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

VariableCorrelationYearsHas img?
GMO use in cotton in Missourir=0.8918yrsYes!


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

VariableCorrelationYearsSys. Score
Arson in United Statesr=0.9538yrs434
The distance between Neptune and the Sunr=0.9748yrs421
The distance between Neptune and Earthr=0.9748yrs421
The distance between Neptune and the moonr=0.9748yrs421
Arson in New Jerseyr=0.9638yrs416
Burglaries in Marylandr=0.9638yrs416
Viewership count for Days of Our Livesr=0.9347yrs407
Remaining Forest Cover in the Brazilian Amazonr=0.9236yrs396
Kerosene used globallyr=0.9242yrs394
Gasoline pumped in Austriar=0.9143yrs394
Gasoline pumped in Francer=0.9143yrs394
The number of recreational therapists in Connecticutr=0.9720yrs392
The number of human resources assistants in District of Columbiar=0.9620yrs390
The number of bill collectors in Illinoisr=0.9520yrs390
The distance between Neptune and Mercuryr=0.9548yrs388
Burglaries in Utahr=0.9638yrs386
US birth rates of triplets or morer=0.9420yrs384
The divorce rate in North Carolinar=0.9423yrs382
Associates degrees awarded in Accountingr=0.9511yrs381
Associates degrees awarded in Business operationsr=0.9511yrs381
The divorce rate in Kentuckyr=0.9323yrs380
The divorce rate in Washingtonr=0.9323yrs380
Milk consumptionr=0.9432yrs378
Cigarette Smoking Rate for US adultsr=0.9321yrs376
Physical album shipment volume in the United Statesr=0.9124yrs376
U.S. intercountry adoptionsr=0.9123yrs376
Burglaries in Wyomingr=0.9638yrs376
United States music album salesr=0.9516yrs374
NASA's budget as a percentage of the total US Federal Budgetr=0.8948yrs374
Google searches for 'desktop background'r=0.9216yrs372
GMO use in cottonr=0.9523yrs364
Arson in Marylandr=0.9538yrs364
Kerosene used in Thailandr=0.9242yrs364
Air pollution in Oxnard, Californiar=0.9443yrs363
The number of postmasters in Oregonr=0.9620yrs360
US household spending on fresh milk and creamr=0.9323yrs358
US household spending on postage and stationeryr=0.9223yrs357
US household spending on prescription drugsr=0.9223yrs357
Air pollution in Baltimore, Marylandr=0.943yrs357
Air pollution in Philadelphia, Pennsylvaniar=0.943yrs357
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milkr=0.9422yrs356
Cenovus Energy's stock price (CVE)r=0.9113yrs356
US household spending on clothin for womenr=0.9123yrs356
Arson in Connecticutr=0.9538yrs354
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.9222yrs353
The marriage rate in Idahor=0.9323yrs348
The number of payroll and timekeeping clerks in North Carolinar=0.9520yrs348
Petroluem consumption in Germanyr=0.9232yrs344
The divorce rate in Floridar=0.9223yrs338
The number of career/technical education teachers, secondary school in Kansasr=0.9613yrs333
Gasoline pumped in Lithuaniar=0.931yrs330
Burglary rates in the USr=0.9238yrs330
The divorce rate in Virginiar=0.9223yrs328
The number of tax examiners and collectors, and revenue agents in Virginiar=0.9613yrs323
Robberies in the USr=0.9138yrs318
The marriage rate in Nebraskar=0.9223yrs317
The number of labor relations specialists in Pennsylvaniar=0.9611yrs311
The marriage rate in South Dakotar=0.9223yrs307
Kerosene used in Argentinar=0.8842yrs298
The divorce rate in Arkansasr=0.9123yrs297
Arson in Indianar=0.9538yrs294
Kerosene used in Cubar=0.8842yrs288
The divorce rate in Colorador=0.9123yrs287
Arson in Texasr=0.9538yrs284
The number of data entry keyers in Floridar=0.9520yrs278
Kerosene used in Egyptr=0.8842yrs278
The divorce rate in Mississippir=0.9123yrs277
Burglaries in Idahor=0.9538yrs274
The number of switchboard operators in Illinoisr=0.9520yrs268
Kerosene used in Uruguayr=0.8842yrs268
The divorce rate in Oregonr=0.9123yrs267
Burglaries in Illinoisr=0.9538yrs264
The number of floral designers in Indianar=0.9520yrs258
The divorce rate in Wisconsinr=0.9123yrs257
Kerosene used in Perur=0.8742yrs257
Violent crime ratesr=0.8838yrs254
Carjackings in the USr=0.8927yrs254
The number of CEOs in Massachusettsr=0.9419yrs248
The marriage rate in Alabamar=0.9123yrs246
Gasoline pumped in Cubar=0.8642yrs246
Burglaries in Hawaiir=0.9438yrs242
The number of CEOs in Michiganr=0.9420yrs238
The marriage rate in Arkansasr=0.9123yrs236
Petroluem consumption in Denmarkr=0.8643yrs236
Burglaries in Kansasr=0.9438yrs232
The number of computer programmers in Michiganr=0.9420yrs228
The marriage rate in Wyomingr=0.9123yrs226
Burglaries in Minnesotar=0.9438yrs222
The number of postal service machine operators in Nebraskar=0.9520yrs218
The divorce rate in Illinoisr=0.923yrs216
Burglaries in Arizonar=0.9438yrs212
The number of recreational therapists in New Yorkr=0.9520yrs208
The divorce rate in Mainer=0.923yrs206
Burglaries in New Jerseyr=0.9438yrs202
The number of telemarketers in New Yorkr=0.9420yrs198
The divorce rate in Michiganr=0.923yrs196
Burglaries in Virginiar=0.9438yrs192
The number of postmasters in North Carolinar=0.9520yrs188
The marriage rate in Nevadar=0.923yrs184
The number of counter and rental clerks in Pennsylvaniar=0.9520yrs178
The number of bill collectors in Washingtonr=0.9420yrs168


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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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