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

VariableCorrelationYearsHas img?
Arson in United Statesr=0.9738yrsNo
Motor vehicle thefts in Mainer=0.9638yrsNo



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

VariableCorrelationYearsSys. Score
Remaining Forest Cover in the Brazilian Amazonr=0.9936yrs436
Burglary rates in the USr=0.9538yrs434
Gasoline pumped in Francer=0.9743yrs433
Kerosene used in Thailandr=0.9742yrs432
Kerosene used in Argentinar=0.9642yrs430
The distance between Neptune and the Sunr=0.9848yrs422
The distance between Neptune and Earthr=0.9848yrs422
The distance between Neptune and Mercuryr=0.9848yrs422
Motor vehicle thefts in Massachusettsr=0.9938yrs420
The marriage rate in Tennesseer=0.9923yrs418
Physical album shipment volume in the United Statesr=0.9724yrs416
The marriage rate in Nevadar=0.9823yrs416
Google searches for 'panama canal'r=0.9819yrs414
The marriage rate in Ohior=0.9723yrs414
Google searches for 'Panama Canal'r=0.9719yrs412
Viewership count for Days of Our Livesr=0.9547yrs410
Google searches for 'black holes'r=0.9619yrs410
The wind speed in Austinr=0.9639yrs410
Air pollution in Los Angelesr=0.9743yrs400
Kerosene used in Cubar=0.9542yrs399
US household spending on booksr=0.9823yrs396
Air pollution in Oxnard, Californiar=0.9643yrs396
Air pollution in San Diego, Californiar=0.9643yrs396
The number of data entry keyers in Californiar=0.9920yrs394
The number of file clerks in Marylandr=0.9920yrs394
The number of switchboard operators in Georgiar=0.9820yrs393
The distance between Neptune and the moonr=0.9848yrs392
US household spending on clothingr=0.9523yrs392
Kerosene used in Egyptr=0.9542yrs389
Burglaries in New Yorkr=0.9838yrs388
The divorce rate in Tennesseer=0.9623yrs384
Bachelor's degrees awarded in Theology and religious vocationsr=0.9710yrs384
US birth rates of triplets or morer=0.9220yrs382
Google searches for 'learn spanish'r=0.9519yrs379
Burglaries in Connecticutr=0.9838yrs378
The wind speed in San Diegor=0.9339yrs376
Milk consumptionr=0.9132yrs374
The marriage rate in Arkansasr=0.9623yrs373
Arson in Californiar=0.9738yrs367
Air pollution in Oxnard, Californiar=0.9641yrs364
The marriage rate in South Carolinar=0.9623yrs363
The number of telemarketers in Illinoisr=0.9720yrs363
Burglaries in Floridar=0.9738yrs357
Air pollution in Riverside, Californiar=0.9543yrs354
The divorce rate in Alabamar=0.9523yrs353
The number of typists in Iowar=0.9820yrs353
Kerosene used in Brazilr=0.9442yrs348
Motor vehicle thefts in New Jerseyr=0.9738yrs347
The number of CEOs in Kentuckyr=0.9720yrs343
The marriage rate in Arizonar=0.9523yrs342
Gasoline pumped in Cubar=0.9442yrs338
Arson in New Jerseyr=0.9638yrs336
The number of typists in Michiganr=0.9820yrs333
The marriage rate in Virginiar=0.9523yrs332
Kerosene used in Venezuelar=0.9442yrs328
Burglaries in Minnesotar=0.9638yrs326
The number of telemarketers in New Jerseyr=0.9720yrs323
Burglaries in New Jerseyr=0.9638yrs316
Kerosene used in Uruguayr=0.9342yrs316
The number of prepress technicians and workers in New Yorkr=0.9820yrs313
Burglaries in Virginiar=0.9638yrs306
Gasoline pumped in Austriar=0.9143yrs304
The number of prepress technicians and workers in North Carolinar=0.9820yrs303
Burglaries in Californiar=0.9638yrs296
Gasoline pumped in Bulgariar=0.9242yrs294
Carjackings in the USr=0.9527yrs293
The number of switchboard operators in West Virginiar=0.9820yrs293
The marriage rate in South Dakotar=0.9523yrs292
Kerosene used in Pakistanr=0.9242yrs284
The number of data entry keyers in Alabamar=0.9720yrs282
The marriage rate in Idahor=0.9423yrs280
Motor vehicle thefts in Rhode Islandr=0.9638yrs276
Kerosene used in Perur=0.9242yrs274
The number of telemarketers in Californiar=0.9620yrs272
The marriage rate in Kentuckyr=0.9323yrs268
Motor vehicle thefts in Illinoisr=0.9638yrs266
Petroluem consumption in Romaniar=0.9142yrs263
The number of switchboard operators in Floridar=0.9720yrs262
The marriage rate in Wisconsinr=0.9323yrs258
Burglaries in Illinoisr=0.9538yrs254
The number of typists in Floridar=0.9720yrs252
Kerosene used in Turkiyer=0.943yrs252
The marriage rate in Wyomingr=0.9323yrs248
Burglaries in New Mexicor=0.9538yrs244
The number of switchboard operators in Indianar=0.9720yrs242
Gasoline pumped in Germanyr=0.9532yrs239
The marriage rate in Alabamar=0.9223yrs237
Burglaries in Rhode Islandr=0.9538yrs234
The number of advertising and promotions managers in Louisianar=0.9720yrs232
The marriage rate in Missourir=0.9223yrs227
Motor vehicle thefts in New Hampshirer=0.9538yrs224
Petroluem consumption in Uzbekistanr=0.9330yrs224
The number of typists in Massachusettsr=0.9720yrs222
The divorce rate in North Carolinar=0.9123yrs217
Petroluem consumption in Germanyr=0.9132yrs213
The number of switchboard operators in Michiganr=0.9720yrs212
The marriage rate in North Carolinar=0.9123yrs206
The number of typists in Ohior=0.9720yrs202
The divorce rate in Ohior=0.923yrs196


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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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