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

VariableCorrelationYearsSys. Score
Arson in United Statesr=0.9738yrs437
Burglary rates in the USr=0.9738yrs437
Remaining Forest Cover in the Brazilian Amazonr=0.9736yrs434
Robberies in the USr=0.9538yrs434
The distance between Neptune and the Sunr=0.9548yrs418
The distance between Neptune and Earthr=0.9548yrs418
The distance between Neptune and the moonr=0.9548yrs418
Kerosene used in Thailandr=0.9442yrs398
Kerosene used in Uruguayr=0.9442yrs398
Kerosene used in Turkiyer=0.9343yrs397
Burglaries in New Jerseyr=0.9838yrs388
The number of cooks, institution and cafeteria in Louisianar=0.9520yrs388
US birth rates of triplets or morer=0.9320yrs383
The divorce rate in North Carolinar=0.9423yrs382
The wind speed in Austinr=0.9539yrs379
Burglaries in Connecticutr=0.9838yrs378
The divorce rate in Kentuckyr=0.9223yrs378
The divorce rate in Wyomingr=0.9223yrs378
The wind speed in San Diegor=0.9339yrs376
Cigarette Smoking Rate for US adultsr=0.9221yrs375
Milk consumptionr=0.9232yrs375
Cottage cheese consumptionr=0.9232yrs374
Google searches for 'desktop background'r=0.9316yrs373
United States music album salesr=0.9316yrs372
Frozen yogurt consumptionr=0.9132yrs372
Viewership count for Days of Our Livesr=0.8947yrs371
Google searches for 'Britney Spears'r=0.9115yrs369
Violent crime ratesr=0.9138yrs368
US music album salesr=0.9116yrs368
Kerosene used in Argentinar=0.9342yrs366
Air pollution in Los Angelesr=0.9343yrs364
Air pollution in Los Angelesr=0.9243yrs363
Air pollution in Oxnard, Californiar=0.9343yrs362
US household spending on fresh milk and creamr=0.9423yrs360
The distance between Neptune and Mercuryr=0.9548yrs358
The number of prepress technicians and workers in Arkansasr=0.9520yrs358
The number of telemarketers in Massachusettsr=0.9420yrs358
Burglaries in Floridar=0.9738yrs357
Kerosene used in Cubar=0.9342yrs356
Burglaries in Illinoisr=0.9738yrs347
The divorce rate in Mainer=0.9123yrs347
Gasoline pumped in Francer=0.9243yrs346
Burglaries in Minnesotar=0.9738yrs337
The divorce rate in Virginiar=0.9123yrs337
Gasoline pumped in Bulgariar=0.9142yrs333
Air pollution in San Diego, Californiar=0.9343yrs332
The number of computer programmers in New Yorkr=0.9420yrs328
Burglaries in New Yorkr=0.9738yrs327
The marriage rate in Idahor=0.9123yrs326
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milkr=0.9422yrs326
Gasoline pumped in Cubar=0.9142yrs323
Air pollution in San Diego, Californiar=0.9343yrs322
Burglaries in Virginiar=0.9738yrs317
The number of switchboard operators in Arizonar=0.9420yrs317
The marriage rate in Wyomingr=0.9123yrs316
Kerosene used in Venezuelar=0.9142yrs313
Air pollution in Oxnard, Californiar=0.9441yrs311
Motor vehicle thefts in Massachusettsr=0.9738yrs307
The number of bill collectors in Colorador=0.9320yrs307
The divorce rate in Delawarer=0.923yrs306
Kerosene used in Mexicor=0.9140yrs301
Air pollution in New York Cityr=0.943yrs300
The number of human resources assistants in District of Columbiar=0.9420yrs297
Arson in New Jerseyr=0.9638yrs296
The divorce rate in Oregonr=0.923yrs296
Air pollution in New York Cityr=0.943yrs290
Carjackings in the USr=0.9127yrs287
The number of data entry keyers in Minnesotar=0.9420yrs287
Burglaries in Marylandr=0.9638yrs286
The divorce rate in Washingtonr=0.923yrs286
Gasoline pumped in Latviar=0.931yrs280
Air pollution in Riverside, Californiar=0.9243yrs280
The number of postal service machine operators in Montanar=0.9420yrs277
Burglaries in Massachusettsr=0.9638yrs276
The marriage rate in South Dakotar=0.923yrs274
Air pollution in Philadelphia, Pennsylvaniar=0.9143yrs268
The number of file clerks in South Dakotar=0.9420yrs267
Burglaries in Arizonar=0.9638yrs266
Air pollution in Steamboat Springs, Colorador=0.9438yrs258
The number of computer programmers in Tennesseer=0.9320yrs257
Burglaries in New Mexicor=0.9638yrs256
Fossil fuel use in Sierra Leoner=0.8942yrs253
The number of counter and rental clerks in Utahr=0.9420yrs247
Burglaries in Rhode Islandr=0.9638yrs246
Gasoline pumped in Austriar=0.8943yrs241
The number of human resources assistants in Wisconsinr=0.9420yrs237
Burglaries in Californiar=0.9638yrs236
Kerosene used in Portugalr=0.8843yrs230
The number of file clerks in Puerto Ricor=0.9420yrs227
Motor vehicle thefts in New Jerseyr=0.9638yrs226
Petroluem consumption in Romaniar=0.8942yrs220
The number of recreational therapists in Connecticutr=0.9320yrs216
Kerosene used in Brazilr=0.8842yrs208
The number of computer programmers in Floridar=0.9220yrs206
Kerosene used in Egyptr=0.8842yrs198
The number of postal service machine operators in Idahor=0.9320yrs196
Kerosene used in Hong Kongr=0.8842yrs188
The number of switchboard operators in Iowar=0.9320yrs186
Kerosene used in Norwayr=0.8743yrs178
The number of computer programmers in Kansasr=0.9220yrs176
Kerosene used in United Statesr=0.8743yrs168


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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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