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

VariableCorrelationYearsHas img?
Arson in United Statesr=0.9638yrsNo
Google searches for 'black holes'r=0.9519yrsNo
Air pollution in New York Cityr=0.9343yrsNo
Milk consumptionr=0.9332yrsNo
Air pollution in Washington, D.C.r=0.9243yrsNo
Air pollution in Chicagor=0.8243yrsNo


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

VariableCorrelationYearsSys. Score
Viewership count for Days of Our Livesr=0.9547yrs440
Remaining Forest Cover in the Brazilian Amazonr=0.9836yrs435
Gasoline pumped in Francer=0.9643yrs432
Kerosene used in Thailandr=0.9542yrs429
The distance between Neptune and the Sunr=0.9848yrs422
The distance between Neptune and Earthr=0.9848yrs422
The distance between Neptune and Mercuryr=0.9848yrs422
Petroluem consumption in Germanyr=0.9632yrs420
The marriage rate in Tennesseer=0.9923yrs418
Arson in New Jerseyr=0.9738yrs417
Motor vehicle thefts in Michiganr=0.9738yrs417
Physical album shipment volume in the United Statesr=0.9724yrs416
The divorce rate in Tennesseer=0.9723yrs416
The marriage rate in Arkansasr=0.9723yrs414
Google searches for 'panama canal'r=0.9719yrs412
Google searches for 'learn spanish'r=0.9619yrs410
Google searches for 'Panama Canal'r=0.9619yrs410
United States music album salesr=0.9816yrs409
Patents granted to Toshibar=0.9612yrs402
US household spending on booksr=0.9823yrs396
Air pollution in Oxnard, Californiar=0.9643yrs396
The number of telemarketers in Californiar=0.9820yrs394
The number of typists in Floridar=0.9920yrs394
The number of switchboard operators in Indianar=0.9920yrs394
US household spending on clothing for menr=0.9623yrs393
The distance between Neptune and the moonr=0.9848yrs392
US household spending on clothingr=0.9523yrs392
Gasoline pumped in Germanyr=0.9632yrs390
US average milk-fat content of frozen dairy productsr=0.9522yrs388
US birth rates of triplets or morer=0.9520yrs386
Motor vehicle thefts in Mainer=0.9638yrs386
The marriage rate in Nevadar=0.9723yrs384
Bachelor's degrees awarded in Theology and religious vocationsr=0.9610yrs383
Associates degrees awarded in Business operationsr=0.9611yrs382
Associates degrees awarded in Businessr=0.9511yrs381
Per capita consumption of margariner=0.9810yrs380
Google searches for 'report UFO sighting'r=0.919yrs378
The wind speed in Austinr=0.9339yrs376
Motor vehicle thefts in Massachusettsr=0.9638yrs376
GMO use in corn grown in Texasr=0.9618yrs374
The marriage rate in Ohior=0.9723yrs374
The marriage rate in South Carolinar=0.9723yrs364
Burglaries in Idahor=0.9538yrs364
The number of file clerks in Marylandr=0.9920yrs364
Kerosene used in Perur=0.9542yrs359
Burglaries in Arizonar=0.9538yrs354
The number of CEOs in Ohior=0.9820yrs354
The marriage rate in South Dakotar=0.9623yrs353
Kerosene used in Brazilr=0.9442yrs348
The number of compensation and benefits managers in Missourir=0.9919yrs344
Google searches for 'snoop dog'r=0.9319yrs336
Kerosene used in Egyptr=0.9342yrs336
The number of data entry keyers in Californiar=0.9820yrs333
Burglary rates in the USr=0.9338yrs331
Kerosene used globallyr=0.9242yrs324
The number of sewing machine operators in Californiar=0.9820yrs323
Kerosene used in Argentinar=0.9242yrs314
The divorce rate in Alabamar=0.9523yrs313
The number of typists in Iowar=0.9820yrs313
Arson in Californiar=0.9538yrs304
Kerosene used in United Statesr=0.9143yrs304
The number of file clerks in Minnesotar=0.9820yrs303
The marriage rate in Arizonar=0.9523yrs302
Arson in Texasr=0.9538yrs294
The number of maintenance workers, machinery in New Jerseyr=0.9820yrs293
Gasoline pumped in Bulgariar=0.9142yrs293
The marriage rate in Virginiar=0.9523yrs292
Burglaries in Floridar=0.9538yrs284
The number of brokerage clerks in New Yorkr=0.9820yrs283
Gasoline pumped in Cubar=0.942yrs282
The marriage rate in Idahor=0.9423yrs280
Motor vehicle thefts in Illinoisr=0.9538yrs274
The number of data entry keyers in New Yorkr=0.9820yrs273
Kerosene used in Cubar=0.942yrs272
The marriage rate in Wyomingr=0.9423yrs270
The number of prepress technicians and workers in New Yorkr=0.9820yrs263
Arson in Nevadar=0.9438yrs262
The divorce rate in North Carolinar=0.9323yrs260
The number of typists in Ohior=0.9820yrs253
Arson in Oklahomar=0.9438yrs252
The marriage rate in Kentuckyr=0.9323yrs248
The number of CEOs in South Carolinar=0.9720yrs243
Burglaries in Hawaiir=0.9438yrs242
The marriage rate in Wisconsinr=0.9323yrs238
The number of switchboard operators in Tennesseer=0.9820yrs233
Burglaries in Illinoisr=0.9438yrs232
The divorce rate in Ohior=0.9223yrs228
Burglaries in Marylandr=0.9438yrs222
The number of data entry keyers in Alabamar=0.9720yrs222
The marriage rate in Alabamar=0.9223yrs217
Burglaries in Minnesotar=0.9438yrs212
The number of prepress technicians and workers in Colorador=0.9720yrs212
The marriage rate in Kansasr=0.9223yrs207
Burglaries in New Mexicor=0.9438yrs202
The number of postal service machine operators in Connecticutr=0.9720yrs202
The marriage rate in Missourir=0.9223yrs197
Burglaries in Virginiar=0.9438yrs192
The marriage rate in Texasr=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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