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

VariableCorrelationYearsSys. Score
Arson in United Statesr=0.9738yrs437
Burglary rates in the USr=0.9738yrs437
Robberies in the USr=0.9738yrs437
Remaining Forest Cover in the Brazilian Amazonr=0.9736yrs434
Gasoline pumped in Austriar=0.9743yrs433
Kerosene used in Egyptr=0.9742yrs432
Gasoline pumped in Francer=0.9543yrs430
US birth rates of triplets or morer=0.9620yrs418
The divorce rate in Kentuckyr=0.9723yrs416
Cigarette Smoking Rate for US adultsr=0.9821yrs414
The divorce rate in Wyomingr=0.9623yrs414
The divorce rate in North Carolinar=0.9523yrs413
Google searches for 'desktop background'r=0.9616yrs408
Kerosene used in Pakistanr=0.9542yrs399
The number of telemarketers in Massachusettsr=0.9920yrs396
The number of computer programmers in New Yorkr=0.9920yrs396
The number of switchboard operators in Arizonar=0.9820yrs393
Violent crime ratesr=0.9338yrs391
Air pollution in Steamboat Springs, Colorador=0.9638yrs391
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milkr=0.9722yrs390
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.9522yrs388
The distance between Neptune and the Sunr=0.9248yrs384
The distance between Neptune and Earthr=0.9148yrs382
The distance between Neptune and the moonr=0.9148yrs382
Number of articles Matt Levine published on Bloomberg on Fridaysr=0.989yrs382
Associates degrees awarded in Accountingr=0.9511yrs381
The wind speed in Austinr=0.9539yrs379
Burglaries in Floridar=0.9838yrs378
The wind speed in San Diegor=0.9439yrs378
Physical album shipment volume in the United Statesr=0.9124yrs376
Milk consumptionr=0.9332yrs376
NASA's budget as a percentage of the total US Federal Budgetr=0.8948yrs374
Google searches for 'shook'r=0.9219yrs374
Pirate attacks globallyr=0.9114yrs371
Viewership count for Days of Our Livesr=0.8847yrs370
United States music album salesr=0.9216yrs370
Global iPod Salesr=0.959yrs369
Burglaries in Illinoisr=0.9838yrs368
Gasoline pumped in Kosovor=0.9714yrs364
Air pollution in Oxnard, Californiar=0.9543yrs364
The number of switchboard operators in Arkansasr=0.9820yrs363
Air pollution in Los Angelesr=0.9243yrs363
GMO use in cottonr=0.9323yrs362
Burglaries in Virginiar=0.9838yrs358
The number of computer programmers in North Carolinar=0.9720yrs353
The divorce rate in Idahor=0.9523yrs353
Kerosene used in Argentinar=0.9542yrs349
Burglaries in Connecticutr=0.9838yrs348
Cottage cheese consumptionr=0.9432yrs346
The number of computer programmers in Ohior=0.9720yrs343
The divorce rate in Mainer=0.9523yrs343
Kerosene used in Thailandr=0.9542yrs339
Motor vehicle thefts in Massachusettsr=0.9838yrs338
US production of fluid beverage milkr=0.9222yrs336
The number of human resources assistants in Wisconsinr=0.9820yrs333
The divorce rate in Arkansasr=0.9423yrs332
Air pollution in Riverside, Californiar=0.9343yrs332
Motor vehicle thefts in New Jerseyr=0.9838yrs328
Kerosene used in Cubar=0.9242yrs324
The number of prepress technicians and workers in Arkansasr=0.9720yrs322
The divorce rate in Missourir=0.9423yrs322
Frozen yogurt consumptionr=0.9132yrs322
Robberies in Connecticutr=0.9838yrs318
Kerosene used in North Korear=0.9142yrs313
The number of computer programmers in Floridar=0.9620yrs312
The divorce rate in Oregonr=0.9423yrs312
Robberies in Connecticutr=0.9838yrs308
The number of file clerks in Iowar=0.9720yrs302
The divorce rate in New Hampshirer=0.9323yrs300
Burglaries in Kansasr=0.9738yrs297
Gasoline pumped in Latviar=0.9331yrs295
The number of computer programmers in Kansasr=0.9620yrs292
The divorce rate in Texasr=0.9323yrs290
Burglaries in Marylandr=0.9738yrs287
The number of data entry keyers in Minnesotar=0.9720yrs282
The divorce rate in Virginiar=0.9323yrs280
Liquefied petroleum gas used in Belarusr=0.930yrs280
Burglaries in Massachusettsr=0.9738yrs277
The number of typists in Mississippir=0.9720yrs272
The divorce rate in Washingtonr=0.9323yrs270
Burglaries in New Jerseyr=0.9738yrs267
Geothermal power generated in Austriar=0.9317yrs264
The number of advertising and promotions managers in Nevadar=0.9720yrs262
The divorce rate in Wisconsinr=0.9323yrs260
Burglaries in New Yorkr=0.9738yrs257
The number of telemarketers in North Dakotar=0.9620yrs252
The divorce rate in Alabamar=0.9223yrs248
Robberies in New Yorkr=0.9738yrs247
The number of switchboard operators in Oklahomar=0.9720yrs242
The divorce rate in Colorador=0.9223yrs238
Robberies in Washingtonr=0.9738yrs237
The number of file clerks in Pennsylvaniar=0.9720yrs232
The divorce rate in Floridar=0.9223yrs228
Arson in New Jerseyr=0.9638yrs226
The number of painting, coating, and decorating workers in Pennsylvaniar=0.9720yrs222
The divorce rate in Illinoisr=0.9223yrs218
The number of file clerks in South Dakotar=0.9720yrs212
The divorce rate in Mississippir=0.9223yrs208
The number of legislators in Tennesseer=0.9620yrs202
The divorce rate in Nevadar=0.9223yrs198
The divorce rate in Ohior=0.9223yrs188


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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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