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

VariableCorrelationYearsHas img?
Kerosene used in Venezuelar=0.9742yrsNo
Milk consumptionr=0.8332yrsNo


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

VariableCorrelationYearsSys. Score
Gasoline pumped in Bulgariar=0.9642yrs430
Gasoline pumped in Somaliar=0.9642yrs430
Carjackings in the USr=0.9627yrs424
Average number of milk cows in the United Statesr=0.9143yrs418
Arson in New Yorkr=0.9738yrs417
Burglaries in New Yorkr=0.9738yrs417
The marriage rate in Tennesseer=0.9823yrs416
Physical album shipment volume in the United Statesr=0.9624yrs414
The marriage rate in Nevadar=0.9723yrs414
The marriage rate in South Carolinar=0.9623yrs413
Google searches for 'Panama Canal'r=0.9719yrs412
Google searches for 'panama canal'r=0.9619yrs410
Viewership count for Days of Our Livesr=0.947yrs402
Air pollution in Los Angelesr=0.9643yrs399
Remaining Forest Cover in the Brazilian Amazonr=0.9336yrs398
Air pollution in Los Angelesr=0.9543yrs398
Air pollution in San Diego, Californiar=0.9643yrs396
US household spending on booksr=0.9623yrs393
The number of data entry keyers in Californiar=0.9720yrs392
The number of locker room attendants in Indianar=0.9819yrs392
The number of sewing machine operators in Kentuckyr=0.9720yrs392
Burglaries in Colorador=0.9738yrs387
The distance between Neptune and the Sunr=0.9348yrs385
The distance between Neptune and Earthr=0.9348yrs385
The distance between Neptune and Mercuryr=0.9348yrs385
The marriage rate in Ohior=0.9523yrs382
Robberies in Oregonr=0.9738yrs377
Google searches for 'learn spanish'r=0.9319yrs376
Ticket sales for Arizona Diamondbacks gamesr=0.9122yrs376
Total annual sales of Ford Motors in the United Statesr=0.9223yrs374
The wind speed in Nashviller=0.9239yrs374
The wind speed in Austinr=0.9139yrs373
Kerosene used in Argentinar=0.9442yrs368
Burglaries in Oregonr=0.9638yrs366
Air pollution in San Diego, Californiar=0.9643yrs366
Customer satisfaction with Verizonr=0.8728yrs366
The number of sheet metal workers in Californiar=0.9620yrs360
Gasoline pumped in Cubar=0.9442yrs358
Burglaries in Californiar=0.9638yrs356
The distance between Neptune and the moonr=0.9348yrs355
Air pollution in Oxnard, Californiar=0.9641yrs354
The number of switchboard operators in Floridar=0.9620yrs350
Kerosene used in Cubar=0.9442yrs348
Burglaries in Connecticutr=0.9538yrs344
Google searches for 'black holes'r=0.9219yrs344
The divorce rate in Tennesseer=0.9423yrs342
The number of file clerks in Indianar=0.9620yrs340
Petroluem consumption in Romaniar=0.9442yrs338
Motor vehicle thefts in Massachusettsr=0.9538yrs334
Google searches for 'snoop dog'r=0.9119yrs333
The number of typists in Iowar=0.9620yrs330
The marriage rate in Arkansasr=0.9423yrs330
Kerosene used in Thailandr=0.9442yrs328
The number of advertising and promotions managers in Louisianar=0.9620yrs320
The marriage rate in Virginiar=0.9423yrs320
Kerosene used in Turkiyer=0.9443yrs318
Air pollution in New York Cityr=0.9243yrs313
Burglary rates in the USr=0.9238yrs310
The number of typists in Mainer=0.9620yrs310
The divorce rate in Alabamar=0.9323yrs310
Kerosene used in Brazilr=0.9342yrs306
Air pollution in Riverside, Californiar=0.9443yrs303
The number of file clerks in Marylandr=0.9620yrs300
Arson in United Statesr=0.9138yrs298
The marriage rate in Arizonar=0.9323yrs298
Petroluem consumption in Bulgariar=0.9342yrs296
Air pollution in Oxnard, Californiar=0.9343yrs292
The number of switchboard operators in Michiganr=0.9620yrs290
The marriage rate in Idahor=0.9323yrs288
Kerosene used in Ecuadorr=0.9342yrs286
The number of prepress technicians and workers in New Yorkr=0.9620yrs280
The marriage rate in Wyomingr=0.9323yrs278
Kerosene used in Egyptr=0.9342yrs276
Burglaries in Oklahomar=0.9438yrs272
The number of furniture finishers in New Yorkr=0.9620yrs270
The marriage rate in South Dakotar=0.9223yrs267
Gasoline pumped in Francer=0.9243yrs266
Burglaries in Rhode Islandr=0.9438yrs262
The number of prepress technicians and workers in North Carolinar=0.9620yrs260
The marriage rate in Wisconsinr=0.9223yrs257
Kerosene used in Mexicor=0.9440yrs256
Burglaries in Texasr=0.9438yrs252
The number of prepress technicians and workers in Ohior=0.9620yrs250
The marriage rate in Alabamar=0.923yrs244
Kerosene used in Uruguayr=0.9142yrs243
Burglaries in Washingtonr=0.9438yrs242
The number of telephone operators in Floridar=0.9619yrs239
The marriage rate in Kentuckyr=0.923yrs234
Motor vehicle thefts in Oklahomar=0.9438yrs232
The number of file clerks in Georgiar=0.9520yrs228
Jet fuel used in Ukrainer=0.9330yrs224
Arson in Colorador=0.9338yrs221
The number of sewing machine operators in Hawaiir=0.9520yrs218
Burglaries in Floridar=0.9338yrs211
Petroluem consumption in Uzbekistanr=0.9130yrs211
The number of typists in Michiganr=0.9520yrs208
Burglaries in Montanar=0.9338yrs201
The number of automotive body repairers in Michiganr=0.9520yrs198
Liquefied petroleum gas used in Greenlandr=0.922yrs192
Burglaries in New Mexicor=0.9338yrs191


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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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