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

VariableCorrelationYearsSys. Score
Remaining Forest Cover in the Brazilian Amazonr=0.9736yrs434
Arson in United Statesr=0.9538yrs434
Robberies in the USr=0.9538yrs434
Kerosene used in Argentinar=0.9542yrs429
Violent crime ratesr=0.9438yrs422
The divorce rate in Tennesseer=0.9623yrs414
The marriage rate in Nevadar=0.9623yrs413
The wind speed in Austinr=0.9639yrs410
Viewership count for Days of Our Livesr=0.9147yrs404
Gasoline pumped in Francer=0.9543yrs400
Gasoline pumped in Austriar=0.9443yrs398
US household spending on clothingr=0.9623yrs393
US average milk-fat content of frozen dairy productsr=0.9722yrs390
The number of travel agents in Connecticutr=0.9620yrs390
Motor vehicle thefts in New Jerseyr=0.9838yrs388
The distance between Neptune and Earthr=0.9548yrs388
The distance between Neptune and the moonr=0.9548yrs388
The number of typists in Alabamar=0.9520yrs388
The number of data entry keyers in Mississippir=0.9520yrs388
The distance between Neptune and the Sunr=0.9448yrs386
US birth rates of triplets or morer=0.9320yrs383
The divorce rate in Alabamar=0.9423yrs382
Physical album shipment volume in the United Statesr=0.9424yrs381
Google searches for 'oprah winfrey'r=0.9419yrs378
The wind speed in San Diegor=0.9439yrs378
Burglaries in Connecticutr=0.9738yrs377
Frozen yogurt consumptionr=0.9332yrs375
Google searches for 'shook'r=0.9119yrs373
Cigarette Smoking Rate for US adultsr=0.921yrs372
NASA's budget as a percentage of the total US Federal Budgetr=0.8848yrs372
Kerosene used in Thailandr=0.9442yrs368
Burglaries in District of Columbiar=0.9738yrs367
Customer satisfaction with Frontier Communicationsr=0.8528yrs363
Air pollution in Oxnard, Californiar=0.9443yrs363
Air pollution in San Diego, Californiar=0.9443yrs363
US household spending on clothin for womenr=0.9523yrs362
Air pollution in Los Angelesr=0.9143yrs362
US household spending on clothing for menr=0.9423yrs360
The number of data entry keyers in New Yorkr=0.9520yrs358
Portion of all US dairy skim-solids allocated to the production of frozen dairy productsr=0.9522yrs358
Arson in Texasr=0.9638yrs356
The distance between Neptune and Mercuryr=0.9448yrs356
Kerosene used in Cubar=0.9242yrs354
The divorce rate in New Hampshirer=0.9423yrs352
The number of millwrights in Wisconsinr=0.9520yrs348
Burglaries in Kansasr=0.9638yrs346
Kerosene used in Egyptr=0.9242yrs344
The marriage rate in Arkansasr=0.9423yrs340
Motor vehicle thefts in Massachusettsr=0.9638yrs336
Kerosene used in Uruguayr=0.9242yrs334
The number of tax examiners and collectors, and revenue agents in New Jerseyr=0.9513yrs332
The marriage rate in Idahor=0.9423yrs330
Air pollution in Santa Maria, Californiar=0.9243yrs330
Motor vehicle thefts in New Yorkr=0.9638yrs326
Gasoline pumped in Cubar=0.942yrs322
The marriage rate in Kentuckyr=0.9423yrs320
Air pollution in Oxnard, Californiar=0.9241yrs318
Motor vehicle thefts in Texasr=0.9638yrs316
Kerosene used in Pakistanr=0.942yrs312
The marriage rate in Ohior=0.9423yrs310
Motor vehicle thefts in Texasr=0.9638yrs306
The marriage rate in South Carolinar=0.9423yrs300
The number of telemarketers in Californiar=0.9420yrs298
Motor vehicle thefts in Texasr=0.9638yrs296
Carjackings in the USr=0.9527yrs293
Gasoline pumped in Germanyr=0.9132yrs293
The marriage rate in Tennesseer=0.9423yrs290
The number of sewing machine operators in Californiar=0.9520yrs288
Motor vehicle thefts in Illinoisr=0.9638yrs286
Jet fuel used in Ukrainer=0.9230yrs282
The marriage rate in Alabamar=0.9323yrs278
The number of switchboard operators in Michiganr=0.9520yrs278
Robberies in New Yorkr=0.9638yrs276
Petroluem consumption in Uzbekistanr=0.930yrs270
The marriage rate in Virginiar=0.9323yrs268
The number of sewing machine operators in New Yorkr=0.9520yrs268
Burglaries in Floridar=0.9538yrs264
The divorce rate in Kentuckyr=0.9223yrs258
The number of furniture finishers in North Carolinar=0.9520yrs258
Burglaries in New Jerseyr=0.9538yrs254
Liquefied petroleum gas used in Greenlandr=0.9122yrs253
The divorce rate in North Carolinar=0.9223yrs248
The number of CEOs in Ohior=0.9420yrs248
Burglaries in New Yorkr=0.9538yrs244
Geothermal power generated in Austriar=0.9117yrs241
The divorce rate in Oregonr=0.9223yrs238
The number of switchboard operators in Ohior=0.9520yrs238
Robberies in Washingtonr=0.9538yrs234
The number of maintenance workers, machinery in Virginiar=0.9520yrs228
The marriage rate in Arizonar=0.9223yrs227
Kerosene used in Venezuelar=0.942yrs222
The number of typists in Washingtonr=0.9520yrs218
The marriage rate in South Dakotar=0.9223yrs217
Motor vehicle theftsr=0.9438yrs212
Gasoline pumped in Belgiumr=0.8943yrs211
The number of typists in Wisconsinr=0.9520yrs208
The marriage rate in Wyomingr=0.9223yrs207
Fossil fuel use in Sierra Leoner=0.8742yrs200
The divorce rate in Floridar=0.9123yrs197
Kerosene used in North Korear=0.8942yrs190
The divorce rate in Mainer=0.9123yrs187


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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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