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

VariableCorrelationYearsSys. Score
Remaining Forest Cover in the Brazilian Amazonr=0.9736yrs434
Kerosene used in Turkiyer=0.9743yrs433
Kerosene used in Mexicor=0.9640yrs428
Average number of milk cows in the United Statesr=0.9143yrs418
Burglaries in New Yorkr=0.9838yrs418
Burglaries in Californiar=0.9738yrs417
Burglaries in Colorador=0.9738yrs417
Physical album shipment volume in the United Statesr=0.9624yrs414
The marriage rate in Arkansasr=0.9623yrs413
The marriage rate in Nevadar=0.9623yrs413
The marriage rate in Tennesseer=0.9623yrs413
Google searches for 'panama canal'r=0.9619yrs410
Google searches for 'Panama Canal'r=0.9519yrs409
Gasoline pumped in Bulgariar=0.9542yrs399
Air pollution in Oxnard, Californiar=0.9641yrs394
Air pollution in San Diego, Californiar=0.9543yrs394
The number of brickmasons in Alabamar=0.9620yrs390
The number of data entry keyers in Californiar=0.9620yrs390
The number of professional painters in Indianar=0.9520yrs388
Burglaries in Connecticutr=0.9738yrs387
The marriage rate in Ohior=0.9523yrs382
The distance between Neptune and Mercuryr=0.948yrs380
US birth rates of triplets or morer=0.920yrs378
The wind speed in Austinr=0.9439yrs378
Motor vehicle thefts in Massachusettsr=0.9738yrs377
Google searches for 'black holes'r=0.9319yrs376
Cottage cheese consumptionr=0.9232yrs374
Frozen yogurt consumptionr=0.9232yrs374
The wind speed in Nashviller=0.9239yrs374
The wind speed in San Diegor=0.9239yrs374
The marriage rate in Virginiar=0.9523yrs372
Kerosene used in Uruguayr=0.9542yrs369
Robberies in Oregonr=0.9738yrs367
Viewership count for Days of Our Livesr=0.8647yrs366
Air pollution in Los Angelesr=0.9443yrs366
US household spending on clothingr=0.9523yrs362
US household spending on clothing for menr=0.9423yrs360
AIG's stock price (AIG)r=0.8821yrs359
The number of advertising and promotions managers in Louisianar=0.9520yrs358
US household spending on booksr=0.9323yrs358
Arson in New Yorkr=0.9638yrs356
Petroluem consumption in Bulgariar=0.9342yrs356
The number of file clerks in Marylandr=0.9520yrs348
Burglaries in Oregonr=0.9638yrs346
Kerosene used in Portugalr=0.9243yrs346
Carjackings in the USr=0.9527yrs343
Google searches for 'learn spanish'r=0.9119yrs343
Petroluem consumption in Romaniar=0.9342yrs336
Air pollution in Los Angelesr=0.9343yrs334
The divorce rate in Tennesseer=0.9423yrs332
Kerosene used in Venezuelar=0.9342yrs326
Arson in United Statesr=0.9538yrs324
Air pollution in New York Cityr=0.9243yrs323
The marriage rate in Idahor=0.9423yrs320
Gasoline pumped in Cubar=0.9142yrs313
Burglary rates in the USr=0.9438yrs312
Air pollution in San Diego, Californiar=0.9343yrs312
The marriage rate in South Carolinar=0.9423yrs310
The number of typists in Iowar=0.9520yrs308
Kerosene used in Cubar=0.9142yrs303
The marriage rate in Wisconsinr=0.9423yrs300
Air pollution in New York Cityr=0.943yrs300
The number of food service managers in Marylandr=0.9520yrs298
Kerosene used in Ecuadorr=0.9142yrs293
The marriage rate in Wyomingr=0.9423yrs290
The number of sewing machine operators in Massachusettsr=0.9520yrs288
Air pollution in Oxnard, Californiar=0.9143yrs288
Gasoline pumped in Somaliar=0.9142yrs283
The marriage rate in Arizonar=0.9323yrs278
The number of typists in Michiganr=0.9520yrs278
Air pollution in Spokane, Washingtonr=0.9143yrs278
Arson in Californiar=0.9538yrs274
Kerosene used in Thailandr=0.9142yrs273
The marriage rate in South Dakotar=0.9323yrs268
The number of advertising and promotions managers in Tennesseer=0.9520yrs268
Burglaries in Floridar=0.9538yrs264
Kerosene used in Argentinar=0.942yrs262
The divorce rate in Alabamar=0.9223yrs258
The number of floral designers in Virginiar=0.9520yrs258
Burglaries in Minnesotar=0.9538yrs254
Kerosene used in Boliviar=0.942yrs252
The number of meter readers, utilities in Wisconsinr=0.9520yrs248
The marriage rate in Kentuckyr=0.9223yrs247
Burglaries in New Mexicor=0.9538yrs244
Kerosene used in United Statesr=0.943yrs242
The divorce rate in North Carolinar=0.9123yrs237
The number of telemarketers in Californiar=0.9320yrs237
Burglaries in Rhode Islandr=0.9538yrs234
The number of sewing machine operators in Californiar=0.9420yrs227
The marriage rate in Missourir=0.9123yrs226
Robberies in Michiganr=0.9538yrs224
Gasoline pumped in Germanyr=0.9232yrs224
The number of photographers in Connecticutr=0.9420yrs217
The marriage rate in North Carolinar=0.9123yrs216
Petroluem consumption in Uzbekistanr=0.9330yrs214
Arson in Colorador=0.9438yrs212
The marriage rate in Kansasr=0.923yrs204
Burglaries in Alaskar=0.9438yrs202
Burglaries in Montanar=0.9438yrs192
Petroluem consumption in Former Czechoslovakiar=0.9313yrs187
Kerosene used in Brazilr=0.942yrs172


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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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