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

VariableCorrelationYearsHas img?
Remaining Forest Cover in the Brazilian Amazonr=0.9736yrsNo
Burglary rates in the USr=0.9638yrsNo


Popularity of the first name Herman also correlates with...

VariableCorrelationYearsSys. Score
Arson in United Statesr=0.9538yrs434
Kerosene used in Turkiyer=0.9643yrs432
Burglaries in New Yorkr=0.9838yrs418
Viewership count for Days of Our Livesr=0.9147yrs404
Gasoline pumped in Bulgariar=0.9442yrs398
Kerosene used in Uruguayr=0.9442yrs398
Air pollution in Oxnard, Californiar=0.9741yrs396
Air pollution in San Diego, Californiar=0.9543yrs394
Burglaries in Connecticutr=0.9838yrs388
The distance between Neptune and Mercuryr=0.9548yrs388
The distance between Neptune and the Sunr=0.9448yrs386
The distance between Neptune and Earthr=0.9448yrs386
Average number of milk cows in the United Statesr=0.8843yrs384
The marriage rate in Idahor=0.9423yrs380
The wind speed in Austinr=0.9539yrs379
Motor vehicle thefts in Massachusettsr=0.9838yrs378
US birth rates of triplets or morer=0.920yrs378
Physical album shipment volume in the United Statesr=0.9224yrs378
The marriage rate in Kentuckyr=0.9323yrs378
The marriage rate in Nevadar=0.9323yrs378
The wind speed in San Diegor=0.9339yrs376
Cottage cheese consumptionr=0.9232yrs374
Frozen yogurt consumptionr=0.9232yrs374
The wind speed in Nashviller=0.939yrs372
Kerosene used in Venezuelar=0.9442yrs368
Burglaries in Californiar=0.9738yrs367
Air pollution in Los Angelesr=0.9443yrs366
The number of computer programmers in New Jerseyr=0.9420yrs358
US household spending on clothingr=0.9323yrs358
US household spending on clothin for womenr=0.9323yrs358
Burglaries in Floridar=0.9638yrs356
Kerosene used in Argentinar=0.9342yrs356
The distance between Neptune and the moonr=0.9448yrs356
The number of sewing machine operators in Californiar=0.9320yrs356
The number of travel agents in Connecticutr=0.9320yrs356
US household spending on clothing for menr=0.9123yrs356
The marriage rate in South Dakotar=0.9323yrs348
Burglaries in New Mexicor=0.9638yrs346
Gasoline pumped in Cubar=0.9342yrs346
The marriage rate in Virginiar=0.9323yrs338
Burglaries in Rhode Islandr=0.9638yrs336
Kerosene used in Cubar=0.9342yrs336
Air pollution in Los Angelesr=0.9443yrs336
The divorce rate in Alabamar=0.9223yrs328
Burglaries in Virginiar=0.9638yrs326
Gasoline pumped in Francer=0.9243yrs326
The number of switchboard operators in Hawaiir=0.9320yrs326
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.9322yrs324
Air pollution in New York Cityr=0.9243yrs323
The divorce rate in New Hampshirer=0.9223yrs318
Burglaries in Colorador=0.9638yrs316
Kerosene used in Mexicor=0.9440yrs316
The number of switchboard operators in Indianar=0.9320yrs316
Portion of all US dairy skim-solids allocated to the production of frozen dairy productsr=0.9322yrs314
Air pollution in San Diego, Californiar=0.9443yrs313
The divorce rate in Tennesseer=0.9223yrs308
Robberies in Oregonr=0.9638yrs306
Kerosene used in Thailandr=0.9342yrs306
The number of telemarketers in New Jerseyr=0.9220yrs306
US average milk-fat content of frozen dairy productsr=0.9322yrs304
Air pollution in New York Cityr=0.9143yrs302
The marriage rate in Arkansasr=0.9223yrs297
Arson in New Yorkr=0.9538yrs294
Petroluem consumption in Romaniar=0.9242yrs294
The number of survey researchers in Californiar=0.9220yrs294
Carjackings in the USr=0.9427yrs292
Air pollution in Oxnard, Californiar=0.9343yrs292
The marriage rate in Louisianar=0.9223yrs287
Burglaries in Minnesotar=0.9538yrs284
The number of switchboard operators in Californiar=0.9220yrs284
Kerosene used in Brazilr=0.9142yrs283
Air pollution in Steamboat Springs, Colorador=0.9538yrs280
The divorce rate in Kentuckyr=0.9123yrs277
Burglaries in New Jerseyr=0.9538yrs274
The number of cutters and trimmers, hand in Californiar=0.9220yrs274
Petroluem consumption in Bulgariar=0.9142yrs273
Air pollution in Riverside, Californiar=0.9143yrs268
The marriage rate in Ohior=0.9123yrs266
Burglaries in Oklahomar=0.9538yrs264
The number of switchboard operators in Georgiar=0.9220yrs264
Gasoline pumped in Somaliar=0.9142yrs263
Air pollution in Atlantic City, New Jerseyr=0.943yrs257
Burglaries in Oregonr=0.9538yrs254
The number of telemarketers in Kansasr=0.9120yrs254
Kerosene used in Ecuadorr=0.942yrs252
Air pollution in Philadelphia, Pennsylvaniar=0.943yrs247
Burglaries in Texasr=0.9538yrs244
The number of prepress technicians and workers in Massachusettsr=0.9220yrs244
Motor vehicle thefts in New Jerseyr=0.9538yrs234
The number of file clerks in Ohior=0.9220yrs234
Petroluem consumption in Uzbekistanr=0.930yrs230
Robberies in Michiganr=0.9538yrs224
The number of switchboard operators in Oklahomar=0.9220yrs224
The number of travel agents in Pennsylvaniar=0.9220yrs214
The number of computer programmers in Tennesseer=0.9120yrs204
Kerosene used in Egyptr=0.942yrs202
Fossil fuel use in Sierra Leoner=0.8742yrs190
Kerosene used in Portugalr=0.8843yrs180
Kerosene used in United Statesr=0.8843yrs170


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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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