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

VariableCorrelationYearsSys. Score
Arson in United Statesr=0.9738yrs437
Burglary rates in the USr=0.9738yrs437
Remaining Forest Cover in the Brazilian Amazonr=0.9836yrs435
Gasoline pumped in Francer=0.9543yrs430
Kerosene used in Thailandr=0.9642yrs430
Kerosene used in Argentinar=0.9542yrs429
US birth rates of triplets or morer=0.9820yrs420
Burglaries in New Yorkr=0.9938yrs420
The divorce rate in Kentuckyr=0.9723yrs416
The marriage rate in Arkansasr=0.9723yrs414
The marriage rate in South Dakotar=0.9723yrs414
Cigarette Smoking Rate for US adultsr=0.9721yrs412
Physical album shipment volume in the United Statesr=0.9524yrs412
United States music album salesr=0.9816yrs409
Google searches for 'desktop background'r=0.9716yrs409
The wind speed in Austinr=0.9539yrs409
Patents granted to Toshibar=0.9512yrs400
Kerosene used in Egyptr=0.9542yrs399
Air pollution in Los Angelesr=0.9643yrs399
Air pollution in Oxnard, Californiar=0.9643yrs396
Air pollution in San Diego, Californiar=0.9643yrs396
The number of data entry keyers in Minnesotar=0.9920yrs394
US household spending on clothingr=0.9723yrs394
The number of switchboard operators in Californiar=0.9820yrs393
The number of recreational therapists in Connecticutr=0.9820yrs393
US household spending on clothin for womenr=0.9623yrs393
US household spending on clothing for menr=0.9523yrs392
Portion of all US dairy skim-solids allocated to the production of frozen dairy productsr=0.9722yrs390
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milkr=0.9722yrs390
Burglaries in Connecticutr=0.9938yrs390
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.9722yrs390
The distance between Neptune and the Sunr=0.9548yrs388
The distance between Neptune and Earthr=0.9548yrs388
The distance between Neptune and Mercuryr=0.9548yrs388
Associates degrees awarded in Business operationsr=0.9811yrs386
Bachelor's degrees awarded in linguisticsr=0.9810yrs386
Associates degrees awarded in Accountingr=0.9711yrs384
The divorce rate in North Carolinar=0.9623yrs384
Burglaries in Floridar=0.9838yrs378
The divorce rate in Tennesseer=0.9623yrs374
Burglaries in Virginiar=0.9838yrs368
Geothermal power generated in Austriar=0.9517yrs367
The divorce rate in Wyomingr=0.9623yrs364
Air pollution in Oxnard, Californiar=0.9641yrs364
The number of human resources assistants in District of Columbiar=0.9820yrs363
US average milk-fat content of frozen dairy productsr=0.9722yrs360
The distance between Neptune and the moonr=0.9548yrs358
Burglaries in Californiar=0.9838yrs358
Bachelor's degrees awarded in literaturer=0.9710yrs354
The marriage rate in Alabamar=0.9623yrs353
The number of bill collectors in Illinoisr=0.9720yrs353
Kerosene used in Cubar=0.9542yrs349
Motor vehicle thefts in Massachusettsr=0.9838yrs348
Master's degrees awarded in gender studiesr=0.9710yrs344
The marriage rate in Nevadar=0.9623yrs343
The number of telemarketers in Massachusettsr=0.9720yrs343
Gasoline pumped in Cubar=0.9442yrs338
Burglaries in Illinoisr=0.9738yrs337
The marriage rate in Wyomingr=0.9623yrs333
The number of file clerks in Massachusettsr=0.9820yrs333
Kerosene used in Venezuelar=0.9442yrs328
Burglaries in Minnesotar=0.9738yrs327
The divorce rate in Ohior=0.9523yrs323
The number of computer programmers in New Yorkr=0.9720yrs323
Burglaries in Arizonar=0.9738yrs317
Gasoline pumped in Austriar=0.9243yrs316
The divorce rate in Oregonr=0.9523yrs313
The number of telemarketers in New Yorkr=0.9720yrs313
Burglaries in New Jerseyr=0.9738yrs307
Kerosene used in Brazilr=0.9342yrs306
The number of file clerks in New Yorkr=0.9820yrs303
The marriage rate in Idahor=0.9523yrs302
Burglaries in New Mexicor=0.9738yrs297
Gasoline pumped in Bulgariar=0.9342yrs296
The number of switchboard operators in North Carolinar=0.9820yrs293
Carjackings in the USr=0.9227yrs288
Burglaries in Rhode Islandr=0.9738yrs287
Kerosene used in Pakistanr=0.9242yrs284
The number of file clerks in Ohior=0.9820yrs283
Robberies in Michiganr=0.9738yrs277
Kerosene used in Turkiyer=0.9143yrs274
The number of switchboard operators in Oklahomar=0.9820yrs273
Arson in New Jerseyr=0.9638yrs266
Kerosene used in Uruguayr=0.9242yrs264
The divorce rate in Alabamar=0.9523yrs263
The number of counter and rental clerks in Pennsylvaniar=0.9820yrs263
Arson in Californiar=0.9638yrs256
The divorce rate in Floridar=0.9523yrs253
The number of bill collectors in Washingtonr=0.9720yrs253
Petroluem consumption in Romaniar=0.9142yrs253
Burglaries in Marylandr=0.9638yrs246
The divorce rate in Mainer=0.9523yrs243
The number of millwrights in Wisconsinr=0.9820yrs243
Gasoline pumped in Somaliar=0.9142yrs243
Burglaries in Massachusettsr=0.9638yrs236
The number of boiler operators in Wisconsinr=0.9820yrs233
Burglaries in Oklahomar=0.9638yrs226
Gasoline pumped in Latviar=0.9231yrs224
The number of switchboard operators in Alabamar=0.9720yrs222
The number of switchboard operators in Arizonar=0.9720yrs212
The number of prepress technicians and workers in Arkansasr=0.9720yrs202


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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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