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

VariableCorrelationYearsSys. Score
Kerosene used in Venezuelar=0.9742yrs432
Gasoline pumped in Somaliar=0.9642yrs430
Gasoline pumped in Bulgariar=0.9542yrs429
Carjackings in the USr=0.9727yrs426
US birth rates of triplets or morer=0.9820yrs420
Arson in New Yorkr=0.9838yrs418
Physical album shipment volume in the United Statesr=0.9824yrs417
Average number of milk cows in the United Statesr=0.943yrs417
Burglaries in New Yorkr=0.9738yrs417
The marriage rate in Nevadar=0.9823yrs416
The divorce rate in Tennesseer=0.9723yrs416
The marriage rate in Arkansasr=0.9723yrs414
United States music album salesr=0.9816yrs409
Google searches for 'desktop background'r=0.9716yrs409
Viewership count for Days of Our Livesr=0.9147yrs404
Air pollution in Los Angelesr=0.9743yrs400
Air pollution in Los Angelesr=0.9643yrs399
Air pollution in San Diego, Californiar=0.9843yrs399
The number of telemarketers in Californiar=0.9920yrs396
Remaining Forest Cover in the Brazilian Amazonr=0.9136yrs394
The number of bill collectors in Marylandr=0.9820yrs394
The number of postal service machine operators in Nebraskar=0.9920yrs394
US household spending on clothingr=0.9723yrs394
US household spending on clothing for menr=0.9623yrs393
US household spending on clothin for womenr=0.9623yrs393
US household spending on booksr=0.9623yrs393
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
Burglaries in Californiar=0.9638yrs386
The distance between Neptune and Mercuryr=0.9448yrs386
The distance between Neptune and the Sunr=0.9348yrs385
The distance between Neptune and Earthr=0.9348yrs385
Associates degrees awarded in Business operationsr=0.9711yrs384
The marriage rate in Tennesseer=0.9723yrs384
Associates degrees awarded in Accountingr=0.9611yrs382
Google searches for 'report UFO sighting'r=0.9219yrs380
Burglaries in Colorador=0.9638yrs376
The marriage rate in Wyomingr=0.9723yrs374
Air pollution in San Diego, Californiar=0.9743yrs368
Kerosene used in Argentinar=0.9442yrs368
Robberies in Oregonr=0.9638yrs366
The divorce rate in Alabamar=0.9623yrs364
The number of telemarketers in New Yorkr=0.9820yrs364
Gasoline pumped in Cubar=0.9442yrs358
Portion of all US dairy skim-solids allocated to the production of frozen dairy productsr=0.9522yrs358
The distance between Neptune and the moonr=0.9348yrs355
The divorce rate in North Carolinar=0.9623yrs354
Burglaries in Connecticutr=0.9538yrs354
The number of postal service machine operators in North Dakotar=0.9920yrs354
Air pollution in Oxnard, Californiar=0.9641yrs354
Kerosene used in Cubar=0.9442yrs348
The marriage rate in Idahor=0.9623yrs343
The number of switchboard operators in Alabamar=0.9820yrs343
Petroluem consumption in Romaniar=0.9442yrs338
The marriage rate in South Dakotar=0.9623yrs333
The number of meter readers, utilities in Alabamar=0.9820yrs333
Burglary rates in the USr=0.9238yrs330
Kerosene used in Turkiyer=0.9443yrs328
The number of file clerks in Arkansasr=0.9820yrs323
The marriage rate in Ohior=0.9523yrs322
Arson in United Statesr=0.938yrs316
Kerosene used in Brazilr=0.9342yrs316
The number of prepress technicians and workers in Arkansasr=0.9820yrs313
Petroluem consumption in Bulgariar=0.9342yrs306
The number of sewing machine operators in Californiar=0.9820yrs303
Kerosene used in Egyptr=0.9342yrs296
Burglaries in Oregonr=0.9538yrs294
The number of postal service machine operators in Connecticutr=0.9820yrs293
Kerosene used in Mexicor=0.9440yrs286
Burglaries in Texasr=0.9538yrs284
The number of postal service machine operators in Iowar=0.9820yrs283
The marriage rate in South Carolinar=0.9523yrs282
Kerosene used in Thailandr=0.9342yrs276
Motor vehicle thefts in Massachusettsr=0.9538yrs274
The number of file clerks in Massachusettsr=0.9820yrs273
The marriage rate in Virginiar=0.9523yrs272
Kerosene used in Ecuadorr=0.9242yrs264
The number of computer programmers in Michiganr=0.9720yrs263
The divorce rate in Wyomingr=0.9423yrs262
Burglaries in Rhode Islandr=0.9438yrs262
Gasoline pumped in Francer=0.9143yrs254
The number of telemarketers in New Jerseyr=0.9720yrs253
Burglaries in Floridar=0.9338yrs251
The marriage rate in Alabamar=0.9423yrs250
The number of switchboard operators in New Jerseyr=0.9820yrs243
Kerosene used in Uruguayr=0.942yrs242
Burglaries in Oklahomar=0.9338yrs241
The marriage rate in Kansasr=0.9423yrs240
The number of typists in New Jerseyr=0.9820yrs233
Burglaries in Washingtonr=0.9338yrs231
The divorce rate in Kentuckyr=0.9323yrs230
Jet fuel used in Ukrainer=0.9430yrs226
The number of conveyor operators in New Jerseyr=0.9820yrs223
Motor vehicle thefts in Oklahomar=0.9338yrs221
The divorce rate in New Hampshirer=0.9323yrs220
Petroluem consumption in Ukrainer=0.9330yrs214
The number of data entry keyers in New Yorkr=0.9820yrs213
Robberies in New Yorkr=0.9338yrs211
The number of file clerks in Ohior=0.9820yrs203
Petroluem consumption in Azerbaijanr=0.9130yrs201
Petroluem consumption in Belarusr=0.9130yrs191


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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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