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

VariableCorrelationYearsSys. Score
Burglaries in New Yorkr=0.9738yrs417
Burglaries in Californiar=0.9738yrs417
Motor vehicle thefts in Massachusettsr=0.9738yrs417
Remaining Forest Cover in the Brazilian Amazonr=0.9536yrs400
Kerosene used in Turkiyer=0.9543yrs400
Kerosene used in Mexicor=0.9540yrs397
Gasoline pumped in Bulgariar=0.9342yrs396
Burglaries in Connecticutr=0.9638yrs386
The distance between Neptune and Earthr=0.9448yrs386
The distance between Neptune and Mercuryr=0.9448yrs386
The distance between Neptune and the moonr=0.9448yrs386
Average number of milk cows in the United Statesr=0.8843yrs384
The number of executive administrative assistants in Oregonr=0.9613yrs383
Physical album shipment volume in the United Statesr=0.9324yrs380
The marriage rate in Arkansasr=0.9323yrs378
The divorce rate in Floridar=0.9223yrs378
The divorce rate in North Carolinar=0.9223yrs378
Robberies in Michiganr=0.9638yrs376
Cottage cheese consumptionr=0.9332yrs375
The wind speed in Austinr=0.9239yrs374
The wind speed in San Diegor=0.9239yrs374
Viewership count for Days of Our Livesr=0.8947yrs371
Air pollution in Los Angelesr=0.9443yrs366
Air pollution in Los Angelesr=0.9443yrs366
Kerosene used in Hong Kongr=0.9342yrs366
Burglaries in Rhode Islandr=0.9538yrs364
Air pollution in New York Cityr=0.9243yrs363
US household spending on clothingr=0.9423yrs360
US household spending on clothing for menr=0.9223yrs357
US household spending on clothin for womenr=0.9223yrs357
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.9422yrs356
The number of telemarketers in Californiar=0.9220yrs356
The number of telemarketers in New Yorkr=0.9220yrs356
Kerosene used in Venezuelar=0.9342yrs356
The distance between Neptune and the Sunr=0.9348yrs355
The divorce rate in Wyomingr=0.9223yrs348
Arson in United Statesr=0.9538yrs344
Kerosene used in Uruguayr=0.9242yrs344
The marriage rate in Kansasr=0.9223yrs337
Burglary rates in the USr=0.9538yrs334
Kerosene used in Cubar=0.9142yrs333
Air pollution in San Diego, Californiar=0.9343yrs332
The divorce rate in Alabamar=0.9123yrs327
Portion of all US dairy skim-solids allocated to the production of frozen dairy productsr=0.9422yrs326
The number of postal service machine operators in Iowar=0.9220yrs324
Kerosene used in Thailandr=0.9142yrs323
Air pollution in Spokane, Washingtonr=0.9343yrs322
Robberies in the USr=0.9138yrs318
The divorce rate in Kentuckyr=0.9123yrs317
US average milk-fat content of frozen dairy productsr=0.9422yrs316
The number of boiler operators in Massachusettsr=0.9220yrs314
Kerosene used in Brazilr=0.942yrs312
Air pollution in Oxnard, Californiar=0.9441yrs311
The divorce rate in Oregonr=0.9123yrs307
The number of carpenters in Mississippir=0.9220yrs304
US average milk-fat content of cottage cheeser=0.9222yrs303
Petroluem consumption in Bulgariar=0.942yrs302
Air pollution in San Diego, Californiar=0.9243yrs300
The divorce rate in Tennesseer=0.9123yrs297
The number of switchboard operators in New Hampshirer=0.9220yrs294
Arson in New Yorkr=0.9538yrs294
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milkr=0.9122yrs292
Air pollution in Riverside, Californiar=0.9143yrs288
The marriage rate in Idahor=0.9123yrs286
The number of telemarketers in New Jerseyr=0.9120yrs284
Arson in Californiar=0.9538yrs284
Air pollution in Philadelphia, Pennsylvaniar=0.943yrs277
The marriage rate in South Dakotar=0.9123yrs276
The number of prepress technicians and workers in Pennsylvaniar=0.9220yrs274
Burglaries in Floridar=0.9538yrs274
The marriage rate in Wyomingr=0.9123yrs266
Air pollution in Steamboat Springs, Colorador=0.9238yrs265
The number of proofreaders in Wisconsinr=0.9220yrs264
Burglaries in Massachusettsr=0.9538yrs264
Gasoline pumped in Cubar=0.942yrs262
The divorce rate in Ohior=0.923yrs256
The number of millwrights in Wisconsinr=0.9220yrs254
Burglaries in Minnesotar=0.9538yrs254
Kerosene used in Ecuadorr=0.942yrs252
The marriage rate in Nevadar=0.923yrs244
Burglaries in New Jerseyr=0.9538yrs244
The number of data entry keyers in Alabamar=0.9120yrs242
Gasoline pumped in Francer=0.8943yrs241
Burglaries in Colorador=0.9538yrs234
The number of typists in Alabamar=0.9120yrs232
Kerosene used in United Statesr=0.8943yrs231
The number of travel agents in Connecticutr=0.9120yrs222
Burglaries in Illinoisr=0.9438yrs222
Fossil fuel use in Sierra Leoner=0.8742yrs220
The number of file clerks in Marylandr=0.9120yrs212
Burglaries in Arizonar=0.9438yrs212
Kerosene used in Argentinar=0.8942yrs210
The number of postmasters in Massachusettsr=0.9120yrs202
Burglaries in Texasr=0.9438yrs202
Petroluem consumption in Romaniar=0.8942yrs200
The number of psychiatric aides in Massachusettsr=0.9119yrs192
Burglaries in Virginiar=0.9438yrs192
Kerosene used in Australiar=0.8743yrs188
The number of costume attendants in Nevadar=0.9120yrs182
Kerosene used in Norwayr=0.8743yrs178
Kerosene used in Portugalr=0.8743yrs168


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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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