about · email me · subscribe
← Discover a correlation

Small Image
Data source: US Social Security Administration
Report an error



Popularity of the first name Charles correlates with...

VariableCorrelationYearsHas img?
Kerosene used in Mexicor=0.9740yrsNo
Arson in New Yorkr=0.9738yrsNo
Air pollution in San Diego, Californiar=0.9643yrsNo
Burglaries in Californiar=0.9638yrsNo
Burglaries in Colorador=0.9638yrsNo
Burglaries in New Yorkr=0.9638yrsNo
Air pollution in Los Angelesr=0.9543yrsNo
Average number of milk cows in the United Statesr=0.9243yrsNo
The marriage rate in Hawaiir=0.8823yrsNo
Air pollution in Portland, Oregonr=0.8343yrsNo



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

VariableCorrelationYearsSys. Score
Kerosene used in Turkiyer=0.9743yrs433
Burglaries in Texasr=0.9638yrs416
Petroluem consumption in Bulgariar=0.9542yrs399
The number of computer programmers in Missourir=0.9520yrs390
The number of file clerks in Missourir=0.9620yrs390
The number of switchboard operators in Hawaiir=0.9520yrs388
The distance between Neptune and Mercuryr=0.9348yrs385
The distance between Neptune and the Sunr=0.9248yrs384
The distance between Neptune and Earthr=0.9248yrs384
Average length of LockPickingLawyer YouTube videosr=0.978yrs376
Kerosene used in Venezuelar=0.9542yrs369
Viewership count for Days of Our Livesr=0.8647yrs366
Air pollution in Los Angelesr=0.9343yrs364
Remaining Forest Cover in the Brazilian Amazonr=0.8936yrs362
Highest Nielsen rating for a TV show each yearr=0.8646yrs361
Gasoline pumped in Bulgariar=0.9442yrs358
The number of insurance claims and policy processing clerks in New Yorkr=0.9520yrs358
How insightful LockPickingLawyer YouTube video titles arer=0.978yrs356
How geeky LockPickingLawyer YouTube video titles arer=0.978yrs356
The distance between Neptune and the moonr=0.9248yrs354
Burglary rates in the USr=0.9338yrs351
Kerosene used in Ecuadorr=0.9342yrs346
Google searches for 'panama canal'r=0.919yrs342
The wind speed in Nashviller=0.939yrs342
Cottage cheese consumptionr=0.932yrs340
The marriage rate in Oregonr=0.8723yrs340
The wind speed in San Diegor=0.8939yrs340
The marriage rate in Louisianar=0.8623yrs338
The wind speed in Austinr=0.8839yrs338
Google searches for 'Panama Canal'r=0.8719yrs337
Gasoline pumped in Somaliar=0.9342yrs336
Google searches for 'shook'r=0.8519yrs334
Air pollution in New York Cityr=0.9143yrs332
Petroluem consumption in Romaniar=0.9242yrs324
US household spending on postage and stationeryr=0.923yrs324
Burglaries in Rhode Islandr=0.9438yrs322
Air pollution in Oxnard, Californiar=0.9541yrs322
The number of CEOs in Indianar=0.9520yrs320
Kerosene used in Uruguayr=0.9242yrs314
Burglaries in Connecticutr=0.9438yrs312
Air pollution in San Diego, Californiar=0.9343yrs312
Total comments on Computerphile YouTube videosr=0.9210yrs310
The number of telemarketers in Kansasr=0.9420yrs308
The wind speed in Minneapolisr=0.8539yrs304
Gasoline pumped in Cubar=0.9142yrs303
Air pollution in Spokane, Washingtonr=0.9343yrs302
Burglaries in Oklahomar=0.9338yrs301
The number of switchboard operators in Nebraskar=0.9520yrs298
Total likes of Computerphile YouTube videosr=0.910yrs297
Kerosene used in Hong Kongr=0.9142yrs293
Burglaries in Oregonr=0.9338yrs291
The number of switchboard operators in Nevadar=0.9520yrs288
Kerosene used in Cubar=0.942yrs282
Air pollution in Steamboat Springs, Colorador=0.938yrs282
Burglaries in Washingtonr=0.9338yrs281
The number of telemarketers in Arizonar=0.9320yrs277
Total views on Computerphile YouTube videosr=0.9410yrs273
Motor vehicle thefts in Massachusettsr=0.9338yrs271
The number of salespeople in Connecticutr=0.9420yrs267
Robberies in Michiganr=0.9338yrs261
Petroluem consumption in Ukrainer=0.9130yrs261
The number of file clerks in Floridar=0.9420yrs257
Robberies in Oregonr=0.9338yrs251
Petroluem consumption in Belarusr=0.930yrs250
The number of bill collectors in Massachusettsr=0.9320yrs247
Air pollution in Manchester, New Hampshirer=0.8943yrs246
Burglaries in Floridar=0.9238yrs240
Jet fuel used in Ukrainer=0.930yrs240
The number of receptionists in Montanar=0.9320yrs237
Air pollution in Riverside, Californiar=0.8943yrs236
Burglaries in Massachusettsr=0.9238yrs230
The number of travel agents in Virginiar=0.9420yrs227
Air pollution in New York Cityr=0.8643yrs224
Burglaries in Michiganr=0.9238yrs220
Petroluem consumption in Former Czechoslovakiar=0.9413yrs218
The number of office clerks in Alabamar=0.9320yrs216
Air pollution in New York Cityr=0.8643yrs214
Burglaries in New Hampshirer=0.9238yrs210
The number of travel agents in Illinoisr=0.9320yrs206
Air pollution in Oxnard, Californiar=0.8843yrs204
Burglaries in New Mexicor=0.9238yrs200
Kerosene used in Argentinar=0.8942yrs200
The number of telemarketers in Illinoisr=0.9220yrs196
Air pollution in Medford, Oregonr=0.8743yrs192
Robberies in Massachusettsr=0.9238yrs190
Kerosene used in Boliviar=0.8942yrs190
The number of authors in Kansasr=0.9220yrs186
Air pollution in Norwich, Connecticutr=0.8742yrs182
Kerosene used in Brazilr=0.8942yrs180
The number of cooks, short order in Michiganr=0.9320yrs176
Kerosene used in Portugalr=0.8843yrs170
The number of travel agents in Pennsylvaniar=0.9320yrs166


Loading...!




<< Back to discover a correlation

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.)
Error :(