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

VariableCorrelationYearsSys. Score
Arson in United Statesr=0.9738yrs437
Burglary rates in the USr=0.9638yrs436
Remaining Forest Cover in the Brazilian Amazonr=0.9836yrs435
Kerosene used in Thailandr=0.9542yrs429
The distance between Neptune and Mercuryr=0.9748yrs421
The distance between Neptune and the Sunr=0.9748yrs421
The distance between Neptune and Earthr=0.9748yrs421
US birth rates of triplets or morer=0.9620yrs418
Burglaries in New Jerseyr=0.9838yrs418
The marriage rate in Alabamar=0.9523yrs412
The wind speed in Austinr=0.9739yrs412
United States music album salesr=0.9716yrs408
Viewership count for Days of Our Livesr=0.9347yrs407
Kerosene used in Uruguayr=0.9542yrs399
Kerosene used in Argentinar=0.9442yrs398
Air pollution in Oxnard, Californiar=0.9641yrs394
The number of human resources assistants in District of Columbiar=0.9820yrs393
The number of recreational therapists in Connecticutr=0.9720yrs392
The number of data entry keyers in Floridar=0.9720yrs392
US household spending on clothin for womenr=0.9523yrs392
The distance between Neptune and the moonr=0.9748yrs391
Portion of all US dairy skim-solids allocated to the production of frozen dairy productsr=0.9622yrs389
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milkr=0.9622yrs389
US average milk-fat content of frozen dairy productsr=0.9622yrs389
Burglaries in New Yorkr=0.9838yrs388
The divorce rate in Tennesseer=0.9523yrs383
The marriage rate in Nevadar=0.9523yrs382
Cigarette Smoking Rate for US adultsr=0.9521yrs380
Physical album shipment volume in the United Statesr=0.9324yrs380
Burglaries in Floridar=0.9738yrs377
Google searches for 'oprah winfrey'r=0.9319yrs376
Google searches for 'desktop background'r=0.9416yrs374
The wind speed in San Diegor=0.9239yrs374
Google searches for 'shook'r=0.9119yrs373
GMO use in corn grown in Texasr=0.9518yrs372
Kerosene used in Cubar=0.9442yrs368
Air pollution in Los Angelesr=0.9543yrs368
Burglaries in Illinoisr=0.9738yrs367
Air pollution in Los Angelesr=0.9343yrs364
The number of bill collectors in Illinoisr=0.9620yrs362
US household spending on clothingr=0.9523yrs362
Burglaries in Californiar=0.9738yrs357
Gasoline pumped in Francer=0.9343yrs357
The number of switchboard operators in Massachusettsr=0.9720yrs352
The divorce rate in Kentuckyr=0.9423yrs352
Frozen yogurt consumptionr=0.9532yrs348
Burglaries in Connecticutr=0.9738yrs347
Gasoline pumped in Bulgariar=0.9342yrs346
The number of file clerks in Massachusettsr=0.9720yrs342
The divorce rate in New Hampshirer=0.9423yrs342
Motor vehicle thefts in Massachusettsr=0.9738yrs337
Gasoline pumped in Cubar=0.9342yrs336
Milk consumptionr=0.9132yrs334
Air pollution in Oxnard, Californiar=0.9443yrs333
The number of computer programmers in Michiganr=0.9620yrs332
The marriage rate in Idahor=0.9423yrs330
Robberies in Michiganr=0.9738yrs327
Kerosene used in Turkiyer=0.9243yrs326
Air pollution in San Diego, Californiar=0.9443yrs323
The number of prepress technicians and workers in Michiganr=0.9720yrs322
The marriage rate in Kentuckyr=0.9423yrs320
Arson in Nevadar=0.9638yrs316
Kerosene used in Venezuelar=0.9342yrs316
The number of data entry keyers in Minnesotar=0.9720yrs312
The marriage rate in South Dakotar=0.9423yrs310
Arson in New Jerseyr=0.9638yrs306
The number of switchboard operators in New Hampshirer=0.9720yrs302
Kerosene used in Mexicor=0.9140yrs301
The divorce rate in Delawarer=0.9323yrs300
Arson in Californiar=0.9638yrs296
Carjackings in the USr=0.9427yrs292
The number of telemarketers in New Yorkr=0.9620yrs292
The divorce rate in Mainer=0.9323yrs290
Burglaries in Marylandr=0.9638yrs286
The number of switchboard operators in North Carolinar=0.9720yrs282
The divorce rate in North Carolinar=0.9323yrs280
Burglaries in Minnesotar=0.9638yrs276
The number of file clerks in Ohior=0.9720yrs272
The divorce rate in Washingtonr=0.9323yrs270
Geothermal power generated in Austriar=0.917yrs270
Burglaries in Montanar=0.9638yrs266
The number of counter and rental clerks in Pennsylvaniar=0.9720yrs262
The marriage rate in Arkansasr=0.9323yrs258
Burglaries in Arizonar=0.9638yrs256
Liquefied petroleum gas used in Kosovor=0.9114yrs255
The number of prepress technicians and workers in Pennsylvaniar=0.9720yrs252
The divorce rate in Alabamar=0.9223yrs248
Burglaries in Virginiar=0.9638yrs246
The number of switchboard operators in Virginiar=0.9720yrs242
The divorce rate in Illinoisr=0.9223yrs238
Motor vehicle thefts in Illinoisr=0.9638yrs236
The number of bill collectors in Washingtonr=0.9620yrs232
The divorce rate in Missourir=0.9223yrs228
Robberies in New Yorkr=0.9638yrs226
The number of floral designers in Indianar=0.9620yrs220
The divorce rate in Virginiar=0.9223yrs218
The number of postal service machine operators in Iowar=0.9620yrs210
The divorce rate in Wyomingr=0.9223yrs208
The number of switchboard operators in Mainer=0.9620yrs200
The marriage rate in Ohior=0.9223yrs197
The marriage rate in Virginiar=0.9223yrs187


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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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