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

VariableCorrelationYearsHas img?
The number of microbiologists in West Virginiar=0.9517yrsNo
The number of industrial truck and tractor operators in Wisconsinr=0.917yrsNo


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

VariableCorrelationYearsSys. Score
Violent crime ratesr=0.9735yrs454
Robberies in the USr=0.9635yrs432
Carjackings in the USr=0.9625yrs422
The marriage rate in Nevadar=0.9621yrs411
The marriage rate in Ohior=0.9621yrs411
The marriage rate in Tennesseer=0.9621yrs411
Customer satisfaction with Verizonr=0.926yrs398
Remaining Forest Cover in the Brazilian Amazonr=0.9433yrs396
Petroluem consumption in North Korear=0.9140yrs391
The number of file clerks in Michiganr=0.9817yrs390
US household spending on booksr=0.9620yrs390
Gasoline pumped in Austriar=0.940yrs390
Kerosene used in Egyptr=0.940yrs390
The number of computer programmers in Colorador=0.9617yrs388
The number of file clerks in Georgiar=0.9717yrs388
Robberies in Illinoisr=0.9735yrs384
The marriage rate in South Carolinar=0.9521yrs380
US birth rates of triplets or morer=0.9218yrs380
Google searches for 'report UFO sighting'r=0.9416yrs380
Physical album shipment volume in the United Statesr=0.9321yrs376
Ticket sales for Arizona Diamondbacks gamesr=0.9122yrs376
Frozen yogurt consumptionr=0.9430yrs374
Google searches for 'learn spanish'r=0.9416yrs374
Google searches for 'black holes'r=0.9416yrs374
Burglaries in District of Columbiar=0.9635yrs372
GMO use in corn grown in Texasr=0.9615yrs371
US Hospital Occupancy Rater=0.9118yrs370
NASA's budget as a percentage of the total US Federal Budgetr=0.8645yrs366
The wind speed in Austinr=0.9132yrs366
The wind speed in San Diegor=0.9132yrs366
Motor vehicle thefts in Pennsylvaniar=0.9635yrs362
Customer satisfaction with Frontier Communicationsr=0.8626yrs362
The number of typists in Iowar=0.9717yrs358
US household spending on beefr=0.9420yrs357
US household spending on porkr=0.9420yrs357
US household spending on processed fruitsr=0.9420yrs357
US household spending on clothing for menr=0.9420yrs357
US household spending on clothingr=0.9320yrs356
US average milk-fat content of frozen dairy productsr=0.9420yrs354
US household spending on meats, poultry, fish, and eggsr=0.9220yrs354
Robberies in Louisianar=0.9635yrs352
Gasoline pumped in Germanyr=0.9129yrs350
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.9120yrs350
The number of data entry keyers in Mississippir=0.9717yrs348
Motor vehicle thefts in Illinoisr=0.9535yrs341
The divorce rate in Tennesseer=0.9521yrs341
Petroluem consumption in Uzbekistanr=0.9128yrs339
The number of CEOs in South Carolinar=0.9617yrs338
Robberies in New Jerseyr=0.9535yrs331
The number of typists in Texasr=0.9717yrs328
The marriage rate in Kentuckyr=0.9421yrs328
Robberies in Californiar=0.9535yrs321
Liquefied petroleum gas used in Greenlandr=0.920yrs320
The number of cooks, short order in West Virginiar=0.9717yrs318
The divorce rate in Alabamar=0.9321yrs318
Portion of all US dairy skim-solids allocated to the production of frozen dairy productsr=0.920yrs318
The number of professional painters in Puerto Ricor=0.9717yrs308
The divorce rate in New Hampshirer=0.9321yrs308
Motor vehicle theftsr=0.9435yrs300
Gasoline pumped in Francer=0.940yrs300
The number of postal service clerks in Virgin Islandsr=0.9716yrs298
The marriage rate in Arizonar=0.9321yrs296
Gasoline pumped in Belgiumr=0.8940yrs288
The number of advertising and promotions managers in Alabamar=0.9617yrs287
Arson in United Statesr=0.9235yrs286
The marriage rate in Virginiar=0.9321yrs286
Kerosene used in North Korear=0.8940yrs278
The number of advertising and promotions managers in District of Columbiar=0.9617yrs277
The divorce rate in Oregonr=0.9221yrs276
Kerosene used in Pakistanr=0.8940yrs268
The number of typists in Floridar=0.9617yrs267
The marriage rate in Arkansasr=0.9221yrs265
Arson in Texasr=0.9535yrs261
The number of typists in Illinoisr=0.9617yrs257
Kerosene used in Argentinar=0.8840yrs256
The divorce rate in North Carolinar=0.9121yrs255
Motor vehicle thefts in New Yorkr=0.9535yrs251
The number of prepress technicians and workers in Illinoisr=0.9617yrs247
Kerosene used in Thailandr=0.8840yrs246
The marriage rate in Idahor=0.9121yrs244
Robberies in Texasr=0.9535yrs241
The number of pipelayers in Indianar=0.9617yrs237
Gasoline pumped in United Kingdomr=0.8840yrs236
The divorce rate in Ohior=0.921yrs234
Arson in North Carolinar=0.9435yrs230
The number of computer programmers in Marylandr=0.9517yrs227
Gasoline pumped in North Korear=0.8740yrs225
The marriage rate in Missourir=0.921yrs222
Arson in Connecticutr=0.9435yrs220
The number of prepress technicians and workers in North Carolinar=0.9617yrs217
Petroluem consumption in Naurur=0.8640yrs214
The marriage rate in South Dakotar=0.921yrs212
Burglaries in Kansasr=0.9435yrs210
The number of switchboard operators in Ohior=0.9617yrs207
Kerosene used in Saint Kitts and Nevisr=0.8540yrs202
Burglaries in South Dakotar=0.9435yrs200
The number of sewing machine operators in Ohior=0.9617yrs197
Motor vehicle thefts in New Jerseyr=0.9435yrs190
Jet fuel used in Ukrainer=0.8928yrs186
Petroluem consumption in Azerbaijanr=0.8828yrs174
Petroluem consumption in Germanyr=0.8729yrs164


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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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