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

VariableCorrelationYearsHas img?
Robberies in the USr=0.9838yrsNo
Robberies in Missourir=0.9638yrsYes!


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

VariableCorrelationYearsSys. Score
Violent crime ratesr=0.9638yrs456
Motor vehicle theftsr=0.9538yrs434
The divorce rate in Kentuckyr=0.9723yrs416
The divorce rate in North Carolinar=0.9523yrs413
NASA's budget as a percentage of the total US Federal Budgetr=0.9348yrs410
United States music album salesr=0.9616yrs406
Google searches for 'desktop background'r=0.9516yrs406
Remaining Forest Cover in the Brazilian Amazonr=0.9436yrs399
Gasoline pumped in Austriar=0.9443yrs398
Gasoline pumped in United Kingdomr=0.9343yrs397
The number of data entry keyers in Minnesotar=0.9720yrs392
The number of telemarketers in New Yorkr=0.9620yrs392
The number of file clerks in New Yorkr=0.9720yrs392
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milkr=0.9622yrs389
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.9522yrs388
Portion of all US dairy skim-solids allocated to the production of frozen dairy productsr=0.9522yrs388
Burglaries in Kansasr=0.9738yrs387
Gasoline pumped in Latviar=0.9431yrs386
US birth rates of triplets or morer=0.9420yrs384
The divorce rate in Wyomingr=0.9523yrs383
Physical album shipment volume in the United Statesr=0.9324yrs380
Cigarette Smoking Rate for US adultsr=0.9421yrs378
Robberies in Illinoisr=0.9738yrs377
Google searches for 'oprah winfrey'r=0.9119yrs373
Pirate attacks globallyr=0.9214yrs372
Arson in Texasr=0.9638yrs366
The number of boiler operators in Wisconsinr=0.9720yrs362
US household spending on clothin for womenr=0.9523yrs362
GMO use in cottonr=0.9223yrs360
US household spending on clothingr=0.9423yrs360
US household spending on clothing for menr=0.9223yrs357
US household spending on fresh milk and creamr=0.9123yrs356
US household spending on postage and stationeryr=0.9123yrs356
The marriage rate in Wyomingr=0.9523yrs352
The number of switchboard operators in Alabamar=0.9620yrs350
Milk consumptionr=0.9432yrs348
Google searches for 'report UFO sighting'r=0.919yrs348
Robberies in New Jerseyr=0.9638yrs346
Geothermal power generated in Austriar=0.9417yrs346
Viewership count of American Idol Season Finaler=0.8821yrs344
The divorce rate in Floridar=0.9423yrs342
The number of recreational therapists in Connecticutr=0.9620yrs340
Frozen yogurt consumptionr=0.9332yrs335
Arson in North Carolinar=0.9538yrs334
Liquefied petroleum gas used in Greenlandr=0.9222yrs334
The divorce rate in Mainer=0.9423yrs332
The number of computer programmers in Michiganr=0.9520yrs330
Motor vehicle thefts in Pennsylvaniar=0.9538yrs324
Cottage cheese consumptionr=0.9232yrs324
The divorce rate in Mississippir=0.9423yrs322
The number of data entry keyers in New Mexicor=0.9620yrs320
Gasoline pumped in Kosovor=0.9114yrs315
Motor vehicle thefts in Floridar=0.9538yrs314
The number of file clerks in Ohior=0.9620yrs310
The marriage rate in Arkansasr=0.9423yrs310
Robberies in Marylandr=0.9538yrs304
The number of telemarketers in West Virginiar=0.9520yrs300
The marriage rate in Idahor=0.9423yrs300
Petroluem consumption in Italyr=0.8548yrs300
US average milk-fat content of frozen dairy productsr=0.9522yrs298
Robberies in Texasr=0.9538yrs294
The number of human resources assistants in Wisconsinr=0.9620yrs290
The divorce rate in Alabamar=0.9323yrs290
Gasoline pumped in Norwayr=0.8843yrs290
Robberies in Connecticutr=0.9538yrs284
US average milk-fat content of cottage cheeser=0.9222yrs283
The divorce rate in Arkansasr=0.9323yrs280
The number of procurement clerks in Alabamar=0.9520yrs278
Gasoline pumped in Francer=0.8743yrs278
Robberies in Connecticutr=0.9538yrs274
The divorce rate in Missourir=0.9323yrs270
The number of human resources assistants in District of Columbiar=0.9520yrs268
Kerosene used in Egyptr=0.8642yrs266
The divorce rate in New Hampshirer=0.9323yrs260
The number of postmasters in Marylandr=0.9520yrs258
Carjackings in the USr=0.927yrs256
Arson in United Statesr=0.9338yrs251
The divorce rate in Ohior=0.9323yrs250
Petroluem consumption in Germanyr=0.8932yrs250
The number of typists in Mississippir=0.9520yrs248
The divorce rate in Oregonr=0.9323yrs240
Gasoline pumped in Germanyr=0.8932yrs240
Burglary rates in the USr=0.9138yrs238
The number of carpenters in Mississippir=0.9520yrs238
The divorce rate in Tennesseer=0.9323yrs230
The number of conveyor operators in New Jerseyr=0.9520yrs228
Petroluem consumption in Uzbekistanr=0.8930yrs228
The divorce rate in Virginiar=0.9323yrs220
The number of typists in North Carolinar=0.9520yrs218
Liquefied petroleum gas used in Belarusr=0.8830yrs216
Burglaries in District of Columbiar=0.9538yrs214
The number of library assistants in Oregonr=0.9520yrs208
The marriage rate in Nevadar=0.9323yrs208
Jet fuel used in Ukrainer=0.8830yrs206
Robberies in Georgiar=0.9538yrs204
The number of millwrights in Wisconsinr=0.9520yrs198
The marriage rate in South Dakotar=0.9323yrs198
Robberies in Kansasr=0.9538yrs194
The divorce rate in Idahor=0.9223yrs188


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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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