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

VariableCorrelationYearsSys. Score
Kerosene used in Turkiyer=0.9743yrs433
Gasoline pumped in Bulgariar=0.9642yrs430
Kerosene used in Mexicor=0.9740yrs430
Carjackings in the USr=0.9527yrs423
US birth rates of triplets or morer=0.9820yrs420
Average number of milk cows in the United Statesr=0.9143yrs418
Arson in New Yorkr=0.9838yrs418
Burglaries in Colorador=0.9838yrs418
The marriage rate in Arkansasr=0.9823yrs416
The marriage rate in Nevadar=0.9823yrs416
The divorce rate in North Carolinar=0.9723yrs416
Physical album shipment volume in the United Statesr=0.9624yrs414
Cigarette Smoking Rate for US adultsr=0.9521yrs410
United States music album salesr=0.9816yrs409
Remaining Forest Cover in the Brazilian Amazonr=0.9536yrs400
Air pollution in Los Angelesr=0.9543yrs398
US household spending on clothingr=0.9823yrs396
Air pollution in San Diego, Californiar=0.9643yrs396
The number of bill collectors in Illinoisr=0.9820yrs394
The number of telemarketers in New Yorkr=0.9820yrs394
The number of data entry keyers in New Yorkr=0.9920yrs394
US household spending on clothin for womenr=0.9723yrs394
Air pollution in Oxnard, Californiar=0.9641yrs394
US household spending on clothing for menr=0.9623yrs393
Portion of all US dairy skim-solids allocated to the production of frozen dairy productsr=0.9822yrs392
US average milk-fat content of frozen dairy productsr=0.9822yrs392
Robberies in Oregonr=0.9838yrs388
The divorce rate in Tennesseer=0.9723yrs386
Associates degrees awarded in Business operationsr=0.9811yrs386
Associates degrees awarded in health assistancer=0.9811yrs386
Master's degrees awarded in gender studiesr=0.9810yrs386
The distance between Neptune and Mercuryr=0.9448yrs386
The distance between Neptune and Earthr=0.9348yrs385
The distance between Neptune and the moonr=0.9348yrs385
Burglaries in New Yorkr=0.9738yrs377
The marriage rate in Idahor=0.9723yrs374
Petroluem consumption in Bulgariar=0.9442yrs368
Burglaries in Oregonr=0.9738yrs367
The marriage rate in South Dakotar=0.9723yrs364
The number of millwrights in Wisconsinr=0.9920yrs364
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.9722yrs360
Kerosene used in Uruguayr=0.9442yrs358
Burglaries in Californiar=0.9738yrs357
Master's degrees awarded in linguisticsr=0.9810yrs356
The divorce rate in Kentuckyr=0.9623yrs354
The distance between Neptune and the Sunr=0.9248yrs354
The number of telemarketers in Californiar=0.9720yrs353
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milkr=0.9622yrs349
Kerosene used in Venezuelar=0.9442yrs348
Burglaries in Oklahomar=0.9638yrs346
Bachelor's degrees awarded in literaturer=0.9710yrs344
The marriage rate in Alabamar=0.9623yrs343
The number of sewing machine operators in Californiar=0.9820yrs343
Burglaries in Texasr=0.9638yrs336
Kerosene used in Ecuadorr=0.9342yrs336
Bachelor's degrees awarded in linguisticsr=0.9710yrs334
The marriage rate in Virginiar=0.9623yrs333
The number of switchboard operators in Massachusettsr=0.9820yrs333
Burglaries in Connecticutr=0.9638yrs326
Petroluem consumption in Romaniar=0.9342yrs326
Master's degrees awarded in Liberal artsr=0.9710yrs324
The divorce rate in New Hampshirer=0.9523yrs323
The number of prepress technicians and workers in Michiganr=0.9820yrs323
Motor vehicle thefts in Massachusettsr=0.9638yrs316
Gasoline pumped in Somaliar=0.9342yrs316
The divorce rate in Ohior=0.9523yrs313
The number of file clerks in Minnesotar=0.9820yrs313
Associates degrees awarded in Accountingr=0.9611yrs312
Burglaries in Rhode Islandr=0.9538yrs304
Kerosene used in Portugalr=0.9143yrs304
The number of computer programmers in New Jerseyr=0.9720yrs303
The marriage rate in Tennesseer=0.9523yrs302
The number of sewing machine operators in New Yorkr=0.9820yrs293
Kerosene used in Argentinar=0.9142yrs293
The marriage rate in Wyomingr=0.9523yrs292
The number of switchboard operators in North Carolinar=0.9820yrs283
Kerosene used in Brazilr=0.9142yrs283
Burglary rates in the USr=0.9438yrs282
The number of file clerks in Ohior=0.9820yrs273
Gasoline pumped in Cubar=0.9142yrs273
Arson in United Statesr=0.9338yrs271
The number of switchboard operators in Oklahomar=0.9820yrs263
Kerosene used in Cubar=0.9142yrs263
Arson in Idahor=0.9722yrs261
The number of postal service machine operators in Oregonr=0.9820yrs253
Kerosene used in Hong Kongr=0.9142yrs253
The divorce rate in Alabamar=0.9523yrs253
The number of counter and rental clerks in Pennsylvaniar=0.9820yrs243
Kerosene used in Thailandr=0.9142yrs243
The divorce rate in Oregonr=0.9523yrs243
Burglaries in Washingtonr=0.9538yrs234
The divorce rate in Wyomingr=0.9523yrs233
The number of switchboard operators in Californiar=0.9720yrs232
Robberies in Michiganr=0.9538yrs224
The number of file clerks in Californiar=0.9720yrs222
The marriage rate in Kentuckyr=0.9523yrs222
The number of recreational therapists in Connecticutr=0.9720yrs212
The marriage rate in Ohior=0.9523yrs212
The number of travel agents in Connecticutr=0.9720yrs202
The marriage rate in South Carolinar=0.9523yrs202
The divorce rate in Floridar=0.9423yrs192


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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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