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

VariableCorrelationYearsHas img?
Remaining Forest Cover in the Brazilian Amazonr=0.9736yrsNo


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

VariableCorrelationYearsSys. Score
Arson in United Statesr=0.9638yrs436
Burglary rates in the USr=0.9638yrs436
Kerosene used in Turkiyer=0.9643yrs432
Kerosene used in Mexicor=0.9740yrs430
Burglaries in New Yorkr=0.9938yrs420
US birth rates of triplets or morer=0.9620yrs418
Physical album shipment volume in the United Statesr=0.9924yrs418
Average number of milk cows in the United Statesr=0.9143yrs418
The marriage rate in Idahor=0.9923yrs418
The marriage rate in Nevadar=0.9823yrs416
The marriage rate in Wyomingr=0.9823yrs416
Google searches for 'learn spanish'r=0.9619yrs410
Google searches for 'panama canal'r=0.9519yrs409
United States music album salesr=0.9716yrs408
Gasoline pumped in Bulgariar=0.9542yrs399
Average length of LockPickingLawyer YouTube videosr=0.978yrs396
AIG's stock price (AIG)r=0.9121yrs394
Lloyds Banking Group's stock price (LYG)r=0.9121yrs394
The number of telemarketers in Californiar=0.9820yrs394
Air pollution in Oxnard, Californiar=0.9641yrs394
The number of sewing machine operators in Californiar=0.9820yrs393
The number of postal service machine operators in Connecticutr=0.9820yrs393
US household spending on clothingr=0.9623yrs393
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.9822yrs392
US household spending on clothing for menr=0.9523yrs392
US household spending on clothin for womenr=0.9523yrs392
Portion of all US dairy skim-solids allocated to the production of frozen dairy productsr=0.9722yrs390
The distance between Neptune and Mercuryr=0.9548yrs388
Burglaries in Californiar=0.9838yrs388
Bachelor's degrees awarded in Theology and religious vocationsr=0.9810yrs386
The distance between Neptune and Earthr=0.9448yrs386
The distance between Neptune and the moonr=0.9448yrs386
The divorce rate in Alabamar=0.9723yrs386
Google searches for 'Panama Canal'r=0.9519yrs379
Burglaries in Connecticutr=0.9838yrs378
The marriage rate in Arkansasr=0.9723yrs374
Motor vehicle thefts in Massachusettsr=0.9838yrs368
Kerosene used in Uruguayr=0.9442yrs368
The marriage rate in South Dakotar=0.9723yrs364
The number of postal service machine operators in Kansasr=0.9820yrs363
US average milk-fat content of frozen dairy productsr=0.9722yrs360
Arson in New Yorkr=0.9738yrs357
Petroluem consumption in Bulgariar=0.9342yrs356
The distance between Neptune and the Sunr=0.9348yrs355
The marriage rate in Virginiar=0.9723yrs354
The number of CEOs in Kentuckyr=0.9720yrs353
Google searches for 'snoop dog'r=0.9519yrs349
Burglaries in Colorador=0.9738yrs347
Kerosene used in Venezuelar=0.9342yrs346
The divorce rate in North Carolinar=0.9623yrs344
The number of file clerks in Massachusettsr=0.9820yrs343
US milk fat used to produce fluid beverage milkr=0.9322yrs338
Robberies in Oregonr=0.9738yrs337
Kerosene used in Portugalr=0.9143yrs334
The number of postal service machine operators in Nebraskar=0.9820yrs333
Arson in Californiar=0.9638yrs326
The number of telemarketers in New Jerseyr=0.9720yrs323
Kerosene used in Cubar=0.9142yrs323
Burglaries in Floridar=0.9638yrs316
The number of postal service machine operators in New Jerseyr=0.9820yrs313
Kerosene used in Ecuadorr=0.9142yrs313
Burglaries in Minnesotar=0.9638yrs306
The divorce rate in Tennesseer=0.9523yrs303
The number of conveyor operators in New Jerseyr=0.9820yrs303
Kerosene used in Hong Kongr=0.9142yrs303
Burglaries in New Jerseyr=0.9638yrs296
The number of data entry keyers in New Yorkr=0.9820yrs293
Petroluem consumption in Romaniar=0.9142yrs293
Carjackings in the USr=0.9427yrs292
The marriage rate in Alabamar=0.9523yrs292
Burglaries in Oregonr=0.9638yrs286
The number of postal service machine operators in North Dakotar=0.9820yrs283
Kerosene used in Thailandr=0.9142yrs283
The marriage rate in Tennesseer=0.9523yrs282
Burglaries in Rhode Islandr=0.9638yrs276
The number of CEOs in Ohior=0.9720yrs273
Kerosene used in Argentinar=0.942yrs272
The divorce rate in Kentuckyr=0.9423yrs272
Burglaries in Virginiar=0.9638yrs266
The number of typists in Ohior=0.9820yrs263
Kerosene used in Boliviar=0.942yrs262
The divorce rate in Wyomingr=0.9423yrs262
Robberies in Michiganr=0.9638yrs256
The number of boiler operators in Ohior=0.9820yrs253
Gasoline pumped in Cubar=0.942yrs252
The marriage rate in Kentuckyr=0.9423yrs250
Arson in Colorador=0.9538yrs244
The number of computer programmers in Tennesseer=0.9720yrs243
Gasoline pumped in Somaliar=0.942yrs242
The divorce rate in Floridar=0.9323yrs240
Burglaries in New Mexicor=0.9538yrs234
The number of postal service machine operators in Washingtonr=0.9820yrs233
The marriage rate in Arizonar=0.9323yrs228
Burglaries in Oklahomar=0.9538yrs224
The number of meter readers, utilities in Alabamar=0.9720yrs222
Gasoline pumped in Germanyr=0.932yrs222
The number of file clerks in Arkansasr=0.9720yrs212
Jet fuel used in Ukrainer=0.9230yrs212
The number of sewing machine operators in Arkansasr=0.9720yrs202
Petroluem consumption in Uzbekistanr=0.9230yrs202


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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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