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

VariableCorrelationYearsSys. Score
Violent crime ratesr=0.9335yrs418
Motor vehicle thefts in New Yorkr=0.9935yrs417
Robberies in New Yorkr=0.9835yrs416
Remaining Forest Cover in the Brazilian Amazonr=0.9333yrs394
Carjackings in the USr=0.9425yrs390
Petroluem consumption in Azerbaijanr=0.9428yrs384
Jet fuel used in Ukrainer=0.9428yrs384
Motor vehicle thefts in New Jerseyr=0.9635yrs382
Petroluem consumption in Ukrainer=0.9128yrs379
Per capita consumption of margariner=0.9710yrs378
Motor vehicle thefts in Texasr=0.9635yrs372
Frozen yogurt consumptionr=0.9230yrs372
Customer satisfaction with Verizonr=0.8926yrs367
Motor vehicle thefts in Texasr=0.9635yrs362
Customer satisfaction with Frontier Communicationsr=0.8626yrs362
Air pollution in Santa Maria, Californiar=0.9140yrs356
The number of food service managers in Louisianar=0.9417yrs354
The number of tool and die makers in New Jerseyr=0.9417yrs354
Motor vehicle thefts in Texasr=0.9635yrs352
The number of elementary school teachers in Rhode Islandr=0.9317yrs352
US household spending on clothing for menr=0.9120yrs352
US household spending on booksr=0.9120yrs352
US household spending on shoesr=0.920yrs351
Air quality in Ca¤on City, Colorador=0.9131yrs346
Air quality in Ca¤on City, Colorador=0.931yrs345
The divorce rate in North Dakotar=0.8921yrs342
The marriage rate in Arizonar=0.8821yrs339
The marriage rate in North Carolinar=0.8821yrs339
Google searches for 'Panama Canal'r=0.8916yrs337
Google searches for 'panama canal'r=0.8716yrs334
The wind speed in Bostonr=0.8933yrs334
The wind speed in San Diegor=0.8933yrs334
The wind speed in Austinr=0.8733yrs331
Robberies in the USr=0.9435yrs330
Kerosene used in Pakistanr=0.8540yrs322
US household spending on clothingr=0.920yrs321
The number of file clerks in Kansasr=0.9217yrs321
US household spending on beefr=0.8520yrs314
US household spending on porkr=0.8520yrs314
US household spending on processed fruitsr=0.8520yrs314
Motor vehicle theftsr=0.935yrs314
The number of vending machine repairers in Kansasr=0.9117yrs311
The marriage rate in Ohior=0.8821yrs309
Petroluem consumption in Belarusr=0.8828yrs304
The number of automotive body repairers in Michiganr=0.9217yrs301
The wind speed in Washington, D.C.r=0.8732yrs300
The marriage rate in Kentuckyr=0.8721yrs298
Gasoline pumped in Eritrear=0.8926yrs294
The number of furniture finishers in Oregonr=0.9217yrs291
Air pollution in Santa Maria, Californiar=0.8840yrs291
The marriage rate in Missourir=0.8721yrs288
The number of data entry keyers in Vermontr=0.9217yrs281
Burglaries in Connecticutr=0.9535yrs281
Jet fuel used in Saint Vincent/Grenadinesr=0.8922yrs280
The divorce rate in New Hampshirer=0.8621yrs278
Air pollution in Santa Maria, Californiar=0.8540yrs276
Burglaries in District of Columbiar=0.9535yrs271
The number of prepress technicians and workers in Alabamar=0.9117yrs270
Petroluem consumption in Uzbekistanr=0.8528yrs270
Air pollution in Steamboat Springs, Colorador=0.8835yrs266
Robberies in Illinoisr=0.9535yrs261
The number of sheet metal workers in Californiar=0.9117yrs260
Jet fuel used in Germany, Westr=0.9311yrs255
The number of data entry keyers in Colorador=0.9117yrs250
Robberies in Californiar=0.9435yrs250
Air pollution in Los Alamos, New Mexicor=0.8630yrs248
Customer satisfaction with Walmartr=0.7826yrs246
NASA's budget appropriationr=0.7545yrs244
The number of advertising and promotions managers in Georgiar=0.9117yrs240
Robberies in Connecticutr=0.9435yrs240
Ticket sales for Arizona Diamondbacks gamesr=0.8522yrs232
The number of file clerks in Georgiar=0.9117yrs230
Robberies in Connecticutr=0.9435yrs230
Ticket sales for Colorado Rockies gamesr=0.7927yrs228
Air pollution in Ponca City, Oklahomar=0.8521yrs228
NASA's budget as a percentage of the total US Federal Budgetr=0.6345yrs226
The number of highway maintenance workers in Kentuckyr=0.9117yrs220
Burglaries in New Yorkr=0.9335yrs218
The number of sewing machine operators in Kentuckyr=0.9117yrs210
Motor vehicle thefts in Massachusettsr=0.9335yrs208
The number of prepress technicians and workers in New Yorkr=0.9117yrs200
Burglaries in Kansasr=0.9235yrs196
The number of dietetic technicians in North Carolinar=0.9117yrs190
Burglaries in New Jerseyr=0.9235yrs186
The number of boiler operators in North Carolinar=0.9117yrs180
The number of foresters in Utahr=0.9117yrs170
The number of office clerks in Vermontr=0.9117yrs160
The marriage rate in Tennesseer=0.8521yrs160
Petroluem consumption in North Korear=0.8540yrs157
The marriage rate in South Carolinar=0.8421yrs148
Jet fuel used in Afghanistanr=0.8440yrs146
The divorce rate in Tennesseer=0.8321yrs138
Kerosene used in North Korear=0.8440yrs136
Kerosene used in Zambiar=0.8340yrs124
Kerosene used in Egyptr=0.8140yrs111
Gasoline pumped in Guinea-Bissaur=0.7940yrs98
Gasoline pumped in North Korear=0.7940yrs88
Gasoline pumped in United Kingdomr=0.7940yrs78
Gasoline pumped in Austriar=0.7840yrs66
Jet fuel used in French Polynesiar=0.7840yrs56
Kerosene used in Argentinar=0.7740yrs45


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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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