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

VariableCorrelationYearsHas img?
Burglaries in Minnesotar=0.9738yrsNo
Arson in United Statesr=0.9638yrsNo
Google searches for 'learn spanish'r=0.9519yrsNo
Kerosene used in Turkiyer=0.9543yrsNo
Google searches for 'black holes'r=0.9319yrsNo
Air pollution in Hartford, Connecticutr=0.943yrsYes!
Air pollution in Bostonr=0.843yrsNo


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

VariableCorrelationYearsSys. Score
Remaining Forest Cover in the Brazilian Amazonr=0.9736yrs434
Burglary rates in the USr=0.9538yrs434
Kerosene used in Mexicor=0.9540yrs427
Physical album shipment volume in the United Statesr=0.9824yrs417
The marriage rate in Wyomingr=0.9823yrs416
The marriage rate in Arkansasr=0.9723yrs414
The marriage rate in Idahor=0.9723yrs414
Milk consumptionr=0.9632yrs411
United States music album salesr=0.9716yrs408
Cottage cheese consumptionr=0.9532yrs408
Gasoline pumped in Bulgariar=0.9442yrs398
Average length of LockPickingLawyer YouTube videosr=0.978yrs396
AIG's stock price (AIG)r=0.9221yrs395
GMO use in cottonr=0.9523yrs394
The number of telemarketers in Californiar=0.9820yrs394
The number of conveyor operators in New Jerseyr=0.9920yrs394
The number of CEOs in Ohior=0.9820yrs394
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.9822yrs392
Lloyds Banking Group's stock price (LYG)r=0.921yrs392
US household spending on clothingr=0.9523yrs392
The distance between Neptune and Mercuryr=0.9548yrs388
Burglaries in Oregonr=0.9738yrs387
US birth rates of triplets or morer=0.9520yrs386
The distance between Neptune and Earthr=0.9448yrs386
The distance between Neptune and the moonr=0.9448yrs386
The marriage rate in Nevadar=0.9723yrs384
U.S. intercountry adoptionsr=0.9323yrs378
Google searches for 'panama canal'r=0.9419yrs378
Google searches for 'Panama Canal'r=0.9419yrs378
Burglaries in Colorador=0.9738yrs377
Popularity of the 'all your base' memer=0.9117yrs377
The divorce rate in Alabamar=0.9623yrs374
Kerosene used in United Statesr=0.9343yrs367
Arson in New Jerseyr=0.9638yrs366
The divorce rate in North Carolinar=0.9523yrs363
The number of file clerks in Arkansasr=0.9820yrs363
US average milk-fat content of frozen dairy productsr=0.9822yrs362
Burglaries in Idahor=0.9638yrs356
Kerosene used in Norwayr=0.9243yrs356
The distance between Neptune and the Sunr=0.9348yrs355
The number of sewing machine operators in Californiar=0.9820yrs353
The marriage rate in South Dakotar=0.9523yrs352
Portion of all US dairy skim-solids allocated to the production of frozen dairy productsr=0.9722yrs350
Burglaries in Arizonar=0.9638yrs346
Kerosene used in Uruguayr=0.9342yrs346
The number of postal service machine operators in Connecticutr=0.9820yrs343
Motor vehicle thefts in Massachusettsr=0.9638yrs336
Average number of milk cows in the United Statesr=0.8943yrs336
Petroluem consumption in Bulgariar=0.9242yrs334
The number of couriers and messengers in Indianar=0.9820yrs333
Robberies in Michiganr=0.9638yrs326
Kerosene used in Portugalr=0.9143yrs324
The number of postal service machine operators in Iowar=0.9820yrs323
US milk fat used to produce fluid beverage milkr=0.9322yrs318
Arson in Californiar=0.9538yrs314
The number of postal service machine operators in Kansasr=0.9820yrs313
Kerosene used in Boliviar=0.9142yrs313
The marriage rate in Virginiar=0.9523yrs312
Burglaries in Floridar=0.9538yrs304
The number of file clerks in Marylandr=0.9820yrs303
Kerosene used in Hong Kongr=0.9142yrs303
The divorce rate in Floridar=0.9423yrs302
Burglaries in Michiganr=0.9538yrs294
The number of file clerks in Massachusettsr=0.9820yrs293
Kerosene used in Romaniar=0.942yrs292
The divorce rate in Kentuckyr=0.9423yrs292
Burglaries in Nevadar=0.9538yrs284
The number of carpenters in Mississippir=0.9820yrs283
The marriage rate in Alabamar=0.9423yrs280
Petroluem consumption in Germanyr=0.9332yrs276
Burglaries in New Yorkr=0.9538yrs274
The number of postal service machine operators in Nebraskar=0.9820yrs273
The marriage rate in West Virginiar=0.9423yrs270
Gasoline pumped in Germanyr=0.9332yrs266
Burglaries in Oklahomar=0.9538yrs264
The number of telemarketers in New Jerseyr=0.9720yrs263
The divorce rate in Ohior=0.9323yrs260
Gasoline pumped in Latviar=0.9331yrs255
Burglaries in Virginiar=0.9538yrs254
The number of postal service machine operators in New Jerseyr=0.9820yrs253
The divorce rate in Tennesseer=0.9323yrs250
Burglaries in Californiar=0.9538yrs244
The number of data entry keyers in New Yorkr=0.9820yrs243
The divorce rate in Wyomingr=0.9323yrs240
Liquefied petroleum gas used in Greenlandr=0.9522yrs239
Motor vehicle thefts in Michiganr=0.9538yrs234
The number of postal service machine operators in North Dakotar=0.9820yrs233
The marriage rate in Tennesseer=0.9323yrs228
Robberies in Oregonr=0.9538yrs224
The number of postal service machine operators in Oregonr=0.9820yrs223
The divorce rate in Mississippir=0.9223yrs218
The number of postal service machine operators in Washingtonr=0.9820yrs213
The divorce rate in Oregonr=0.9223yrs208
The number of postal service machine operators in Wisconsinr=0.9820yrs203
The marriage rate in Kansasr=0.9223yrs197
The marriage rate in Louisianar=0.9223yrs187


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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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