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

VariableCorrelationYearsHas img?
Air pollution in San Diego, Californiar=0.9843yrsNo
Air pollution in San Diego, Californiar=0.9743yrsYes!
Burglaries in New Yorkr=0.9738yrsNo
US birth rates of triplets or morer=0.9320yrsNo


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

VariableCorrelationYearsSys. Score
Kerosene used in Venezuelar=0.9642yrs430
Kerosene used in Argentinar=0.9542yrs429
Carjackings in the USr=0.9627yrs424
Arson in New Yorkr=0.9638yrs416
The marriage rate in Nevadar=0.9723yrs414
The marriage rate in South Carolinar=0.9723yrs414
The divorce rate in Tennesseer=0.9623yrs414
Viewership count for Days of Our Livesr=0.947yrs402
Air pollution in Los Angelesr=0.9643yrs399
Gasoline pumped in Somaliar=0.9542yrs399
Air pollution in Los Angelesr=0.9543yrs398
Remaining Forest Cover in the Brazilian Amazonr=0.9136yrs394
US household spending on booksr=0.9523yrs392
The number of data entry keyers in Mainer=0.9620yrs390
The number of typists in Massachusettsr=0.9620yrs390
The number of prepress technicians and workers in New Yorkr=0.9620yrs390
US average milk-fat content of frozen dairy productsr=0.9522yrs388
Burglaries in Connecticutr=0.9638yrs386
The distance between Neptune and Earthr=0.9348yrs385
The distance between Neptune and Mercuryr=0.9348yrs385
The distance between Neptune and the moonr=0.9348yrs385
The marriage rate in Tennesseer=0.9623yrs383
Physical album shipment volume in the United Statesr=0.9424yrs381
Average number of milk cows in the United Statesr=0.8643yrs381
The wind speed in Austinr=0.9239yrs374
Google searches for 'panama canal'r=0.9119yrs373
The marriage rate in Ohior=0.9523yrs372
Gasoline pumped in Bulgariar=0.9442yrs368
Customer satisfaction with Verizonr=0.8628yrs364
Customer satisfaction with Frontier Communicationsr=0.8628yrs364
US household spending on clothingr=0.9523yrs362
The number of switchboard operators in Tennesseer=0.9620yrs360
Highest Nielsen rating for a TV show each yearr=0.8546yrs360
US household spending on clothing for menr=0.9423yrs360
Burglary rates in the USr=0.9138yrs358
Petroluem consumption in Romaniar=0.9442yrs358
The distance between Neptune and the Sunr=0.9248yrs354
Air pollution in Oxnard, Californiar=0.9541yrs352
The number of maintenance workers, machinery in New Jerseyr=0.9520yrs348
Kerosene used in Turkiyer=0.9343yrs347
Gasoline pumped in Cubar=0.9342yrs336
The number of tax examiners and collectors, and revenue agents in Louisianar=0.9713yrs334
Burglaries in Texasr=0.9538yrs334
The marriage rate in Arkansasr=0.9523yrs332
Kerosene used in Cubar=0.9342yrs326
Motor vehicle thefts in Massachusettsr=0.9538yrs324
The marriage rate in Arizonar=0.9423yrs320
Kerosene used in Egyptr=0.9342yrs316
Air pollution in Riverside, Californiar=0.9443yrs313
Burglaries in Rhode Islandr=0.9438yrs312
The marriage rate in Kentuckyr=0.9423yrs310
Kerosene used in Thailandr=0.9342yrs306
Burglaries in Californiar=0.9438yrs302
The marriage rate in Virginiar=0.9423yrs300
Air pollution in Oxnard, Californiar=0.9243yrs300
The number of switchboard operators in Massachusettsr=0.9520yrs298
Kerosene used in Brazilr=0.9242yrs294
Motor vehicle thefts in New Jerseyr=0.9438yrs292
The divorce rate in Alabamar=0.9323yrs290
The number of file clerks in Minnesotar=0.9520yrs288
Gasoline pumped in Francer=0.9143yrs284
Motor vehicle thefts in Rhode Islandr=0.9438yrs282
The marriage rate in Idahor=0.9323yrs278
The number of switchboard operators in Missourir=0.9520yrs278
Petroluem consumption in Bulgariar=0.9142yrs273
Robberies in New Yorkr=0.9438yrs272
The marriage rate in South Dakotar=0.9323yrs268
The number of prepress technicians and workers in Colorador=0.9420yrs267
Kerosene used in Pakistanr=0.9142yrs263
Robberies in Oregonr=0.9438yrs262
The divorce rate in New Hampshirer=0.9223yrs258
The number of travel agents in Connecticutr=0.9420yrs257
Kerosene used in Ecuadorr=0.942yrs252
Burglaries in Floridar=0.9338yrs251
The marriage rate in Alabamar=0.9223yrs247
The number of switchboard operators in Georgiar=0.9420yrs247
Kerosene used in Mexicor=0.9240yrs242
Burglaries in Colorador=0.9338yrs241
The divorce rate in North Carolinar=0.9123yrs237
The number of telemarketers in Illinoisr=0.9320yrs237
Kerosene used in Uruguayr=0.942yrs232
Motor vehicle thefts in Oklahomar=0.9338yrs231
The number of bill collectors in Illinoisr=0.9320yrs227
The marriage rate in Minnesotar=0.9123yrs226
Burglaries in New Mexicor=0.9238yrs220
The number of telemarketers in Kansasr=0.9320yrs217
Jet fuel used in Ukrainer=0.9430yrs216
The marriage rate in Missourir=0.9123yrs216
Burglaries in Oklahomar=0.9238yrs210
The number of switchboard operators in Michiganr=0.9420yrs207
The marriage rate in North Carolinar=0.9123yrs206
Petroluem consumption in Ukrainer=0.9130yrs201
Burglaries in Oregonr=0.9238yrs200
The marriage rate in Wyomingr=0.9123yrs196
Motor vehicle thefts in Mainer=0.9238yrs190
Petroluem consumption in Azerbaijanr=0.930yrs190
The divorce rate in Ohior=0.923yrs186


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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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