce rate in Tennesseer=0.9623yrs344
The number of typists in Ohior=0.9920yrs344
Associates degrees awarded in Business operationsr=0.9711yrs344
Burglaries in Californiar=0.9738yrs337
Gasoline pumped in Kosovor=0.9714yrs334
The number of postal service machine operators in District of Columbiar=0.9919yrs334
Bachelor's degrees awarded in linguisticsr=0.9710yrs334
The marriage rate in Alabamar=0.9623yrs333
Burglaries in Floridar=0.9638yrs326
The number of compensation and benefits managers in Indianar=0.9919yrs324
The marriage rate in South Dakotar=0.9623yrs323
Bachelor's degrees awarded in literaturer=0.9610yrs323
Kerosene used in Venezuelar=0.9542yrs319
Burglaries in Rhode Islandr=0.9638yrs316
The number of compensation and benefits managers in Missourir=0.9919yrs314
The marriage rate in Virginiar=0.9623yrs313
Gasoline pumped in Cubar=0.9442yrs308
Motor vehicle thefts in New Yorkr=0.9638yrs306
The number of compensation and benefits managers in Tennesseer=0.9919yrs304
Motor vehicle thefts in Rhode Islandr=0.9638yrs296
Gasoline pumped in Austriar=0.9243yrs296
The number of meter readers, utilities in Alabamar=0.9820yrs293
Motor vehicle thefts in Texasr=0.9638yrs286
Kerosene used in Brazilr=0.9242yrs284
The number of postal service machine operators in Californiar=0.9820yrs283
Motor vehicle thefts in Texasr=0.9638yrs276
Kerosene used in North Korear=0.9242yrs274
The number of postal service machine operators in Colorador=0.9820yrs273
The marriage rate in Ohior=0.9523yrs272
Motor vehicle thefts in Texasr=0.9638yrs266
The number of postal service machine operators in Illinoisr=0.9820yrs263
Gasoline pumped in Somaliar=0.942yrs262
The divorce rate in Kentuckyr=0.9423yrs262
Robberies in Oregonr=0.9638yrs256
The number of prepress technicians and workers in Illinoisr=0.9820yrs253
The marriage rate in Kentuckyr=0.9423yrs250
Burglaries in New Jerseyr=0.9538yrs244
Jet fuel used in Ukrainer=0.9330yrs244
The number of switchboard operators in Indianar=0.9820yrs243
The marriage rate in South Carolinar=0.9423yrs240
The number of couriers and messengers in Indianar=0.9820yrs233
Petroluem consumption in Ukrainer=0.9130yrs231
The divorce rate in Wyomingr=0.9323yrs230
Burglary rates in the USr=0.9538yrs224
The number of postal service machine operators in Indianar=0.9820yrs223
Petroluem consumption in Uzbekistanr=0.9130yrs221
The number of postal service machine operators in Iowar=0.9820yrs213
Robberies in the USr=0.9338yrs211
The number of postal service machine operators in Kansasr=0.9820yrs203


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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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