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

VariableCorrelationYearsSys. Score
Burglary rates in the USr=0.9738yrs437
Arson in United Statesr=0.9538yrs434
Robberies in the USr=0.9538yrs434
Kerosene used in Argentinar=0.9542yrs429
The distance between Neptune and the Sunr=0.9648yrs420
The distance between Neptune and Earthr=0.9648yrs420
The distance between Neptune and the moonr=0.9648yrs420
The divorce rate in Kentuckyr=0.9723yrs416
The divorce rate in Arkansasr=0.9523yrs413
Cigarette Smoking Rate for US adultsr=0.9721yrs412
US production of fluid beverage milkr=0.9622yrs412
United States music album salesr=0.9716yrs408
Google searches for 'desktop background'r=0.9516yrs406
Remaining Forest Cover in the Brazilian Amazonr=0.9536yrs400
Gasoline pumped in Austriar=0.9443yrs398
Kerosene used in Egyptr=0.9442yrs398
Air pollution in San Diego, Californiar=0.9643yrs396
The number of telemarketers in Massachusettsr=0.9820yrs394
The number of data entry keyers in Minnesotar=0.9920yrs394
The number of computer programmers in Oklahomar=0.9820yrs394
US household spending on postage and stationeryr=0.9523yrs392
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milkr=0.9722yrs390
Master's degrees awarded in gender studiesr=0.9910yrs388
Master's degrees awarded in linguisticsr=0.9910yrs388
How insightful LockPickingLawyer YouTube video titles arer=0.998yrs388
Burglaries in Floridar=0.9838yrs388
Associates degrees awarded in Business operationsr=0.9911yrs387
US birth rates of triplets or morer=0.9420yrs384
The divorce rate in Colorador=0.9523yrs383
The wind speed in San Diegor=0.9539yrs379
US dairy skim solids used to produce milk fat and skim solids byproduct fluid beverage milkr=0.9422yrs378
Burglaries in New Yorkr=0.9838yrs378
The wind speed in Austinr=0.9339yrs376
Burglaries in Connecticutr=0.9838yrs368
Gasoline pumped in Francer=0.9443yrs368
The number of computer programmers in Floridar=0.9720yrs363
The distance between Neptune and Mercuryr=0.9548yrs358
Kerosene used in Thailandr=0.9442yrs358
Burglaries in Massachusettsr=0.9738yrs357
Bachelor's degrees awarded in linguisticsr=0.9810yrs356
The divorce rate in Idahor=0.9523yrs353
The number of file clerks in Mississippir=0.9820yrs353
Burglaries in Virginiar=0.9738yrs347
Cottage cheese consumptionr=0.9432yrs346
Kerosene used in Cubar=0.9342yrs346
Associates degrees awarded in Businessr=0.9711yrs344
The divorce rate in Mainer=0.9523yrs343
The number of computer programmers in New Yorkr=0.9720yrs343
Motor vehicle thefts in Massachusettsr=0.9738yrs337
Kerosene used in Venezuelar=0.9342yrs336
Associates degrees awarded in Accountingr=0.9711yrs334
Milk consumptionr=0.9132yrs334
The number of file clerks in New Yorkr=0.9820yrs333
The divorce rate in Delawarer=0.9423yrs332
Motor vehicle thefts in New Jerseyr=0.9738yrs327
Gasoline pumped in Cubar=0.9242yrs324
The number of bill collectors in Washingtonr=0.9720yrs323
Culinary Associates degrees awardedr=0.9611yrs322
The divorce rate in Virginiar=0.9423yrs322
Robberies in New Yorkr=0.9738yrs317
The number of receptionists in Puerto Ricor=0.9720yrs313
Kerosene used in Pakistanr=0.9142yrs313
Associates degrees awarded in health assistancer=0.9611yrs312
The divorce rate in Washingtonr=0.9423yrs312
Burglaries in Illinoisr=0.9638yrs306
The number of procurement clerks in Alabamar=0.9720yrs302
Associates degrees awarded in Legal professions and studiesr=0.9611yrs302
The divorce rate in Wyomingr=0.9423yrs302
Burglaries in Kansasr=0.9638yrs296
Gasoline pumped in Latviar=0.9231yrs294
The number of recreational therapists in Connecticutr=0.9720yrs292
The divorce rate in Floridar=0.9323yrs290
Burglaries in Missourir=0.9638yrs286
The number of bill collectors in Connecticutr=0.9620yrs282
Liquefied petroleum gas used in Belarusr=0.9230yrs282
The divorce rate in Illinoisr=0.9323yrs280
Burglaries in New Jerseyr=0.9638yrs276
The number of computer programmers in Kansasr=0.9620yrs272
Petroluem consumption in Ukrainer=0.9230yrs272
The divorce rate in Mississippir=0.9323yrs270
Burglaries in New Mexicor=0.9638yrs266
The number of CEOs in Massachusettsr=0.9719yrs262
Jet fuel used in Ukrainer=0.9230yrs262
The divorce rate in New Hampshirer=0.9323yrs260
Burglaries in Texasr=0.9638yrs256
The number of receptionists in Minnesotar=0.9620yrs252
The divorce rate in North Carolinar=0.9323yrs250
Burglaries in Californiar=0.9638yrs246
The number of file clerks in Oregonr=0.9720yrs242
The divorce rate in Texasr=0.9323yrs240
Motor vehicle thefts in Rhode Islandr=0.9638yrs236
The number of legislators in Tennesseer=0.9620yrs232
The divorce rate in Wisconsinr=0.9323yrs230
Robberies in Washingtonr=0.9638yrs226
The number of file clerks in Washingtonr=0.9720yrs222
The marriage rate in Alaskar=0.9323yrs218
The number of home appliance repairers in Wisconsinr=0.9720yrs212
The marriage rate in Louisianar=0.9323yrs208
The number of boiler operators in Wisconsinr=0.9720yrs202
The divorce rate in Michiganr=0.9223yrs198
The divorce rate in Missourir=0.9223yrs188


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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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