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

VariableCorrelationYearsHas img?
Air quality in Clinton, Iowar=0.9133yrsYes!
How provocative Numberphile YouTube video titles arer=-0.38yrsYes!


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

VariableCorrelationYearsSys. Score
Violent crime ratesr=0.9634yrs452
Carjackings in the USr=0.9724yrs423
Robberies in Louisianar=0.9734yrs413
The marriage rate in Tennesseer=0.9720yrs412
The marriage rate in Nevadar=0.9620yrs410
The marriage rate in Ohior=0.9620yrs410
Customer satisfaction with Verizonr=0.9125yrs399
Remaining Forest Cover in the Brazilian Amazonr=0.9132yrs390
US household spending on clothingr=0.9619yrs389
US household spending on booksr=0.9619yrs389
The number of typists in Iowar=0.9716yrs388
The number of fast food cooks in Michiganr=0.9616yrs386
The number of brickmasons in Mississippir=0.9616yrs386
Robberies in Marylandr=0.9734yrs383
The divorce rate in Tennesseer=0.9520yrs380
Gasoline pumped in Germanyr=0.9228yrs380
Petroluem consumption in Germanyr=0.9128yrs379
US birth rates of triplets or morer=0.9217yrs378
Petroluem consumption in Uzbekistanr=0.9127yrs378
Physical album shipment volume in the United Statesr=0.9420yrs377
Google searches for 'report UFO sighting'r=0.9115yrs375
Frozen yogurt consumptionr=0.9429yrs374
US milk fat used to produce fluid beverage milkr=0.9119yrs372
Google searches for 'black holes'r=0.9315yrs372
Motor vehicle thefts in Floridar=0.9534yrs370
Google searches for 'learn spanish'r=0.9215yrs370
The marriage rate in South Carolinar=0.9520yrs368
NASA's budget as a percentage of the total US Federal Budgetr=0.8644yrs365
Customer satisfaction with Frontier Communicationsr=0.8525yrs360
The number of social and community service managers in New Mexicor=0.9616yrs356
US household spending on clothing for menr=0.9419yrs356
US household spending on beefr=0.9319yrs354
US average milk-fat content of frozen dairy productsr=0.9419yrs353
US household spending on clothin for womenr=0.9219yrs353
US household spending on processed fruitsr=0.9119yrs352
Motor vehicle theftsr=0.9234yrs346
The number of boiler operators in North Carolinar=0.9616yrs346
Ticket sales for Arizona Diamondbacks gamesr=0.921yrs344
Disney movies releasedr=0.8719yrs343
Geothermal power generated in Austriar=0.917yrs340
Robberies in the USr=0.9234yrs336
The number of sewing machine operators in Pennsylvaniar=0.9616yrs336
GMO use in corn grown in South Dakotar=0.919yrs336
GMO use in cotton in North Carolinar=0.9219yrs336
Liquefied petroleum gas used in Greenlandr=0.9119yrs330
The marriage rate in Arkansasr=0.9520yrs328
The number of advertising and promotions managers in South Carolinar=0.9616yrs326
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.9219yrs320
The marriage rate in Kentuckyr=0.9520yrs318
The number of fast food cooks in Utahr=0.9616yrs316
Motor vehicle thefts in Pennsylvaniar=0.9534yrs310
Portion of all US dairy skim-solids allocated to the production of frozen dairy productsr=0.9219yrs310
The marriage rate in South Dakotar=0.9520yrs308
Gasoline pumped in Belgiumr=0.8939yrs307
The number of furniture finishers in Virginiar=0.9616yrs306
The divorce rate in Alabamar=0.9420yrs298
Arson in North Carolinar=0.9434yrs298
Kerosene used in Saint Kitts and Nevisr=0.8939yrs297
The number of proofreaders in Arkansasr=0.9615yrs295
The divorce rate in Oregonr=0.9420yrs288
Arson in Texasr=0.9434yrs288
Milk consumptionr=0.8929yrs288
Gasoline pumped in United Kingdomr=0.8939yrs287
The number of crane operators in Ohior=0.9516yrs284
The marriage rate in Texasr=0.9420yrs277
Arson in Connecticutr=0.9334yrs277
Gasoline pumped in Guinea-Bissaur=0.8739yrs274
The marriage rate in Virginiar=0.9420yrs267
Burglaries in District of Columbiar=0.9334yrs267
Petroluem consumption in Naurur=0.8639yrs262
The divorce rate in New Hampshirer=0.9320yrs257
Motor vehicle thefts in Tennesseer=0.9334yrs257
Gasoline pumped in Austriar=0.8539yrs251
Motor vehicle thefts in Indianar=0.9334yrs247
The divorce rate in Ohior=0.9220yrs246
The number of city bus drivers in Connecticutr=0.9416yrs244
Motor vehicle thefts in Louisianar=0.9334yrs237
Gasoline pumped in North Macedoniar=0.8927yrs235
The marriage rate in Idahor=0.9220yrs234
The number of typists in Floridar=0.9516yrs234
Burglaries in South Dakotar=0.9234yrs226
The marriage rate in Louisianar=0.9220yrs224
The number of cashiers in Michiganr=0.9516yrs224
Gasoline pumped in Lithuaniar=0.8727yrs222
Robberies in Illinoisr=0.9234yrs216
The marriage rate in Missourir=0.9220yrs214
The number of file clerks in Michiganr=0.9516yrs214
Petroluem consumption in Azerbaijanr=0.8627yrs210
Robberies in Kansasr=0.9234yrs206
The number of data entry keyers in Mississippir=0.9516yrs204
The marriage rate in Alabamar=0.9120yrs202
Gasoline pumped in Eritrear=0.8525yrs197
Robberies in New Jerseyr=0.9234yrs196
The number of data entry keyers in Washingtonr=0.9516yrs194
The marriage rate in Arizonar=0.9120yrs192
Arson in Wisconsinr=0.9134yrs184
The number of tool and die makers in Connecticutr=0.9416yrs183
The marriage rate in Nebraskar=0.9120yrs182
The number of budget analysts in Idahor=0.9416yrs173
The number of surgens in Indianar=0.9416yrs163


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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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