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

VariableCorrelationYearsHas img?
Kerosene used in Egyptr=0.9742yrsNo


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

VariableCorrelationYearsSys. Score
Violent crime ratesr=0.9538yrs454
Arson in United Statesr=0.9638yrs436
Robberies in the USr=0.9638yrs436
Remaining Forest Cover in the Brazilian Amazonr=0.9736yrs434
Gasoline pumped in Francer=0.9643yrs432
Kerosene used in Argentinar=0.9642yrs430
Carjackings in the USr=0.9627yrs424
Physical album shipment volume in the United Statesr=0.9624yrs414
The marriage rate in Nevadar=0.9623yrs413
The marriage rate in Idahor=0.9523yrs412
The wind speed in Austinr=0.9739yrs412
The wind speed in San Diegor=0.9539yrs409
Kerosene used in Pakistanr=0.9642yrs400
The number of telemarketers in Californiar=0.9620yrs392
The number of bill collectors in Marylandr=0.9620yrs392
The number of cooks, short order in North Carolinar=0.9720yrs392
Kerosene used in Thailandr=0.9642yrs390
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.9522yrs388
US birth rates of triplets or morer=0.9320yrs383
The marriage rate in Arkansasr=0.9523yrs382
Motor vehicle thefts in New Jerseyr=0.9938yrs380
Frozen yogurt consumptionr=0.9432yrs376
US milk fat used to produce fluid beverage milkr=0.9222yrs376
xkcd comics published about romancer=0.9216yrs376
Google searches for 'learn spanish'r=0.9219yrs374
Google searches for 'desktop background'r=0.9216yrs372
Average length of LockPickingLawyer YouTube videosr=0.958yrs372
Burglaries in Connecticutr=0.9838yrs368
NASA's budget as a percentage of the total US Federal Budgetr=0.8548yrs368
United States music album salesr=0.916yrs367
Median Weekly Earnings of Self-Employed Workers in the UKr=0.9511yrs366
Customer satisfaction with Verizonr=0.8628yrs364
Air pollution in Oxnard, Californiar=0.9443yrs363
Air pollution in Santa Maria, Californiar=0.9443yrs363
The number of postal service machine operators in Oregonr=0.9720yrs362
Lloyds Banking Group's stock price (LYG)r=0.921yrs362
US household spending on clothingr=0.9523yrs362
Air pollution in Los Angelesr=0.9143yrs362
AIG's stock price (AIG)r=0.8921yrs360
US household spending on clothing for menr=0.9423yrs360
US household spending on clothin for womenr=0.9423yrs360
US household spending on booksr=0.9423yrs360
Burglaries in District of Columbiar=0.9838yrs358
The marriage rate in Tennesseer=0.9523yrs352
Gasoline pumped in Austriar=0.9543yrs350
The number of proofreaders in Connecticutr=0.9620yrs350
Motor vehicle thefts in Massachusettsr=0.9838yrs348
The marriage rate in Wyomingr=0.9523yrs342
The number of data entry keyers in District of Columbiar=0.9620yrs340
Motor vehicle thefts in New Yorkr=0.9838yrs338
Kerosene used in Cubar=0.9342yrs336
The divorce rate in Alabamar=0.9423yrs332
Air pollution in Riverside, Californiar=0.9343yrs332
The number of file clerks in Massachusettsr=0.9620yrs330
Robberies in New Yorkr=0.9838yrs328
Kerosene used in North Korear=0.9342yrs326
The divorce rate in North Carolinar=0.9423yrs322
Air pollution in San Diego, Californiar=0.9343yrs322
The number of telemarketers in New Jerseyr=0.9520yrs320
Burglaries in New Yorkr=0.9738yrs317
Gasoline pumped in Cubar=0.9142yrs313
The number of brickmasons in New Jerseyr=0.9620yrs310
The marriage rate in South Dakotar=0.9423yrs310
Motor vehicle thefts in Illinoisr=0.9738yrs307
Petroluem consumption in North Korear=0.9142yrs303
The number of data entry keyers in Ohior=0.9620yrs300
The divorce rate in Tennesseer=0.9323yrs300
Robberies in Washingtonr=0.9738yrs297
The number of postal service machine operators in Oklahomar=0.9620yrs290
The marriage rate in Arizonar=0.9323yrs288
Burglaries in Floridar=0.9638yrs286
Petroluem consumption in Uzbekistanr=0.9130yrs281
The number of file clerks in Pennsylvaniar=0.9620yrs280
The marriage rate in Ohior=0.9323yrs278
Burglaries in New Jerseyr=0.9638yrs276
The number of prepress technicians and workers in Virginiar=0.9620yrs270
The marriage rate in Virginiar=0.9323yrs268
Motor vehicle thefts in Texasr=0.9638yrs266
Liquefied petroleum gas used in Greenlandr=0.9322yrs266
The number of postal service machine operators in District of Columbiar=0.9719yrs260
The divorce rate in Oregonr=0.9223yrs258
Motor vehicle thefts in Texasr=0.9638yrs256
The number of compensation and benefits managers in Idahor=0.9719yrs250
The marriage rate in Alabamar=0.9223yrs247
Motor vehicle thefts in Texasr=0.9638yrs246
Gasoline pumped in Kosovor=0.9114yrs245
The number of compensation and benefits managers in New Yorkr=0.9619yrs239
The marriage rate in Kansasr=0.9223yrs237
Robberies in Illinoisr=0.9638yrs236
Fossil fuel use in Sierra Leoner=0.942yrs234
The number of social and human service assistants in Arkansasr=0.9520yrs228
The marriage rate in South Carolinar=0.9223yrs227
Robberies in Californiar=0.9638yrs226
Gasoline pumped in Belgiumr=0.8943yrs221
The number of prepress technicians and workers in Arkansasr=0.9520yrs218
The divorce rate in Kentuckyr=0.9123yrs217
The number of postal service machine operators in Colorador=0.9520yrs208
The divorce rate in Wyomingr=0.9123yrs207
The number of data entry keyers in Connecticutr=0.9520yrs198
The marriage rate in Kentuckyr=0.9123yrs196


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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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