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

VariableCorrelationYearsSys. Score
Violent crime ratesr=0.9638yrs456
Motor vehicle theftsr=0.9638yrs436
Remaining Forest Cover in the Brazilian Amazonr=0.9736yrs434
Robberies in the USr=0.9538yrs434
US birth rates of triplets or morer=0.9620yrs418
The divorce rate in Wyomingr=0.9723yrs416
The divorce rate in North Carolinar=0.9623yrs414
The marriage rate in Arkansasr=0.9623yrs413
Gasoline pumped in United Kingdomr=0.9143yrs394
Portion of all US dairy skim-solids allocated to the production of frozen dairy productsr=0.9722yrs390
The number of human resources assistants in District of Columbiar=0.9620yrs390
The number of postmasters in Massachusettsr=0.9620yrs390
The number of switchboard operators in New Hampshirer=0.9620yrs390
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.9622yrs389
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milkr=0.9622yrs389
Motor vehicle thefts in Pennsylvaniar=0.9738yrs387
Carjackings in the USr=0.9127yrs387
The divorce rate in Kentuckyr=0.9523yrs383
Gasoline pumped in Germanyr=0.9132yrs383
Petroluem consumption in Germanyr=0.932yrs382
Physical album shipment volume in the United Statesr=0.9424yrs381
Cigarette Smoking Rate for US adultsr=0.9421yrs378
Arson in Texasr=0.9638yrs376
The divorce rate in Washingtonr=0.9523yrs373
Google searches for 'shook'r=0.9119yrs373
Google searches for 'oprah winfrey'r=0.9119yrs373
GMO use in corn grown in North Dakotar=0.9518yrs372
United States music album salesr=0.9116yrs368
Motor vehicle thefts in Floridar=0.9638yrs366
GMO use in cottonr=0.9323yrs362
US household spending on clothingr=0.9523yrs362
The number of telemarketers in New Yorkr=0.9520yrs360
US household spending on clothin for womenr=0.9423yrs360
US average milk-fat content of frozen dairy productsr=0.9622yrs359
US household spending on prescription drugsr=0.9323yrs358
US household spending on clothing for menr=0.9223yrs357
US household spending on postage and stationeryr=0.9123yrs356
Burglaries in District of Columbiar=0.9538yrs354
US household spending on booksr=0.923yrs354
The number of postmasters in North Carolinar=0.9620yrs350
Robberies in Illinoisr=0.9538yrs344
Google searches for 'report UFO sighting'r=0.8719yrs343
Viewership count of American Idol Season Finaler=0.8721yrs342
GMO use in corn grown in Minnesotar=0.9123yrs342
U.S. intercountry adoptionsr=0.8723yrs340
The number of file clerks in Alabamar=0.9619yrs339
Milk consumptionr=0.9432yrs338
Google searches for 'desktop background'r=0.916yrs338
The divorce rate in Tennesseer=0.9523yrs333
The number of postal service machine operators in Iowar=0.9520yrs328
Cottage cheese consumptionr=0.9232yrs324
The marriage rate in Idahor=0.9523yrs322
Arson in United Statesr=0.9238yrs320
Gasoline pumped in Latviar=0.8931yrs319
The number of postmasters in Marylandr=0.9520yrs318
Frozen yogurt consumptionr=0.9232yrs314
The marriage rate in Nevadar=0.9523yrs312
GMO use in cotton in Texasr=0.9323yrs312
The number of boiler operators in Massachusettsr=0.9520yrs308
Petroluem consumption in Uzbekistanr=0.8930yrs308
The marriage rate in South Dakotar=0.9523yrs302
GMO use in corn grown in Texasr=0.9318yrs300
The number of switchboard operators in New Yorkr=0.9520yrs298
Gasoline pumped in Lithuaniar=0.8731yrs296
The divorce rate in Alabamar=0.9423yrs292
The number of file clerks in Ohior=0.9520yrs288
Jet fuel used in Ukrainer=0.8830yrs286
Burglaries in Kansasr=0.9538yrs284
US average milk-fat content of cottage cheeser=0.9322yrs284
The divorce rate in Floridar=0.9423yrs282
The number of prepress technicians and workers in Pennsylvaniar=0.9520yrs278
Robberies in Georgiar=0.9538yrs274
The divorce rate in Idahor=0.9423yrs272
Geothermal power generated in Austriar=0.917yrs270
The number of typists in Wisconsinr=0.9520yrs268
The divorce rate in Illinoisr=0.9423yrs262
Arson in Wyomingr=0.9438yrs262
US production of fluid beverage milkr=0.8822yrs260
Liquefied petroleum gas used in Greenlandr=0.8822yrs258
The number of printing press operators in New Jerseyr=0.9513yrs252
The divorce rate in Missourir=0.9423yrs252
Motor vehicle thefts in New Jerseyr=0.9438yrs252
US milk fat used to produce fluid beverage milkr=0.8822yrs250
The divorce rate in Oregonr=0.9423yrs242
Motor vehicle thefts in New Yorkr=0.9438yrs242
Robberies in Louisianar=0.9438yrs232
The marriage rate in Alabamar=0.9423yrs230
Robberies in Missourir=0.9438yrs222
The divorce rate in Mainer=0.9323yrs220
The number of telemarketers in Californiar=0.9520yrs220
Robberies in New Jerseyr=0.9438yrs212
The divorce rate in Mississippir=0.9323yrs210
The number of switchboard operators in Californiar=0.9520yrs208
Robberies in Connecticutr=0.9438yrs202
The divorce rate in New Hampshirer=0.9323yrs200
The number of postal service machine operators in Idahor=0.9520yrs198
Robberies in Connecticutr=0.9438yrs192
The divorce rate in Ohior=0.9323yrs190
The number of postmasters in Louisianar=0.9520yrs188
The number of social workers in Louisianar=0.9520yrs178
The number of switchboard operators in Mainer=0.9520yrs168


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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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