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

VariableCorrelationYearsHas img?
Google searches for 'report UFO sighting'r=0.9519yrsNo


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

VariableCorrelationYearsSys. Score
Kerosene used in Turkiyer=0.9643yrs432
Gasoline pumped in Bulgariar=0.9642yrs430
Kerosene used in Venezuelar=0.9642yrs430
Carjackings in the USr=0.9627yrs424
US birth rates of triplets or morer=0.9620yrs418
Burglaries in New Yorkr=0.9838yrs418
Robberies in Oregonr=0.9838yrs418
Average number of milk cows in the United Statesr=0.943yrs417
Physical album shipment volume in the United Statesr=0.9724yrs416
The marriage rate in Nevadar=0.9723yrs414
The divorce rate in Tennesseer=0.9623yrs414
The marriage rate in Arkansasr=0.9623yrs413
Google searches for 'learn spanish'r=0.9719yrs412
Google searches for 'black holes'r=0.9519yrs409
Google searches for 'desktop background'r=0.9616yrs408
Remaining Forest Cover in the Brazilian Amazonr=0.9536yrs400
Air pollution in Los Angelesr=0.9643yrs399
Air pollution in Los Angelesr=0.9543yrs398
Air pollution in San Diego, Californiar=0.9743yrs398
The number of bill collectors in Colorador=0.9720yrs393
The number of CEOs in Kentuckyr=0.9720yrs393
The number of data entry keyers in Alabamar=0.9720yrs392
US household spending on clothingr=0.9523yrs392
US household spending on booksr=0.9523yrs392
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.9522yrs388
Arson in New Yorkr=0.9738yrs387
The marriage rate in Tennesseer=0.9623yrs383
The distance between Neptune and Earthr=0.9148yrs382
The distance between Neptune and the moonr=0.9148yrs382
The distance between Neptune and the Sunr=0.948yrs380
The wind speed in Austinr=0.9538yrs378
Burglaries in Californiar=0.9738yrs377
Pirate attacks globallyr=0.9414yrs376
Frozen yogurt consumptionr=0.9432yrs376
GMO use in corn grown in Texasr=0.9718yrs376
The divorce rate in Alabamar=0.9523yrs373
Kerosene used in Argentinar=0.9542yrs369
Burglaries in Connecticutr=0.9738yrs367
Air pollution in Oxnard, Californiar=0.9841yrs367
The number of tool and die makers in Arkansasr=0.9720yrs362
Kerosene used in Cubar=0.9542yrs359
Burglaries in Oregonr=0.9638yrs356
Air pollution in San Diego, Californiar=0.9643yrs356
The number of telemarketers in Californiar=0.9620yrs352
Gasoline pumped in Cubar=0.9442yrs348
Google searches for 'oprah winfrey'r=0.9419yrs348
Burglaries in Colorador=0.9638yrs346
The number of office clerks in Delawarer=0.9720yrs342
Kerosene used in Thailandr=0.9442yrs338
Motor vehicle thefts in Massachusettsr=0.9638yrs336
Google searches for 'snoop dog'r=0.9319yrs336
The number of bill collectors in Marylandr=0.9620yrs332
The divorce rate in North Carolinar=0.9423yrs332
Kerosene used in Uruguayr=0.9442yrs328
The number of switchboard operators in New Jerseyr=0.9720yrs322
The marriage rate in Idahor=0.9423yrs320
Kerosene used in Mexicor=0.9540yrs317
The number of legislators in Pennsylvaniar=0.9620yrs312
Arson in United Statesr=0.9338yrs311
The marriage rate in Ohior=0.9423yrs310
Petroluem consumption in Bulgariar=0.9342yrs306
The number of prepress technicians and workers in Pennsylvaniar=0.9720yrs302
Burglary rates in the USr=0.9338yrs301
The marriage rate in South Dakotar=0.9423yrs300
Kerosene used in Ecuadorr=0.9342yrs296
The number of compensation and benefits managers in Kentuckyr=0.9819yrs292
The marriage rate in Wyomingr=0.9423yrs290
Gasoline pumped in Francer=0.9243yrs286
The number of compensation and benefits managers in Mainer=0.9819yrs282
The marriage rate in Alabamar=0.9323yrs278
Petroluem consumption in Romaniar=0.9342yrs276
Burglaries in Floridar=0.9538yrs274
The number of compensation and benefits managers in South Carolinar=0.9819yrs272
The marriage rate in South Carolinar=0.9323yrs268
Gasoline pumped in Somaliar=0.9342yrs266
Burglaries in Rhode Islandr=0.9538yrs264
The number of floral designers in Alabamar=0.9620yrs260
The divorce rate in Wyomingr=0.9223yrs258
Robberies in New Yorkr=0.9538yrs254
Kerosene used in Brazilr=0.9142yrs253
The number of file clerks in Alabamar=0.9719yrs250
The marriage rate in Arizonar=0.9223yrs247
Kerosene used in Egyptr=0.9142yrs243
Arson in Californiar=0.9438yrs242
The number of sewing machine operators in Alabamar=0.9620yrs240
The marriage rate in Virginiar=0.9223yrs237
Arson in Colorador=0.9438yrs232
The number of data entry keyers in Georgiar=0.9620yrs230
The divorce rate in Ohior=0.9123yrs227
Burglaries in Minnesotar=0.9438yrs222
Jet fuel used in Ukrainer=0.9230yrs222
The number of floral designers in Kentuckyr=0.9620yrs220
The divorce rate in Oregonr=0.9123yrs217
Burglaries in Montanar=0.9438yrs212
Petroluem consumption in Azerbaijanr=0.9130yrs211
The number of postal service machine operators in Minnesotar=0.9620yrs210
Burglaries in New Jerseyr=0.9438yrs202
The number of pipelayers in Mississippir=0.9620yrs200
Liquefied petroleum gas used in Greenlandr=0.9422yrs198
Burglaries in New Mexicor=0.9438yrs192


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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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