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

VariableCorrelationYearsHas img?
Arson in United Statesr=0.9638yrsNo



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

VariableCorrelationYearsSys. Score
Remaining Forest Cover in the Brazilian Amazonr=0.9836yrs435
Kerosene used in Thailandr=0.9842yrs434
Kerosene used in Argentinar=0.9742yrs432
Gasoline pumped in Francer=0.9643yrs432
Carjackings in the USr=0.9727yrs426
The distance between Neptune and the Sunr=0.9648yrs420
The distance between Neptune and Earthr=0.9648yrs420
The distance between Neptune and Mercuryr=0.9648yrs420
Burglaries in New Yorkr=0.9938yrs420
US birth rates of triplets or morer=0.9720yrs419
Physical album shipment volume in the United Statesr=0.9824yrs417
The marriage rate in Arkansasr=0.9823yrs416
The marriage rate in Nevadar=0.9823yrs416
The marriage rate in Tennesseer=0.9823yrs416
The wind speed in Austinr=0.9739yrs412
Viewership count for Days of Our Livesr=0.9547yrs410
United States music album salesr=0.9816yrs409
Google searches for 'desktop background'r=0.9516yrs406
Kerosene used in Cubar=0.9642yrs400
The number of telemarketers in Californiar=0.9920yrs396
The number of conveyor operators in New Jerseyr=0.9920yrs394
The number of CEOs in Ohior=0.9820yrs394
US household spending on clothingr=0.9723yrs394
Air pollution in Riverside, Californiar=0.9543yrs394
Air pollution in San Diego, Californiar=0.9543yrs394
US household spending on clothing for menr=0.9623yrs393
US household spending on booksr=0.9623yrs393
US household spending on clothin for womenr=0.9523yrs392
US average milk-fat content of frozen dairy productsr=0.9722yrs390
Kerosene used in Egyptr=0.9642yrs390
The distance between Neptune and the moonr=0.9648yrs390
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.9622yrs389
Portion of all US dairy skim-solids allocated to the production of frozen dairy productsr=0.9622yrs389
Burglaries in Californiar=0.9838yrs388
The divorce rate in Alabamar=0.9723yrs386
Google searches for 'report UFO sighting'r=0.9119yrs379
Google searches for 'learn spanish'r=0.9519yrs379
The wind speed in San Diegor=0.9539yrs379
Google searches for 'oprah winfrey'r=0.9419yrs378
Burglaries in Connecticutr=0.9838yrs378
GMO use in corn grown in Texasr=0.9818yrs377
The divorce rate in Tennesseer=0.9723yrs376
Motor vehicle thefts in Massachusettsr=0.9838yrs368
The marriage rate in Alabamar=0.9623yrs363
The number of sewing machine operators in Californiar=0.9820yrs363
Burglaries in New Jerseyr=0.9738yrs357
The marriage rate in Idahor=0.9623yrs353
The number of postal service machine operators in Connecticutr=0.9820yrs353
Gasoline pumped in Cubar=0.9542yrs349
Frozen yogurt consumptionr=0.9532yrs348
Robberies in New Yorkr=0.9738yrs347
Google searches for 'panama canal'r=0.9319yrs346
The marriage rate in Ohior=0.9623yrs343
The number of postal service machine operators in Iowar=0.9820yrs343
Kerosene used in Venezuelar=0.9442yrs338
Arson in Californiar=0.9638yrs336
The marriage rate in South Carolinar=0.9623yrs333
The number of file clerks in Massachusettsr=0.9820yrs333
Burglaries in Floridar=0.9638yrs326
Gasoline pumped in Austriar=0.9243yrs326
The marriage rate in South Dakotar=0.9623yrs323
The number of postal service machine operators in Nebraskar=0.9820yrs323
Burglaries in Minnesotar=0.9638yrs316
Kerosene used in Pakistanr=0.9342yrs316
The marriage rate in Wyomingr=0.9623yrs313
The number of brokerage clerks in New Yorkr=0.9820yrs313
Burglaries in Montanar=0.9638yrs306
Kerosene used in Uruguayr=0.9242yrs304
The divorce rate in North Carolinar=0.9523yrs303
The number of data entry keyers in New Yorkr=0.9820yrs303
Burglaries in District of Columbiar=0.9638yrs296
The number of postal service machine operators in North Dakotar=0.9820yrs293
Kerosene used in Brazilr=0.9142yrs293
Motor vehicle thefts in New Jerseyr=0.9638yrs286
The number of typists in Ohior=0.9820yrs283
Gasoline pumped in Bulgariar=0.9142yrs283
Robberies in Michiganr=0.9638yrs276
The number of postal service machine operators in Oregonr=0.9820yrs273
Kerosene used in North Korear=0.9142yrs273
Robberies in Oregonr=0.9638yrs266
The number of postal service machine operators in Washingtonr=0.9820yrs263
The marriage rate in Virginiar=0.9523yrs262
Arson in New Yorkr=0.9538yrs254
The number of postal service machine operators in Wisconsinr=0.9820yrs253
The divorce rate in Wyomingr=0.9423yrs252
Jet fuel used in Ukrainer=0.9130yrs251
Burglaries in Illinoisr=0.9538yrs244
The number of millwrights in Wisconsinr=0.9820yrs243
The divorce rate in Ohior=0.9323yrs240
Burglaries in Rhode Islandr=0.9538yrs234
The number of switchboard operators in Alabamar=0.9720yrs232
The marriage rate in Arizonar=0.9323yrs228
Burglaries in Virginiar=0.9538yrs224
The number of meter readers, utilities in Alabamar=0.9720yrs222
The marriage rate in Kansasr=0.9323yrs218
The number of typists in Alabamar=0.9720yrs212
The marriage rate in Kentuckyr=0.9323yrs208
The number of postal service machine operators in Colorador=0.9720yrs202
The marriage rate in West Virginiar=0.9323yrs198
The divorce rate in Floridar=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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