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

VariableCorrelationYearsSys. Score
Kerosene used in Turkiyer=0.9843yrs434
Kerosene used in Mexicor=0.9840yrs432
Average number of milk cows in the United Statesr=0.9343yrs422
Arson in New Yorkr=0.9738yrs417
Burglaries in New Yorkr=0.9738yrs417
Burglaries in Californiar=0.9638yrs416
Petroluem consumption in Bulgariar=0.9442yrs398
Remaining Forest Cover in the Brazilian Amazonr=0.9136yrs394
Carjackings in the USr=0.9327yrs390
Burglaries in Colorador=0.9638yrs386
The number of executive administrative assistants in Puerto Ricor=0.9613yrs383
The divorce rate in Alabamar=0.9323yrs380
The divorce rate in Kentuckyr=0.9223yrs378
Popularity of the 'all your base' memer=0.9217yrs378
The divorce rate in Mississippir=0.9123yrs377
Robberies in Oregonr=0.9638yrs376
The wind speed in Nashviller=0.9139yrs373
Cottage cheese consumptionr=0.932yrs370
Gasoline pumped in Bulgariar=0.9442yrs368
Burglaries in Texasr=0.9538yrs364
Air pollution in Los Angelesr=0.9343yrs364
Air pollution in San Diego, Californiar=0.9543yrs364
Air pollution in Los Angelesr=0.943yrs360
Total length of LEMMiNO YouTube videosr=0.9111yrs360
Kerosene used in Portugalr=0.9343yrs357
The number of typists in Delawarer=0.9320yrs356
The number of patternmakers, metal and plastic in Iowar=0.9320yrs356
Burglaries in Connecticutr=0.9538yrs354
The distance between Neptune and Mercuryr=0.948yrs350
The distance between Neptune and the Sunr=0.8848yrs348
The distance between Neptune and Earthr=0.8848yrs348
The divorce rate in Wyomingr=0.9123yrs347
Kerosene used in Uruguayr=0.9342yrs346
Physical album shipment volume in the United Statesr=0.924yrs345
The wind speed in Austinr=0.939yrs342
US milk fat used to produce fluid beverage milkr=0.8822yrs340
The wind speed in San Diegor=0.8939yrs340
Cigarette Smoking Rate for US adultsr=0.8621yrs336
Kerosene used in Ecuadorr=0.9242yrs334
The marriage rate in Wyomingr=0.923yrs334
Burglary rates in the USr=0.9338yrs331
Air pollution in Oxnard, Californiar=0.9341yrs330
The number of typists in Pennsylvaniar=0.9320yrs326
Kerosene used in Venezuelar=0.9242yrs324
Air pollution in Norwich, Connecticutr=0.9242yrs319
Arson in United Statesr=0.9138yrs318
The distance between Neptune and the moonr=0.8848yrs318
The number of vending machine repairers in Nevadar=0.9120yrs314
Kerosene used in Boliviar=0.9142yrs313
Air pollution in Spokane, Washingtonr=0.9143yrs308
The number of file clerks in New Mexicor=0.9220yrs304
Petroluem consumption in Romaniar=0.9142yrs303
The divorce rate in North Carolinar=0.923yrs296
The number of couriers and messengers in Pennsylvaniar=0.9220yrs294
Kerosene used in Hong Kongr=0.942yrs292
Air pollution in Steamboat Springs, Colorador=0.938yrs292
Burglaries in Oregonr=0.9538yrs284
The marriage rate in Alabamar=0.923yrs284
The number of insulation workers in Floridar=0.9219yrs283
Gasoline pumped in Somaliar=0.942yrs282
Motor vehicle thefts in Massachusettsr=0.9538yrs274
The marriage rate in Idahor=0.923yrs274
The number of conveyor operators in Arkansasr=0.9120yrs272
Petroluem consumption in Ukrainer=0.9430yrs266
Burglaries in Oklahomar=0.9438yrs262
The number of receptionists in Delawarer=0.920yrs262
The marriage rate in Nevadar=0.8923yrs262
Jet fuel used in Ukrainer=0.9330yrs254
Burglaries in Rhode Islandr=0.9438yrs252
The number of payroll and timekeeping clerks in Georgiar=0.9120yrs252
The marriage rate in Arkansasr=0.8823yrs251
The number of conveyor operators in Massachusettsr=0.9119yrs242
Arson in Colorador=0.9338yrs241
Petroluem consumption in Belarusr=0.9130yrs241
The divorce rate in Floridar=0.8723yrs241
The number of surveying and mapping technicians in Minnesotar=0.9120yrs232
Burglaries in Floridar=0.9338yrs231
The marriage rate in Louisianar=0.8723yrs230
Geothermal power generated in Austriar=0.9217yrs222
The number of CEOs in New Hampshirer=0.920yrs222
Burglaries in Michiganr=0.9338yrs221
The divorce rate in Missourir=0.8623yrs220
The number of library technicians in Pennsylvaniar=0.9120yrs212
Burglaries in New Mexicor=0.9338yrs211
Gasoline pumped in Kosovor=0.9414yrs210
The divorce rate in New Hampshirer=0.8623yrs210
The number of CEOs in Rhode Islandr=0.920yrs202
Burglaries in Washingtonr=0.9338yrs201
The divorce rate in Virginiar=0.8623yrs200
Kerosene used in Romaniar=0.942yrs192
The number of legislators in South Carolinar=0.920yrs192
Motor vehicle thefts in Oklahomar=0.9338yrs191
The marriage rate in South Dakotar=0.8623yrs188
The number of vending machine repairers in Tennesseer=0.920yrs182
Kerosene used in Norwayr=0.8943yrs181
The divorce rate in Arkansasr=0.8523yrs178
The number of prepress technicians and workers in Texasr=0.9120yrs172
Kerosene used in Italyr=0.8843yrs170
The divorce rate in Mainer=0.8523yrs168
The number of painting, coating, and decorating workers in Virginiar=0.9120yrs162
The divorce rate in Tennesseer=0.8523yrs158


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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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