about · email me · subscribe
← Discover a correlation

Small Image
Data source: US Social Security Administration
Report an error



Popularity of the first name Shauna correlates with...

VariableCorrelationYearsHas img?
Kerosene used in Turkiyer=0.9743yrsNo



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

VariableCorrelationYearsSys. Score
Remaining Forest Cover in the Brazilian Amazonr=0.9536yrs430
Gasoline pumped in Bulgariar=0.9642yrs430
Number of edits to the Wikipedia article for Thanksgivingr=0.9616yrs430
Kerosene used in Mexicor=0.9640yrs428
Carjackings in the USr=0.9627yrs424
Average number of milk cows in the United Statesr=0.9243yrs420
The marriage rate in Nevadar=0.9923yrs418
Physical album shipment volume in the United Statesr=0.9824yrs417
Burglaries in New Yorkr=0.9738yrs417
Burglaries in Californiar=0.9738yrs417
The divorce rate in Alabamar=0.9723yrs416
Google searches for 'learn spanish'r=0.9819yrs414
The marriage rate in Idahor=0.9723yrs414
US milk fat used to produce fluid beverage milkr=0.9522yrs410
Google searches for 'black holes'r=0.9619yrs410
US household spending on booksr=0.9723yrs394
Air pollution in Oxnard, Californiar=0.9641yrs394
Air pollution in San Diego, Californiar=0.9543yrs394
The number of brickmasons in Alabamar=0.9820yrs393
The number of prepress technicians and workers in Illinoisr=0.9820yrs393
The number of prepress technicians and workers in North Carolinar=0.9820yrs393
US average milk-fat content of frozen dairy productsr=0.9722yrs390
Burglaries in Colorador=0.9738yrs387
The marriage rate in Tennesseer=0.9723yrs384
The distance between Neptune and Mercuryr=0.9248yrs384
US birth rates of triplets or morer=0.9220yrs382
GMO use in corn grown in South Dakotar=0.9723yrs380
The distance between Neptune and Earthr=0.948yrs380
The distance between Neptune and the moonr=0.948yrs380
Google searches for 'report UFO sighting'r=0.9119yrs379
Robberies in Oregonr=0.9738yrs377
Popularity of the 'all your base' memer=0.9117yrs377
GMO use in cotton in North Carolinar=0.9623yrs376
Google searches for 'panama canal'r=0.9219yrs374
The wind speed in Nashviller=0.9239yrs374
The marriage rate in Arkansasr=0.9623yrs373
The wind speed in Austinr=0.9139yrs373
Gasoline pumped in Kosovor=0.9614yrs372
Arson in New Yorkr=0.9638yrs366
The marriage rate in Wyomingr=0.9623yrs363
The number of CEOs in Ohior=0.9720yrs363
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.9622yrs359
Petroluem consumption in Bulgariar=0.9442yrs358
Burglaries in Connecticutr=0.9638yrs356
The number of prepress technicians and workers in Wisconsinr=0.9820yrs353
Kerosene used in Uruguayr=0.9442yrs348
Motor vehicle thefts in Massachusettsr=0.9638yrs346
Google searches for 'Panama Canal'r=0.9219yrs344
The number of postal service machine operators in Connecticutr=0.9720yrs342
Kerosene used in Venezuelar=0.9442yrs338
Burglaries in Oregonr=0.9538yrs334
Google searches for 'snoop dog'r=0.9219yrs334
The number of typists in Floridar=0.9720yrs332
Cottage cheese consumptionr=0.9132yrs332
Kerosene used in Ecuadorr=0.9342yrs326
The divorce rate in Tennesseer=0.9523yrs323
The number of postal service machine operators in Illinoisr=0.9720yrs322
Petroluem consumption in Romaniar=0.9342yrs316
The number of typists in Indianar=0.9720yrs312
The marriage rate in Virginiar=0.9523yrs312
Arson in United Statesr=0.9338yrs311
Gasoline pumped in Somaliar=0.9242yrs304
The number of typists in Iowar=0.9720yrs302
Burglary rates in the USr=0.9338yrs301
The marriage rate in Alabamar=0.9423yrs300
Kerosene used in Thailandr=0.9242yrs294
The number of CEOs in Kentuckyr=0.9620yrs292
The marriage rate in Ohior=0.9423yrs290
Kerosene used in Argentinar=0.9142yrs283
The number of floral designers in Kentuckyr=0.9720yrs282
The marriage rate in South Carolinar=0.9423yrs280
Burglaries in Rhode Islandr=0.9538yrs274
Gasoline pumped in Cubar=0.9142yrs273
The number of postal service machine operators in Massachusettsr=0.9720yrs272
The divorce rate in North Carolinar=0.9323yrs270
Motor vehicle thefts in Oklahomar=0.9538yrs264
Kerosene used in Cubar=0.9142yrs263
The number of file clerks in Michiganr=0.9720yrs262
The marriage rate in Arizonar=0.9323yrs258
Kerosene used in Hong Kongr=0.9142yrs253
The number of postal service machine operators in Minnesotar=0.9720yrs252
Arson in Californiar=0.9438yrs252
The marriage rate in South Dakotar=0.9323yrs248
The number of postal service machine operators in New Yorkr=0.9720yrs242
Kerosene used in Brazilr=0.942yrs242
Arson in Colorador=0.9438yrs242
The marriage rate in Kentuckyr=0.9223yrs237
The number of cutters and trimmers, hand in North Carolinar=0.9720yrs232
Burglaries in Floridar=0.9438yrs232
Jet fuel used in Ukrainer=0.9330yrs224
The number of typists in Ohior=0.9720yrs222
Burglaries in Minnesotar=0.9438yrs222
Gasoline pumped in Germanyr=0.9132yrs213
The number of advertising and promotions managers in Puerto Ricor=0.9720yrs212
Burglaries in New Mexicor=0.9438yrs212
The number of compensation and benefits managers in Indianar=0.9819yrs202
Burglaries in Oklahomar=0.9438yrs202
Petroluem consumption in Uzbekistanr=0.9230yrs202
Burglaries in Texasr=0.9438yrs192
Liquefied petroleum gas used in Greenlandr=0.9422yrs188


Loading...!




<< Back to discover a correlation

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.)
Error :(