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

VariableCorrelationYearsSys. Score
Kerosene used in Mexicor=0.9840yrs432
Kerosene used in Turkiyer=0.9643yrs432
Average number of milk cows in the United Statesr=0.9543yrs424
Carjackings in the USr=0.9627yrs424
Burglaries in Colorador=0.9838yrs418
Burglaries in Oregonr=0.9738yrs417
The marriage rate in Nevadar=0.9723yrs414
The marriage rate in Tennesseer=0.9623yrs413
Physical album shipment volume in the United Statesr=0.9524yrs412
Remaining Forest Cover in the Brazilian Amazonr=0.9336yrs398
Petroluem consumption in Bulgariar=0.9442yrs398
The number of CEOs in Ohior=0.9820yrs394
Air pollution in Norwich, Connecticutr=0.9542yrs394
The number of postal service machine operators in Connecticutr=0.9820yrs393
The number of postal service machine operators in Illinoisr=0.9820yrs393
AIG's stock price (AIG)r=0.921yrs392
Robberies in Oregonr=0.9538yrs384
The marriage rate in Alabamar=0.9523yrs382
Google searches for 'learn spanish'r=0.9519yrs379
US milk fat used to produce fluid beverage milkr=0.9322yrs378
GMO use in corn grown in South Dakotar=0.9523yrs378
Ticket sales for Arizona Diamondbacks gamesr=0.9122yrs376
Frozen yogurt consumptionr=0.9232yrs374
Google searches for 'snoop dog'r=0.9219yrs374
Google searches for 'black holes'r=0.9119yrs373
Customer satisfaction with Verizonr=0.8828yrs368
Kerosene used in Boliviar=0.9342yrs366
Customer satisfaction with Frontier Communicationsr=0.8628yrs364
The number of postal service machine operators in Massachusettsr=0.9820yrs363
US household spending on booksr=0.9523yrs362
Air pollution in Manchester, New Hampshirer=0.9343yrs362
Citigroup's stock price (C)r=0.8821yrs359
Lloyds Banking Group's stock price (LYG)r=0.8821yrs359
GMO use in cottonr=0.9123yrs358
Air pollution in Norwich, Connecticutr=0.9142yrs358
Number of edits to the Wikipedia article for Thanksgivingr=0.8816yrs358
Gasoline pumped in Bulgariar=0.9342yrs356
US household spending on processed fruitsr=0.9123yrs356
US household spending on clothingr=0.9123yrs356
US household spending on clothing for menr=0.9123yrs356
US household spending on clothin for womenr=0.923yrs354
The number of postal service machine operators in New Yorkr=0.9820yrs353
The marriage rate in Idahor=0.9523yrs352
US birth rates of triplets or morer=0.920yrs348
Kerosene used in Portugalr=0.9243yrs346
The number of floral designers in Arizonar=0.9720yrs342
The divorce rate in Alabamar=0.9423yrs342
Arson in New Yorkr=0.9438yrs342
Kerosene used in Romaniar=0.9242yrs334
The number of typists in Arizonar=0.9720yrs332
The divorce rate in Tennesseer=0.9423yrs332
Burglaries in Washingtonr=0.9438yrs332
US average milk-fat content of frozen dairy productsr=0.9522yrs328
Kerosene used in U.S. Pacific Islandsr=0.9242yrs324
The number of postal service machine operators in Californiar=0.9720yrs322
Burglaries in Californiar=0.9438yrs322
The marriage rate in Wyomingr=0.9423yrs320
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.9422yrs316
Kerosene used in Ecuadorr=0.9142yrs313
The number of postal service machine operators in Colorador=0.9720yrs312
Burglaries in New Yorkr=0.9338yrs311
The marriage rate in Arkansasr=0.9323yrs308
Portion of all US dairy skim-solids allocated to the production of frozen dairy productsr=0.9222yrs303
The number of postal service machine operators in Georgiar=0.9720yrs302
The divorce rate in North Carolinar=0.9223yrs298
Arson in Colorador=0.9138yrs298
Jet fuel used in Ukrainer=0.9430yrs296
The number of data entry keyers in Georgiar=0.9720yrs292
Burglaries in Michiganr=0.9138yrs288
The marriage rate in Arizonar=0.9223yrs287
Gasoline pumped in Germanyr=0.9132yrs283
The number of postal service machine operators in Indianar=0.9720yrs282
Burglaries in Montanar=0.9138yrs278
The marriage rate in Ohior=0.9223yrs277
The number of postal service machine operators in Iowar=0.9720yrs272
Petroluem consumption in Uzbekistanr=0.9130yrs271
Burglaries in Oklahomar=0.9138yrs268
The marriage rate in South Carolinar=0.9223yrs267
The number of postal service machine operators in Kansasr=0.9720yrs262
Petroluem consumption in Ukrainer=0.930yrs260
Robberies in Michiganr=0.9138yrs258
The marriage rate in South Dakotar=0.9123yrs256
The number of postal service machine operators in Louisianar=0.9720yrs252
Liquefied petroleum gas used in Greenlandr=0.9522yrs249
The marriage rate in Virginiar=0.9123yrs246
Burglaries in Alaskar=0.938yrs246
The number of paper goods machine setters, operators, and tenders in Massachusettsr=0.9720yrs242
Jet fuel used in Saint Vincent/Grenadinesr=0.9124yrs235
The marriage rate in Kentuckyr=0.923yrs234
The number of postal service machine operators in Michiganr=0.9720yrs232
The number of postal service machine operators in Minnesotar=0.9720yrs222
Arson in United Statesr=0.8738yrs222
The number of postal service machine operators in Missourir=0.9720yrs212
Arson in Idahor=0.9122yrs212
Kerosene used in Uruguayr=0.942yrs212
The number of CEOs in New Jerseyr=0.9620yrs202
Burglary rates in the USr=0.8738yrs202
Kerosene used in Norwayr=0.8943yrs201
Kerosene used in United Statesr=0.8843yrs190
Kerosene used in Canadar=0.8743yrs178
Kerosene used in Hong Kongr=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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