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

VariableCorrelationYearsHas img?
Burglaries in Californiar=0.9938yrsNo
Robberies in Michiganr=0.9838yrsNo
The divorce rate in Washingtonr=0.9623yrsNo
The divorce rate in Mainer=0.9523yrsNo
Frozen yogurt consumptionr=0.9432yrsNo
Milk consumptionr=0.932yrsNo


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

VariableCorrelationYearsSys. Score
Burglary rates in the USr=0.9638yrs436
Arson in United Statesr=0.9538yrs434
Kerosene used in Turkiyer=0.9743yrs433
Remaining Forest Cover in the Brazilian Amazonr=0.9636yrs432
Gasoline pumped in Bulgariar=0.9642yrs430
Kerosene used in Mexicor=0.9640yrs428
The divorce rate in Idahor=0.9523yrs413
Air pollution in Oxnard, Californiar=0.9641yrs394
Burglaries in New Yorkr=0.9838yrs388
The number of executive administrative assistants in Floridar=0.9913yrs388
Average views of Numberphile YouTube videosr=0.9612yrs388
How 'hip and with it' LockPickingLawyer YouTube video titles arer=0.998yrs388
Average number of milk cows in the United Statesr=0.943yrs387
The number of executive administrative assistants in Mississippir=0.9813yrs386
The number of executive administrative assistants in North Carolinar=0.9813yrs386
Woodside Energy Group's stock price (WDS)r=0.914yrs385
The distance between Neptune and Mercuryr=0.9348yrs385
The distance between Neptune and Earthr=0.9248yrs384
The distance between Neptune and the moonr=0.9248yrs384
The wind speed in Austinr=0.9339yrs376
Cigarette Smoking Rate for US adultsr=0.9221yrs375
Google searches for 'Matt Parker'r=0.9316yrs373
The wind speed in San Diegor=0.939yrs372
Viewership count for Days of Our Livesr=0.8847yrs370
Google searches for 'xkcd'r=0.9116yrs370
Patents granted to Toshibar=0.9412yrs369
Kerosene used in Uruguayr=0.9442yrs368
Customer satisfaction with Frontier Communicationsr=0.8828yrs368
Burglaries in Montanar=0.9738yrs367
Air pollution in Los Angelesr=0.9443yrs366
Air pollution in Los Angelesr=0.9443yrs366
Kerosene used in Venezuelar=0.9442yrs358
Burglaries in New Jerseyr=0.9738yrs357
The number of executive administrative assistants in Ohior=0.9813yrs356
The distance between Neptune and the Sunr=0.9148yrs352
The divorce rate in Illinoisr=0.9423yrs352
Burglaries in Oklahomar=0.9738yrs347
Kerosene used in Cubar=0.9342yrs346
The number of executive administrative assistants in Californiar=0.9713yrs344
The divorce rate in Vermontr=0.9423yrs342
Burglaries in Oregonr=0.9738yrs337
Kerosene used in Thailandr=0.9342yrs336
The number of executive administrative assistants in Illinoisr=0.9713yrs334
Air pollution in New York Cityr=0.9343yrs334
The divorce rate in Virginiar=0.9423yrs332
Burglaries in Rhode Islandr=0.9738yrs327
Kerosene used in Argentinar=0.9242yrs324
The number of executive administrative assistants in Indianar=0.9713yrs324
Air pollution in San Diego, Californiar=0.9443yrs323
The divorce rate in Wisconsinr=0.9423yrs322
Burglaries in Colorador=0.9738yrs317
Petroluem consumption in Bulgariar=0.9242yrs314
The number of tax examiners and collectors, and revenue agents in Kentuckyr=0.9713yrs314
The divorce rate in Floridar=0.9323yrs310
Air pollution in New York Cityr=0.943yrs310
Burglaries in Connecticutr=0.9738yrs307
Gasoline pumped in Cubar=0.9242yrs304
The number of executive administrative assistants in Minnesotar=0.9713yrs304
The divorce rate in Michiganr=0.9323yrs300
Air pollution in Oxnard, Californiar=0.9243yrs300
Robberies in Oregonr=0.9738yrs297
Kerosene used in Ecuadorr=0.9242yrs294
The number of childcare workers in New Mexicor=0.9713yrs294
The divorce rate in Nebraskar=0.9323yrs290
Air pollution in San Diego, Californiar=0.9243yrs290
Arson in New Yorkr=0.9638yrs286
Kerosene used in Hong Kongr=0.9242yrs284
The number of executive administrative assistants in Pennsylvaniar=0.9713yrs284
The divorce rate in Wyomingr=0.9323yrs280
Burglaries in Floridar=0.9638yrs276
The number of executive administrative assistants in Virginiar=0.9713yrs274
Gasoline pumped in Somaliar=0.942yrs272
The divorce rate in Arkansasr=0.9223yrs268
Burglaries in Illinoisr=0.9638yrs266
The number of executive administrative assistants in Wisconsinr=0.9713yrs264
The divorce rate in Colorador=0.9223yrs258
Burglaries in Michiganr=0.9638yrs256
The number of secretaries in Wyomingr=0.9613yrs254
The divorce rate in Kentuckyr=0.9223yrs248
Burglaries in Minnesotar=0.9638yrs246
The number of executive administrative assistants in Alaskar=0.9613yrs243
The divorce rate in Missourir=0.9223yrs238
Burglaries in Arizonar=0.9638yrs236
The number of executive administrative assistants in Connecticutr=0.9613yrs233
Gasoline pumped in Francer=0.8943yrs231
The divorce rate in New Hampshirer=0.9223yrs228
Burglaries in New Mexicor=0.9638yrs226
The number of executive administrative assistants in Georgiar=0.9613yrs223
The divorce rate in Ohior=0.9223yrs218
The number of executive administrative assistants in Montanar=0.9613yrs213
The divorce rate in Texasr=0.9223yrs208
The number of executive administrative assistants in Utahr=0.9513yrs202
The divorce rate in Oregonr=0.9123yrs197
The number of executive administrative assistants in Vermontr=0.9513yrs192
The divorce rate in Delawarer=0.923yrs186


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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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