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

VariableCorrelationYearsSys. Score
Kerosene used in Turkiyer=0.9743yrs433
Kerosene used in Mexicor=0.9740yrs430
Number of edits to the Wikipedia article for Thanksgivingr=0.9616yrs430
Carjackings in the USr=0.9627yrs424
Average number of milk cows in the United Statesr=0.9443yrs423
Burglaries in Colorador=0.9838yrs418
Physical album shipment volume in the United Statesr=0.9824yrs417
The marriage rate in Wyomingr=0.9823yrs416
Arson in New Yorkr=0.9638yrs416
Popularity of the 'all your base' memer=0.9717yrs416
Google searches for 'learn spanish'r=0.9819yrs414
The marriage rate in Idahor=0.9723yrs414
The marriage rate in Nevadar=0.9723yrs414
Google searches for 'black holes'r=0.9619yrs410
Citigroup's stock price (C)r=0.9521yrs400
Remaining Forest Cover in the Brazilian Amazonr=0.9436yrs399
AIG's stock price (AIG)r=0.9421yrs398
Petroluem consumption in Bulgariar=0.9442yrs398
Lloyds Banking Group's stock price (LYG)r=0.9221yrs395
The number of sewing machine operators in Alabamar=0.9920yrs394
The number of postal service machine operators in Californiar=0.9820yrs393
The number of tapers in Illinoisr=0.9820yrs393
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.9622yrs389
Burglaries in Oregonr=0.9638yrs386
The divorce rate in Alabamar=0.9623yrs384
US milk fat used to produce fluid beverage milkr=0.9522yrs380
US birth rates of triplets or morer=0.920yrs378
Burglaries in Californiar=0.9638yrs376
GMO use in cotton in North Carolinar=0.9523yrs374
Google searches for 'Panama Canal'r=0.9219yrs374
GMO use in cotton in Alabamar=0.9518yrs370
Gasoline pumped in Bulgariar=0.9442yrs368
Robberies in Oregonr=0.9638yrs366
The number of payroll and timekeeping clerks in Michiganr=0.9820yrs363
Air pollution in Los Angelesr=0.9243yrs363
Air pollution in New York Cityr=0.9243yrs363
GMO use in cottonr=0.9223yrs360
Air pollution in Manchester, New Hampshirer=0.9243yrs360
US household spending on floor coveringsr=0.9323yrs358
Kerosene used in Portugalr=0.9243yrs356
The number of prepress technicians and workers in New Hampshirer=0.9820yrs353
Kerosene used in Boliviar=0.9242yrs344
Cottage cheese consumptionr=0.9232yrs344
Google searches for 'snoop dog'r=0.9219yrs344
The number of postal service machine operators in Arizonar=0.9720yrs342
The marriage rate in Alabamar=0.9423yrs340
Burglary rates in the USr=0.938yrs336
Kerosene used in Ecuadorr=0.9242yrs334
The number of sewing machine operators in Arkansasr=0.9720yrs332
Google searches for 'panama canal'r=0.919yrs332
The marriage rate in Arkansasr=0.9423yrs330
Air pollution in Oxnard, Californiar=0.9341yrs330
Kerosene used in Romaniar=0.9242yrs324
The number of postal service machine operators in Illinoisr=0.9720yrs322
Google searches for 'Britney Spears'r=0.9315yrs322
The divorce rate in North Carolinar=0.9323yrs320
Air pollution in San Diego, Californiar=0.9243yrs320
US average milk-fat content of frozen dairy productsr=0.9522yrs318
Kerosene used in Uruguayr=0.9242yrs314
Burglaries in New Yorkr=0.9538yrs314
The number of CEOs in Kentuckyr=0.9620yrs312
The marriage rate in Virginiar=0.9323yrs308
Air pollution in Norwich, Connecticutr=0.9142yrs308
Kerosene used in Hong Kongr=0.9142yrs303
The number of postal service machine operators in Louisianar=0.9720yrs302
Arson in Colorador=0.9338yrs301
The marriage rate in Arizonar=0.9223yrs297
The number of postal service machine operators in Massachusettsr=0.9720yrs292
Burglaries in Alaskar=0.9338yrs291
The marriage rate in Tennesseer=0.9223yrs287
Jet fuel used in Ukrainer=0.9330yrs284
The number of millwrights in Michiganr=0.9720yrs282
Burglaries in Washingtonr=0.9338yrs281
The divorce rate in Kentuckyr=0.9123yrs277
The number of sewing machine operators in Mississippir=0.9720yrs272
Robberies in Michiganr=0.9338yrs271
Petroluem consumption in Ukrainer=0.9130yrs271
The divorce rate in Tennesseer=0.9123yrs267
The number of CEOs in New Jerseyr=0.9620yrs262
Petroluem consumption in Uzbekistanr=0.9130yrs261
Burglaries in Michiganr=0.9238yrs260
The marriage rate in South Dakotar=0.9123yrs256
The number of telemarketers in New Jerseyr=0.9620yrs252
Burglaries in Oklahomar=0.9238yrs250
Liquefied petroleum gas used in Greenlandr=0.9522yrs249
The number of postal service machine operators in New Jerseyr=0.9720yrs242
Burglaries in Connecticutr=0.9238yrs240
The number of postal service machine operators in New Yorkr=0.9720yrs232
Geothermal power generated in Austriar=0.9117yrs231
Motor vehicle thefts in Massachusettsr=0.9238yrs230
The number of survey researchers in Ohior=0.9720yrs222
Motor vehicle thefts in Oklahomar=0.9238yrs220
Gasoline pumped in Kosovor=0.9314yrs218
The number of carpenters in Ohior=0.9720yrs212
Arson in Californiar=0.9138yrs208
The number of tapers in Ohior=0.9720yrs202
Kerosene used in United Statesr=0.8943yrs201
Burglaries in Minnesotar=0.9138yrs198
Kerosene used in Norwayr=0.8843yrs190
Burglaries in Montanar=0.9138yrs188
Kerosene used in Venezuelar=0.8942yrs180


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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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