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

VariableCorrelationYearsSys. Score
Violent crime ratesr=0.9738yrs457
Motor vehicle theftsr=0.9638yrs436
Robberies in the USr=0.9538yrs434
Remaining Forest Cover in the Brazilian Amazonr=0.9636yrs432
Physical album shipment volume in the United Statesr=0.9724yrs416
The marriage rate in Nevadar=0.9823yrs416
The divorce rate in Tennesseer=0.9623yrs414
The marriage rate in Idahor=0.9623yrs413
Liquefied petroleum gas used in Greenlandr=0.9622yrs410
Gasoline pumped in Francer=0.9343yrs397
US household spending on booksr=0.9723yrs394
Gasoline pumped in Austriar=0.9143yrs394
The number of telemarketers in Californiar=0.9620yrs392
The number of computer programmers in Kentuckyr=0.9620yrs392
The number of CEOs in South Carolinar=0.9620yrs392
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.9622yrs389
US average milk-fat content of frozen dairy productsr=0.9522yrs388
Arson in North Carolinar=0.9738yrs387
US birth rates of triplets or morer=0.9420yrs384
The marriage rate in Tennesseer=0.9623yrs383
Google searches for 'report UFO sighting'r=0.9119yrs379
Google searches for 'learn spanish'r=0.9419yrs378
Arson in Texasr=0.9738yrs377
US milk fat used to produce fluid beverage milkr=0.9222yrs376
The wind speed in Austinr=0.9339yrs376
Google searches for 'desktop background'r=0.9416yrs374
Google searches for 'black holes'r=0.9219yrs374
The marriage rate in Wyomingr=0.9623yrs373
United States music album salesr=0.9316yrs372
GMO use in corn grown in Texasr=0.9518yrs372
The wind speed in San Diegor=0.939yrs372
Motor vehicle thefts in Pennsylvaniar=0.9738yrs367
Viewership count for Days of Our Livesr=0.8647yrs366
Kerosene used in Thailandr=0.9242yrs364
Customer satisfaction with Verizonr=0.8628yrs364
The divorce rate in North Carolinar=0.9523yrs363
The number of brickmasons in Alabamar=0.9620yrs360
AIG's stock price (AIG)r=0.8921yrs360
US household spending on clothingr=0.9423yrs360
US household spending on clothing for menr=0.9423yrs360
US household spending on clothin for womenr=0.9423yrs360
GMO use in cottonr=0.9123yrs358
Lloyds Banking Group's stock price (LYG)r=0.8721yrs358
Motor vehicle thefts in Floridar=0.9738yrs357
US household spending on processed fruitsr=0.9223yrs357
Air pollution in Oxnard, Californiar=0.943yrs357
Air pollution in Philadelphia, Pennsylvaniar=0.943yrs357
Air pollution in Philadelphia, Pennsylvaniar=0.943yrs357
Kerosene used in Argentinar=0.9142yrs353
The marriage rate in Arkansasr=0.9523yrs352
The number of postal service machine operators in Colorador=0.9620yrs350
Arson in New Jerseyr=0.9638yrs346
Milk consumptionr=0.9232yrs345
Kerosene used in Uruguayr=0.942yrs342
Google searches for 'Britney Spears'r=0.9315yrs342
The number of prepress technicians and workers in Illinoisr=0.9620yrs340
Arson in Connecticutr=0.9638yrs336
Frozen yogurt consumptionr=0.9332yrs335
The number of switchboard operators in Indianar=0.9620yrs330
Gasoline pumped in Germanyr=0.9532yrs329
Carjackings in the USr=0.9427yrs327
Burglaries in District of Columbiar=0.9638yrs326
The number of postal service machine operators in Indianar=0.9620yrs320
Motor vehicle thefts in Illinoisr=0.9638yrs316
Petroluem consumption in Germanyr=0.9232yrs314
The divorce rate in Alabamar=0.9523yrs313
The number of postal service machine operators in Minnesotar=0.9620yrs310
Robberies in Illinoisr=0.9638yrs306
The marriage rate in Alabamar=0.9523yrs302
Petroluem consumption in Uzbekistanr=0.9230yrs302
The number of postal service machine operators in Missourir=0.9620yrs300
The marriage rate in South Dakotar=0.9523yrs292
The number of postal service machine operators in Nebraskar=0.9620yrs290
Arson in United Statesr=0.9438yrs282
The number of switchboard operators in New Jerseyr=0.9620yrs280
The marriage rate in Ohior=0.9423yrs280
Gasoline pumped in Belgiumr=0.8943yrs271
The number of typists in New Jerseyr=0.9620yrs270
The marriage rate in Virginiar=0.9423yrs270
The number of chemical plant and system operators in New Jerseyr=0.9620yrs260
Petroluem consumption in Denmarkr=0.8843yrs260
The marriage rate in Arizonar=0.9323yrs258
The number of floral designers in North Carolinar=0.9620yrs250
Fossil fuel use in Sierra Leoner=0.8642yrs248
The marriage rate in Kentuckyr=0.9223yrs247
Robberies in Louisianar=0.9538yrs244
The number of postal service machine operators in Ohior=0.9620yrs240
Petroluem consumption in Naurur=0.8842yrs238
The marriage rate in South Carolinar=0.9223yrs237
Robberies in Marylandr=0.9538yrs234
The number of postal service machine operators in Oklahomar=0.9620yrs230
The divorce rate in Kentuckyr=0.9123yrs227
Robberies in New Jerseyr=0.9538yrs224
The number of postal service machine operators in Washingtonr=0.9620yrs220
The divorce rate in Wyomingr=0.9123yrs217
Arson in Wyomingr=0.9438yrs212
The number of hydrologists in Wisconsinr=0.9620yrs210
The divorce rate in Ohior=0.923yrs206
Burglaries in Kansasr=0.9438yrs202
The number of postal service machine operators in Wisconsinr=0.9620yrs200
Motor vehicle thefts in Ohior=0.9438yrs192


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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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