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

VariableCorrelationYearsHas img?
Motor vehicle thefts in Massachusettsr=0.9838yrsNo
Kerosene used in Venezuelar=0.9642yrsNo
Remaining Forest Cover in the Brazilian Amazonr=0.9636yrsNo
Carjackings in the USr=0.9627yrsNo
Kerosene used in Uruguayr=0.9442yrsNo
Viewership count for Days of Our Livesr=0.9347yrsNo


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

VariableCorrelationYearsSys. Score
Kerosene used in Turkiyer=0.9543yrs430
Gasoline pumped in Bulgariar=0.9542yrs429
The distance between Neptune and Earthr=0.9648yrs420
The distance between Neptune and Mercuryr=0.9648yrs420
The distance between Neptune and the moonr=0.9648yrs420
Burglaries in New Yorkr=0.9938yrs420
Burglaries in Californiar=0.9838yrs418
The marriage rate in Idahor=0.9823yrs416
The marriage rate in Nevadar=0.9823yrs416
Physical album shipment volume in the United Statesr=0.9624yrs414
The marriage rate in Arkansasr=0.9523yrs412
Air pollution in Los Angelesr=0.9643yrs399
Air pollution in Los Angelesr=0.9643yrs399
Air pollution in San Diego, Californiar=0.9743yrs398
AIG's stock price (AIG)r=0.9221yrs395
Lloyds Banking Group's stock price (LYG)r=0.9121yrs394
The number of brickmasons in Alabamar=0.9720yrs392
The number of telemarketers in Californiar=0.9620yrs392
The number of sewing machine operators in Californiar=0.9720yrs392
US average milk-fat content of frozen dairy productsr=0.9722yrs390
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.9622yrs389
The distance between Neptune and the Sunr=0.9548yrs388
Portion of all US dairy skim-solids allocated to the production of frozen dairy productsr=0.9522yrs388
US birth rates of triplets or morer=0.9320yrs383
The marriage rate in Tennesseer=0.9523yrs382
Culinary Associates degrees awardedr=0.9511yrs381
Robberies in Oregonr=0.9838yrs378
The wind speed in Austinr=0.9439yrs378
Google searches for 'panama canal'r=0.9319yrs376
Google searches for 'learn spanish'r=0.9319yrs376
The marriage rate in Virginiar=0.9523yrs372
Kerosene used in Argentinar=0.9542yrs369
Arson in New Yorkr=0.9738yrs367
Air pollution in Oxnard, Californiar=0.9741yrs366
The number of CEOs in Ohior=0.9620yrs362
Kerosene used in Thailandr=0.9542yrs359
Burglaries in Colorador=0.9738yrs357
Average number of milk cows in the United Statesr=0.943yrs357
Air pollution in San Diego, Californiar=0.9643yrs356
The number of postal service machine operators in Californiar=0.9620yrs350
Gasoline pumped in Cubar=0.9442yrs348
Burglaries in Connecticutr=0.9738yrs347
The number of data entry keyers in Californiar=0.9620yrs340
Kerosene used in Cubar=0.9442yrs338
US milk fat used to produce fluid beverage milkr=0.9322yrs338
Burglaries in Oregonr=0.9638yrs336
The divorce rate in Tennesseer=0.9523yrs333
The number of upholsterers in Californiar=0.9620yrs330
Burglaries in Floridar=0.9538yrs324
The marriage rate in Alabamar=0.9523yrs322
The number of file clerks in Colorador=0.9620yrs320
Gasoline pumped in Francer=0.9343yrs317
Burglaries in New Mexicor=0.9538yrs314
The marriage rate in South Dakotar=0.9523yrs312
The number of postal service machine operators in Colorador=0.9620yrs310
Kerosene used in Mexicor=0.9440yrs306
Burglaries in Rhode Islandr=0.9538yrs304
The divorce rate in Alabamar=0.9423yrs302
The number of postal service machine operators in Connecticutr=0.9620yrs300
Petroluem consumption in Romaniar=0.9342yrs296
Burglaries in Texasr=0.9538yrs294
The number of typists in Connecticutr=0.9620yrs290
The marriage rate in Arizonar=0.9423yrs290
Gasoline pumped in Somaliar=0.9342yrs286
Motor vehicle thefts in New Jerseyr=0.9538yrs284
The number of typists in Floridar=0.9620yrs280
The marriage rate in Kentuckyr=0.9423yrs280
Robberies in Michiganr=0.9538yrs274
Kerosene used in Brazilr=0.9242yrs274
The number of prepress technicians and workers in Floridar=0.9620yrs270
The marriage rate in Ohior=0.9423yrs270
Robberies in New Yorkr=0.9538yrs264
Petroluem consumption in Bulgariar=0.9242yrs264
The number of advertising and promotions managers in Idahor=0.9620yrs260
The marriage rate in Wyomingr=0.9423yrs260
Kerosene used in Ecuadorr=0.9242yrs254
The number of prepress technicians and workers in Illinoisr=0.9620yrs250
The divorce rate in North Carolinar=0.9323yrs250
Arson in United Statesr=0.9538yrs244
Kerosene used in Egyptr=0.9242yrs244
The number of typists in Iowar=0.9620yrs240
The marriage rate in Missourir=0.9223yrs237
Burglary rates in the USr=0.9538yrs234
The number of postal service machine operators in Kansasr=0.9620yrs230
The marriage rate in South Carolinar=0.9223yrs227
Jet fuel used in Ukrainer=0.9330yrs224
Arson in Idahor=0.9622yrs220
The number of file clerks in Marylandr=0.9620yrs220
The divorce rate in Kentuckyr=0.9123yrs217
Petroluem consumption in Uzbekistanr=0.9230yrs212
The number of postal service machine operators in Nebraskar=0.9620yrs210
The marriage rate in North Carolinar=0.9123yrs206
The number of postal service machine operators in New Jerseyr=0.9620yrs200
Liquefied petroleum gas used in Greenlandr=0.9522yrs199
Arson in Colorador=0.9538yrs194


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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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