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

VariableCorrelationYearsHas img?
US household spending on booksr=0.9823yrsNo
Robberies in Oregonr=0.9838yrsNo
Carjackings in the USr=0.9727yrsNo
The number of typists in Iowar=0.9620yrsNo
Kerosene used in Turkiyer=0.9643yrsNo
Google searches for 'learn spanish'r=0.9319yrsNo
Frozen yogurt consumptionr=0.932yrsNo
Average number of milk cows in the United Statesr=0.943yrsNo



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

VariableCorrelationYearsSys. Score
Gasoline pumped in Bulgariar=0.9642yrs430
Kerosene used in Venezuelar=0.9642yrs430
Burglaries in New Yorkr=0.9838yrs418
The marriage rate in Tennesseer=0.9823yrs416
Physical album shipment volume in the United Statesr=0.9624yrs414
The marriage rate in Nevadar=0.9723yrs414
The divorce rate in Tennesseer=0.9623yrs414
Google searches for 'panama canal'r=0.9619yrs410
Google searches for 'Panama Canal'r=0.9619yrs410
Google searches for 'black holes'r=0.9619yrs410
Viewership count for Days of Our Livesr=0.947yrs402
Remaining Forest Cover in the Brazilian Amazonr=0.9436yrs399
Air pollution in Los Angelesr=0.9643yrs399
Air pollution in Los Angelesr=0.9643yrs399
Air pollution in San Diego, Californiar=0.9743yrs398
Kerosene used in Mexicor=0.9540yrs397
The number of typists in Michiganr=0.9820yrs393
The number of proofreaders in Pennsylvaniar=0.9820yrs393
The number of data entry keyers in Californiar=0.9720yrs392
The distance between Neptune and Earthr=0.9548yrs388
The distance between Neptune and Mercuryr=0.9548yrs388
The distance between Neptune and the moonr=0.9548yrs388
Arson in New Yorkr=0.9738yrs387
The marriage rate in Ohior=0.9623yrs383
Burglaries in Californiar=0.9738yrs377
Ticket sales for Arizona Diamondbacks gamesr=0.9122yrs376
The wind speed in Austinr=0.9339yrs376
The wind speed in Nashviller=0.9239yrs374
US milk fat used to produce fluid beverage milkr=0.922yrs373
Total annual sales of Ford Motors in the United Statesr=0.9123yrs372
The wind speed in San Diegor=0.939yrs372
Burglaries in Colorador=0.9738yrs367
Air pollution in Oxnard, Californiar=0.9741yrs366
The number of switchboard operators in Floridar=0.9720yrs362
Petroluem consumption in Romaniar=0.9542yrs359
Burglaries in Connecticutr=0.9738yrs357
Air pollution in San Diego, Californiar=0.9643yrs356
The distance between Neptune and the Sunr=0.9448yrs356
The number of file clerks in Georgiar=0.9720yrs352
Kerosene used in Argentinar=0.9442yrs348
Burglaries in Oregonr=0.9638yrs346
The number of advertising and promotions managers in Louisianar=0.9720yrs342
The marriage rate in Arkansasr=0.9523yrs342
Gasoline pumped in Cubar=0.9442yrs338
Motor vehicle thefts in Massachusettsr=0.9638yrs336
The number of file clerks in Marylandr=0.9720yrs332
The marriage rate in South Carolinar=0.9523yrs332
Kerosene used in Cubar=0.9442yrs328
Motor vehicle thefts in Oklahomar=0.9538yrs324
The number of file clerks in Michiganr=0.9720yrs322
The divorce rate in Alabamar=0.9423yrs322
Gasoline pumped in Somaliar=0.9442yrs318
The number of prepress technicians and workers in New Yorkr=0.9720yrs312
The marriage rate in Virginiar=0.9423yrs310
Kerosene used in Thailandr=0.9442yrs308
The number of prepress technicians and workers in North Carolinar=0.9720yrs302
Arson in United Statesr=0.9338yrs301
Kerosene used in Uruguayr=0.9442yrs298
The marriage rate in Arizonar=0.9323yrs298
The number of advertising and promotions managers in Tennesseer=0.9720yrs292
Burglary rates in the USr=0.9338yrs291
The marriage rate in Idahor=0.9323yrs288
Kerosene used in Brazilr=0.9342yrs286
The number of advertising and promotions managers in Colorador=0.9620yrs280
The marriage rate in South Dakotar=0.9323yrs278
Petroluem consumption in Bulgariar=0.9342yrs276
The number of typists in Floridar=0.9620yrs270
The marriage rate in Kentuckyr=0.9223yrs267
Kerosene used in Ecuadorr=0.9342yrs266
Burglaries in Rhode Islandr=0.9538yrs264
The number of switchboard operators in Indianar=0.9620yrs260
The marriage rate in Wyomingr=0.9223yrs257
Gasoline pumped in Francer=0.9243yrs256
Burglaries in Texasr=0.9538yrs254
The number of typists in Indianar=0.9620yrs250
The marriage rate in Alabamar=0.9123yrs246
Kerosene used in Egyptr=0.9142yrs243
Arson in Colorador=0.9438yrs242
The marriage rate in Wisconsinr=0.9123yrs236
Burglaries in Floridar=0.9438yrs232
The number of sewing machine operators in Kentuckyr=0.9620yrs230
Petroluem consumption in Uzbekistanr=0.9330yrs224
The marriage rate in Missourir=0.923yrs224
Burglaries in New Mexicor=0.9438yrs222
The number of sewing machine operators in Louisianar=0.9620yrs220
Burglaries in Oklahomar=0.9438yrs212
Gasoline pumped in Germanyr=0.932yrs212
The number of typists in Massachusettsr=0.9620yrs210
Motor vehicle thefts in New Jerseyr=0.9438yrs202
Jet fuel used in Ukrainer=0.9130yrs201
The number of switchboard operators in Michiganr=0.9620yrs200
Robberies in New Yorkr=0.9438yrs192
Liquefied petroleum gas used in Greenlandr=0.9222yrs184


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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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