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

VariableCorrelationYearsHas img?
Remaining Forest Cover in the Brazilian Amazonr=0.9536yrsNo


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

VariableCorrelationYearsSys. Score
Kerosene used in Argentinar=0.9642yrs430
Kerosene used in Egyptr=0.9642yrs430
Kerosene used in Thailandr=0.9642yrs430
Carjackings in the USr=0.9727yrs426
Burglaries in New Yorkr=0.9938yrs420
US birth rates of triplets or morer=0.9720yrs419
Physical album shipment volume in the United Statesr=0.9924yrs418
The marriage rate in Nevadar=0.9923yrs418
Arson in New Yorkr=0.9838yrs418
The marriage rate in Arkansasr=0.9823yrs416
The marriage rate in Tennesseer=0.9823yrs416
Google searches for 'learn spanish'r=0.9719yrs412
United States music album salesr=0.9816yrs409
Google searches for 'panama canal'r=0.9519yrs409
Google searches for 'desktop background'r=0.9716yrs409
Patents granted to Toshibar=0.9612yrs402
Kerosene used in Cubar=0.9542yrs399
Air pollution in Los Angelesr=0.9543yrs398
Air pollution in Los Angelesr=0.9543yrs398
The number of telemarketers in Californiar=0.9920yrs396
US household spending on booksr=0.9823yrs396
Air pollution in San Diego, Californiar=0.9643yrs396
The number of typists in Floridar=0.9920yrs394
The number of switchboard operators in Indianar=0.9920yrs394
US household spending on clothingr=0.9623yrs393
US household spending on clothing for menr=0.9623yrs393
US average milk-fat content of frozen dairy productsr=0.9822yrs392
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.9722yrs390
Portion of all US dairy skim-solids allocated to the production of frozen dairy productsr=0.9622yrs389
Kerosene used in Venezuelar=0.9542yrs389
Burglaries in Californiar=0.9838yrs388
The divorce rate in Alabamar=0.9723yrs386
Associates degrees awarded in Businessr=0.9711yrs384
Master's degrees awarded in gender studiesr=0.9710yrs384
Master's degrees awarded in linguisticsr=0.9710yrs384
The distance between Neptune and the Sunr=0.9148yrs382
The distance between Neptune and Earthr=0.9148yrs382
The distance between Neptune and Mercuryr=0.9148yrs382
Google searches for 'report UFO sighting'r=0.9219yrs380
Google searches for 'black holes'r=0.9519yrs379
Burglaries in Colorador=0.9738yrs377
The divorce rate in Tennesseer=0.9723yrs376
Burglaries in Connecticutr=0.9738yrs367
The marriage rate in Idahor=0.9723yrs364
The number of typists in Iowar=0.9920yrs364
Motor vehicle thefts in Massachusettsr=0.9738yrs357
The marriage rate in South Dakotar=0.9723yrs354
Gasoline pumped in Kosovor=0.9714yrs354
The number of brokerage clerks in New Yorkr=0.9920yrs354
Bachelor's degrees awarded in Theology and religious vocationsr=0.9610yrs353
The distance between Neptune and the moonr=0.9148yrs352
Average number of milk cows in the United Statesr=0.8543yrs350
Robberies in Oregonr=0.9738yrs347
The number of CEOs in Ohior=0.9820yrs344
The marriage rate in Ohior=0.9623yrs343
Associates degrees awarded in Accountingr=0.9611yrs342
Gasoline pumped in Cubar=0.9542yrs339
Burglaries in Oregonr=0.9638yrs336
The number of typists in Ohior=0.9920yrs334
The marriage rate in South Carolinar=0.9623yrs333
Associates degrees awarded in Business operationsr=0.9611yrs332
Gasoline pumped in Francer=0.9443yrs328
The number of compensation and benefits managers in Indianar=0.9919yrs324
Burglaries in Rhode Islandr=0.9538yrs324
The marriage rate in Virginiar=0.9623yrs323
Kerosene used in Pakistanr=0.9442yrs318
The number of compensation and benefits managers in Missourir=0.9919yrs314
The marriage rate in Wyomingr=0.9623yrs313
Kerosene used in Brazilr=0.9342yrs306
The number of meter readers, utilities in Alabamar=0.9820yrs303
The divorce rate in North Carolinar=0.9523yrs303
Arson in United Statesr=0.9438yrs302
Gasoline pumped in Bulgariar=0.9342yrs296
The number of sewing machine operators in Californiar=0.9820yrs293
Burglary rates in the USr=0.9438yrs292
Gasoline pumped in Somaliar=0.9342yrs286
The number of postal service machine operators in Connecticutr=0.9820yrs283
The number of couriers and messengers in Indianar=0.9820yrs273
Petroluem consumption in Romaniar=0.9142yrs273
Arson in Colorador=0.9538yrs264
The number of postal service machine operators in Iowar=0.9820yrs263
The marriage rate in Alabamar=0.9523yrs262
Burglaries in Floridar=0.9538yrs254
The number of CEOs in Kentuckyr=0.9720yrs253
Jet fuel used in Ukrainer=0.9230yrs252
The marriage rate in Arizonar=0.9423yrs250
Burglaries in Texasr=0.9538yrs244
The number of file clerks in Marylandr=0.9820yrs243
Petroluem consumption in Uzbekistanr=0.9230yrs242
The marriage rate in Kentuckyr=0.9423yrs240
Robberies in Michiganr=0.9538yrs234
The number of postal service machine operators in Minnesotar=0.9820yrs233
The divorce rate in Ohior=0.9323yrs230
Robberies in New Yorkr=0.9538yrs224
The number of telemarketers in New Jerseyr=0.9720yrs223
The number of switchboard operators in New Jerseyr=0.9820yrs213
Arson in Californiar=0.9438yrs212
The number of postal service machine operators in New Jerseyr=0.9820yrs203
Burglaries in Minnesotar=0.9438yrs202
Burglaries in Montanar=0.9438yrs192


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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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