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

VariableCorrelationYearsHas img?
The marriage rate in Tennesseer=0.9923yrsNo
Carjackings in the USr=0.9827yrsNo
Air pollution in San Diego, Californiar=0.9743yrsNo
Per capita consumption of margariner=0.9610yrsNo
Average number of milk cows in the United Statesr=0.9243yrsNo
Viewership count for Days of Our Livesr=0.9247yrsNo



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

VariableCorrelationYearsSys. Score
Kerosene used in Venezuelar=0.9742yrs432
Gasoline pumped in Bulgariar=0.9642yrs430
Gasoline pumped in Somaliar=0.9642yrs430
Arson in New Yorkr=0.9838yrs418
Burglaries in New Yorkr=0.9738yrs417
Physical album shipment volume in the United Statesr=0.9624yrs414
The marriage rate in Nevadar=0.9723yrs414
The marriage rate in Ohior=0.9723yrs414
Google searches for 'panama canal'r=0.9719yrs412
Google searches for 'learn spanish'r=0.9719yrs412
Google searches for 'Panama Canal'r=0.9719yrs412
United States music album salesr=0.9616yrs406
Air pollution in Los Angelesr=0.9743yrs400
Air pollution in Los Angelesr=0.9543yrs398
Remaining Forest Cover in the Brazilian Amazonr=0.9236yrs396
US household spending on booksr=0.9823yrs396
The number of typists in Floridar=0.9920yrs394
The number of typists in Iowar=0.9920yrs394
The number of file clerks in Marylandr=0.9920yrs394
The distance between Neptune and Mercuryr=0.9548yrs388
Average views of SciShow Space YouTube videosr=0.989yrs388
Burglaries in Colorador=0.9738yrs387
The distance between Neptune and the Sunr=0.9348yrs385
The distance between Neptune and Earthr=0.9348yrs385
The divorce rate in Tennesseer=0.9623yrs384
US birth rates of triplets or morer=0.9420yrs384
Master's degrees awarded in Architecturer=0.9710yrs384
Bachelor's degrees awarded in Theology and religious vocationsr=0.9610yrs383
Google searches for 'black holes'r=0.9619yrs380
Robberies in Oregonr=0.9738yrs377
The marriage rate in Arizonar=0.9623yrs373
Petroluem consumption in Bulgariar=0.9442yrs368
Burglaries in Californiar=0.9638yrs366
Air pollution in Oxnard, Californiar=0.9741yrs366
The number of prepress technicians and workers in New Yorkr=0.9920yrs364
The marriage rate in South Carolinar=0.9623yrs363
Gasoline pumped in Cubar=0.9442yrs358
Air pollution in San Diego, Californiar=0.9643yrs356
The distance between Neptune and the moonr=0.9348yrs355
Burglaries in Oregonr=0.9538yrs354
The number of CEOs in Ohior=0.9820yrs354
The marriage rate in Arkansasr=0.9523yrs352
Kerosene used in Cubar=0.9442yrs348
The number of compensation and benefits managers in Indianar=0.9919yrs344
Kerosene used in Ecuadorr=0.9442yrs338
Google searches for 'snoop dog'r=0.9419yrs338
The number of telemarketers in Californiar=0.9720yrs333
Burglary rates in the USr=0.9138yrs328
Kerosene used in Turkiyer=0.9443yrs328
The number of data entry keyers in Californiar=0.9820yrs323
Kerosene used in Mexicor=0.9540yrs317
Arson in United Statesr=0.938yrs316
The number of telemarketers in Illinoisr=0.9720yrs313
The divorce rate in Alabamar=0.9423yrs312
Kerosene used in Argentinar=0.9342yrs306
The number of switchboard operators in Michiganr=0.9820yrs303
The marriage rate in South Dakotar=0.9423yrs300
Petroluem consumption in Romaniar=0.9342yrs296
Burglaries in Connecticutr=0.9538yrs294
The number of prepress technicians and workers in North Carolinar=0.9820yrs293
The marriage rate in Virginiar=0.9423yrs290
Kerosene used in Thailandr=0.9342yrs286
The number of typists in Ohior=0.9820yrs283
Burglaries in Rhode Islandr=0.9438yrs282
The marriage rate in Idahor=0.9323yrs278
Kerosene used in Brazilr=0.9242yrs274
The number of data entry keyers in Alabamar=0.9720yrs272
Burglaries in Texasr=0.9438yrs272
The marriage rate in Kentuckyr=0.9323yrs268
Kerosene used in Egyptr=0.9242yrs264
The number of brickmasons in Alabamar=0.9720yrs262
Motor vehicle thefts in Massachusettsr=0.9438yrs262
The marriage rate in Wyomingr=0.9323yrs258
Gasoline pumped in Francer=0.9143yrs254
The number of sewing machine operators in Californiar=0.9720yrs252
Motor vehicle thefts in Oklahomar=0.9438yrs252
The marriage rate in Missourir=0.9223yrs247
Kerosene used in Uruguayr=0.9142yrs243
The number of prepress technicians and workers in Colorador=0.9720yrs242
Arson in Colorador=0.9338yrs241
The marriage rate in Wisconsinr=0.9223yrs237
The number of postal service machine operators in Connecticutr=0.9720yrs232
Kerosene used in Hong Kongr=0.942yrs232
Burglaries in Oklahomar=0.9338yrs231
The divorce rate in North Carolinar=0.9123yrs227
The number of file clerks in Georgiar=0.9720yrs222
Burglaries in Washingtonr=0.9338yrs221
Jet fuel used in Ukrainer=0.9330yrs214
The number of switchboard operators in Indianar=0.9720yrs212
Burglaries in Floridar=0.9238yrs210
The number of couriers and messengers in Indianar=0.9720yrs202
Petroluem consumption in Azerbaijanr=0.9230yrs202
Burglaries in Montanar=0.9238yrs200
Petroluem consumption in Ukrainer=0.9130yrs191
Burglaries in New Mexicor=0.9238yrs190


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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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