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

VariableCorrelationYearsSys. Score
Kerosene used in Turkiyer=0.9743yrs433
Gasoline pumped in Bulgariar=0.9642yrs430
Kerosene used in Mexicor=0.9740yrs430
Carjackings in the USr=0.9527yrs423
Average number of milk cows in the United Statesr=0.9243yrs420
Robberies in Oregonr=0.9838yrs418
Burglaries in Oregonr=0.9738yrs417
Remaining Forest Cover in the Brazilian Amazonr=0.9336yrs398
Air pollution in San Diego, Californiar=0.9643yrs396
Air pollution in Oxnard, Californiar=0.9641yrs394
Burglaries in Colorador=0.9738yrs387
The distance between Neptune and Mercuryr=0.9248yrs384
The distance between Neptune and Earthr=0.9148yrs382
The distance between Neptune and the moonr=0.9148yrs382
The divorce rate in Alabamar=0.9223yrs378
The marriage rate in Nevadar=0.9223yrs377
The marriage rate in Tennesseer=0.9223yrs377
Burglaries in New Yorkr=0.9638yrs376
Physical album shipment volume in the United Statesr=0.9124yrs376
Frozen yogurt consumptionr=0.9432yrs376
The wind speed in Nashviller=0.9239yrs374
The wind speed in Austinr=0.9139yrs373
Petroluem consumption in Bulgariar=0.9442yrs368
Viewership count for Days of Our Livesr=0.8747yrs368
Air pollution in Los Angelesr=0.9543yrs368
Burglaries in Californiar=0.9638yrs366
Highest Nielsen rating for a TV show each yearr=0.8646yrs361
Kerosene used in Uruguayr=0.9442yrs358
Arson in New Yorkr=0.9538yrs354
The distance between Neptune and the Sunr=0.948yrs350
Votes for the Republican Presidential candidate in Washington, D.C.r=0.9312yrs350
Kerosene used in Venezuelar=0.9442yrs348
The marriage rate in Wyomingr=0.9223yrs347
The wind speed in San Diegor=0.8939yrs340
Milk consumptionr=0.8732yrs338
Kerosene used in Ecuadorr=0.9342yrs336
The divorce rate in Tennesseer=0.923yrs336
Air pollution in Los Angelesr=0.9343yrs334
Burglary rates in the USr=0.9238yrs330
Kerosene used in Portugalr=0.9243yrs326
The marriage rate in Idahor=0.923yrs324
Air pollution in New York Cityr=0.9243yrs323
US household spending on booksr=0.8823yrs321
The number of cutters and trimmers, hand in Indianar=0.8920yrs320
Arson in United Statesr=0.9138yrs318
The marriage rate in Ohior=0.923yrs314
Kerosene used in Boliviar=0.9142yrs313
Air pollution in San Diego, Californiar=0.9343yrs312
Cottage cheese consumptionr=0.8832yrs308
The wind speed in Minneapolisr=0.8839yrs308
The marriage rate in South Carolinar=0.923yrs304
Gasoline pumped in Cubar=0.9142yrs303
Air pollution in Spokane, Washingtonr=0.943yrs297
Burglaries in Washingtonr=0.9538yrs294
The wind speed in Milwaukeer=0.8539yrs294
Kerosene used in Hong Kongr=0.9142yrs293
Motor vehicle thefts in Massachusettsr=0.9538yrs284
Air pollution in Steamboat Springs, Colorador=0.9138yrs284
Petroluem consumption in Romaniar=0.9142yrs283
US average milk-fat content of frozen dairy productsr=0.922yrs280
Kerosene used in Romaniar=0.9142yrs273
Burglaries in Oklahomar=0.9438yrs272
The marriage rate in Arkansasr=0.923yrs264
Gasoline pumped in Somaliar=0.9142yrs263
Burglaries in Rhode Islandr=0.9438yrs262
Customer satisfaction with Frontier Communicationsr=0.8428yrs256
Burglaries in Texasr=0.9438yrs252
The marriage rate in Arizonar=0.8923yrs252
Customer satisfaction with Verizonr=0.828yrs250
Air pollution in New York Cityr=0.8843yrs247
Burglaries in Connecticutr=0.9438yrs242
The marriage rate in Kentuckyr=0.8923yrs242
Petroluem consumption in Uzbekistanr=0.930yrs240
Air pollution in Manchester, New Hampshirer=0.8943yrs236
Robberies in Michiganr=0.9438yrs232
The marriage rate in South Dakotar=0.8923yrs232
Air pollution in Oxnard, Californiar=0.8943yrs226
The marriage rate in Virginiar=0.8923yrs222
Arson in Colorador=0.9338yrs221
Air pollution in Riverside, Californiar=0.8943yrs216
Kerosene used in Cubar=0.942yrs212
The divorce rate in Kentuckyr=0.8823yrs212
Burglaries in New Mexicor=0.9338yrs211
Air pollution in Norwich, Connecticutr=0.8842yrs203
The divorce rate in New Hampshirer=0.8823yrs202
Motor vehicle thefts in Oklahomar=0.9338yrs201
Kerosene used in United Statesr=0.8943yrs201
The divorce rate in North Carolinar=0.8823yrs192
Air pollution in Manchester, New Hampshirer=0.8743yrs192
Burglaries in Floridar=0.9238yrs190
Kerosene used in Argentinar=0.8942yrs190
The divorce rate in Wyomingr=0.8823yrs182
Air pollution in Medford, Oregonr=0.8743yrs182
Kerosene used in Brazilr=0.8942yrs180
The marriage rate in Alabamar=0.8823yrs171
Air pollution in Atlantic City, New Jerseyr=0.8643yrs171
Kerosene used in Norwayr=0.8843yrs170
The marriage rate in Louisianar=0.8823yrs161
Air pollution in Philadelphia, Pennsylvaniar=0.8643yrs161
The divorce rate in Floridar=0.8723yrs151
Air pollution in Philadelphia, Pennsylvaniar=0.8643yrs151


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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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