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

VariableCorrelationYearsHas img?
Burglaries in Colorador=0.9838yrsNo
Carjackings in the USr=0.9727yrsNo
Arson in New Yorkr=0.9738yrsNo
US average milk-fat content of frozen dairy productsr=0.9622yrsNo
Burglaries in New Yorkr=0.9638yrsNo
Average number of milk cows in the United Statesr=0.9343yrsNo


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

VariableCorrelationYearsSys. Score
Kerosene used in Turkiyer=0.9843yrs434
Kerosene used in Mexicor=0.9840yrs432
The marriage rate in Tennesseer=0.9823yrs416
Physical album shipment volume in the United Statesr=0.9624yrs414
The marriage rate in Nevadar=0.9723yrs414
The marriage rate in South Carolinar=0.9723yrs414
Petroluem consumption in Bulgariar=0.9442yrs398
Remaining Forest Cover in the Brazilian Amazonr=0.9136yrs394
US household spending on booksr=0.9623yrs393
The number of prepress technicians and workers in Floridar=0.9720yrs392
The number of prepress technicians and workers in Michiganr=0.9720yrs392
The number of maintenance workers, machinery in New Jerseyr=0.9720yrs392
Robberies in Oregonr=0.9738yrs387
The divorce rate in Tennesseer=0.9623yrs384
US birth rates of triplets or morer=0.9220yrs382
Ticket sales for Arizona Diamondbacks gamesr=0.9122yrs376
Google searches for 'panama canal'r=0.9219yrs374
Google searches for 'Panama Canal'r=0.9219yrs374
The marriage rate in Arkansasr=0.9623yrs373
United States music album salesr=0.9216yrs370
Frozen yogurt consumptionr=0.932yrs370
Kerosene used in Portugalr=0.9443yrs368
Burglaries in Oregonr=0.9638yrs366
Customer satisfaction with Verizonr=0.8728yrs366
Customer satisfaction with Frontier Communicationsr=0.8628yrs364
The marriage rate in Ohior=0.9623yrs363
The number of CEOs in Ohior=0.9620yrs362
US household spending on clothing for menr=0.9423yrs360
Air pollution in Los Angelesr=0.943yrs360
Air pollution in San Diego, Californiar=0.9243yrs360
Air pollution in Norwich, Connecticutr=0.9342yrs360
AIG's stock price (AIG)r=0.8821yrs359
US household spending on clothingr=0.9323yrs358
US household spending on processed fruitsr=0.9223yrs357
Burglaries in Californiar=0.9638yrs356
Gasoline pumped in Bulgariar=0.9342yrs356
The marriage rate in Virginiar=0.9523yrs352
The number of sewing machine operators in Californiar=0.9620yrs350
Kerosene used in Boliviar=0.9242yrs344
The number of file clerks in Colorador=0.9620yrs340
Kerosene used in Norwayr=0.9143yrs334
The number of file clerks in Marylandr=0.9620yrs330
Air pollution in Manchester, New Hampshirer=0.943yrs327
Burglary rates in the USr=0.938yrs326
Kerosene used in Uruguayr=0.9242yrs324
The number of switchboard operators in Massachusettsr=0.9620yrs320
Kerosene used in Ecuadorr=0.9142yrs313
The marriage rate in Idahor=0.9523yrs312
The number of data entry keyers in New Yorkr=0.9620yrs310
Kerosene used in Romaniar=0.9142yrs303
The marriage rate in South Dakotar=0.9523yrs302
Burglaries in Washingtonr=0.9438yrs302
The number of tool and die makers in New Yorkr=0.9620yrs300
Burglaries in Oklahomar=0.9338yrs291
The number of file clerks in North Carolinar=0.9620yrs290
The marriage rate in Arizonar=0.9423yrs290
Jet fuel used in Ukrainer=0.9330yrs284
Burglaries in Rhode Islandr=0.9338yrs281
The number of data entry keyers in Pennsylvaniar=0.9620yrs280
The marriage rate in Wyomingr=0.9423yrs280
Petroluem consumption in Ukrainer=0.9230yrs272
Burglaries in Texasr=0.9338yrs271
The number of meter readers, utilities in Wisconsinr=0.9620yrs270
The divorce rate in Alabamar=0.9323yrs270
Burglaries in Connecticutr=0.9338yrs261
The divorce rate in North Carolinar=0.9323yrs260
The number of data entry keyers in Californiar=0.9520yrs258
Liquefied petroleum gas used in Greenlandr=0.9122yrs253
Motor vehicle thefts in Massachusettsr=0.9338yrs251
The number of upholsterers in Californiar=0.9520yrs248
The marriage rate in Kentuckyr=0.9323yrs248
Arson in Colorador=0.9238yrs240
The number of typists in Floridar=0.9520yrs238
The divorce rate in Ohior=0.9223yrs238
Burglaries in Michiganr=0.9238yrs230
Kerosene used in Canadar=0.8843yrs230
The number of human resources assistants in Illinoisr=0.9520yrs228
The marriage rate in Alabamar=0.9223yrs227
Burglaries in Montanar=0.9238yrs220
Kerosene used in Hong Kongr=0.8942yrs220
The number of cooks, short order in Indianar=0.9520yrs218
The marriage rate in Missourir=0.9223yrs217
Motor vehicle thefts in Oklahomar=0.9238yrs210
Kerosene used in U.S. Pacific Islandsr=0.8942yrs210
The number of typists in Iowar=0.9520yrs208
The marriage rate in Texasr=0.9223yrs207
Robberies in Michiganr=0.9238yrs200
The number of postal service machine operators in Marylandr=0.9520yrs198
Kerosene used in Italyr=0.8743yrs198
The marriage rate in Wisconsinr=0.9223yrs197
Burglaries in Floridar=0.9138yrs188
Petroluem consumption in Romaniar=0.8842yrs188
The divorce rate in New Hampshirer=0.9123yrs187
Kerosene used in United Statesr=0.8743yrs178
Kerosene used in Venezuelar=0.8842yrs168


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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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