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

VariableCorrelationYearsHas img?
Arson in United Statesr=0.9638yrsNo



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

VariableCorrelationYearsSys. Score
Remaining Forest Cover in the Brazilian Amazonr=0.9736yrs434
Burglary rates in the USr=0.9538yrs434
Kerosene used in Turkiyer=0.9643yrs432
Kerosene used in Mexicor=0.9540yrs427
Burglaries in New Yorkr=0.9838yrs418
Average number of milk cows in the United Statesr=0.943yrs417
Gasoline pumped in Bulgariar=0.9442yrs398
Air pollution in Oxnard, Californiar=0.9541yrs392
Burglaries in Californiar=0.9838yrs388
The distance between Neptune and Mercuryr=0.9548yrs388
The distance between Neptune and Earthr=0.9448yrs386
The distance between Neptune and the moonr=0.9448yrs386
Motor vehicle thefts in Massachusettsr=0.9838yrs378
Physical album shipment volume in the United Statesr=0.9124yrs376
The marriage rate in Nevadar=0.9123yrs376
The divorce rate in Alabamar=0.923yrs376
The wind speed in Austinr=0.9339yrs376
Cottage cheese consumptionr=0.9232yrs374
US milk fat used to produce fluid beverage milkr=0.922yrs373
The wind speed in Nashviller=0.9139yrs373
The wind speed in San Diegor=0.9139yrs373
Viewership count for Days of Our Livesr=0.8947yrs371
Kerosene used in Uruguayr=0.9442yrs368
Burglaries in Colorador=0.9738yrs367
Air pollution in Los Angelesr=0.9443yrs366
Air pollution in Los Angelesr=0.9443yrs366
Burglaries in Connecticutr=0.9738yrs357
Kerosene used in Portugalr=0.9243yrs356
The number of prepress technicians and workers in Georgiar=0.9320yrs356
The distance between Neptune and the Sunr=0.9348yrs355
The number of housekeepers in Alabamar=0.9120yrs354
The number of sewing machine operators in Kansasr=0.9120yrs352
Robberies in Oregonr=0.9738yrs347
Kerosene used in Venezuelar=0.9342yrs346
The marriage rate in Idahor=0.923yrs344
US birth rates of triplets or morer=0.8620yrs342
Google searches for 'Stand-Up Maths'r=0.8916yrs337
Arson in New Yorkr=0.9638yrs336
Cigarette Smoking Rate for US adultsr=0.8621yrs336
Petroluem consumption in Bulgariar=0.9242yrs334
Air pollution in San Diego, Californiar=0.9543yrs334
Arson in Californiar=0.9638yrs326
GMO use in cottonr=0.8923yrs326
Kerosene used in Ecuadorr=0.9142yrs323
Air pollution in New York Cityr=0.9243yrs323
US average milk-fat content of frozen dairy productsr=0.9222yrs323
The number of sewing machine operators in Iowar=0.920yrs321
Burglaries in Floridar=0.9638yrs316
The divorce rate in Kentuckyr=0.8923yrs314
Kerosene used in Hong Kongr=0.9142yrs313
Air pollution in San Diego, Californiar=0.9343yrs312
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.9122yrs312
The number of brickmasons in Missourir=0.920yrs311
Robberies in Michiganr=0.9638yrs306
The wind speed in Milwaukeer=0.8639yrs306
The divorce rate in North Carolinar=0.8923yrs304
Petroluem consumption in Romaniar=0.9142yrs303
Carjackings in the USr=0.927yrs301
Air pollution in New York Cityr=0.943yrs300
Portion of all US dairy skim-solids allocated to the production of frozen dairy productsr=0.922yrs300
Arson in Colorador=0.9538yrs294
Kerosene used in Thailandr=0.9142yrs293
The marriage rate in Wyomingr=0.8923yrs292
Air pollution in Oxnard, Californiar=0.9143yrs288
Burglaries in Minnesotar=0.9538yrs284
Kerosene used in Argentinar=0.942yrs282
Milk consumptionr=0.932yrs282
The divorce rate in Tennesseer=0.8823yrs282
Air pollution in Riverside, Californiar=0.9143yrs278
Burglaries in Oklahomar=0.9538yrs274
Kerosene used in Norwayr=0.943yrs272
The number of CEOs in Alabamar=0.920yrs272
The marriage rate in Alabamar=0.8823yrs271
Frozen yogurt consumptionr=0.8932yrs269
Air pollution in Spokane, Washingtonr=0.9143yrs268
Burglaries in Oregonr=0.9538yrs264
The number of computer programmers in Marylandr=0.920yrs262
The divorce rate in Oregonr=0.8723yrs261
Air pollution in Steamboat Springs, Colorador=0.9338yrs256
Burglaries in Rhode Islandr=0.9538yrs254
Gasoline pumped in Germanyr=0.9132yrs253
Highest Nielsen rating for a TV show each yearr=0.8446yrs253
The marriage rate in Tennesseer=0.8723yrs250
Jet fuel used in Ukrainer=0.930yrs240
The divorce rate in Wyomingr=0.8623yrs240
Petroluem consumption in Uzbekistanr=0.930yrs230
The marriage rate in Arkansasr=0.8623yrs228
The divorce rate in Mississippir=0.8523yrs218
Air pollution in Philadelphia, Pennsylvaniar=0.8943yrs216
Liquefied petroleum gas used in Greenlandr=0.9122yrs213
The marriage rate in South Dakotar=0.8523yrs206
Burglaries in New Jerseyr=0.9538yrs204
Air pollution in Atlantic City, New Jerseyr=0.8843yrs204
Geothermal power generated in Austriar=0.9117yrs201
Burglaries in New Mexicor=0.9538yrs194
Air pollution in Manchester, New Hampshirer=0.8843yrs194
Air pollution in Philadelphia, Pennsylvaniar=0.8843yrs184
Kerosene used in Brazilr=0.942yrs182
Air pollution in Norwich, Connecticutr=0.8942yrs174
Gasoline pumped in Cubar=0.942yrs172


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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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