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

VariableCorrelationYearsHas img?
Physical album shipment volume in the United Statesr=0.9624yrsNo
Arson in Idahor=0.9322yrsNo
Air pollution in Jacksonr=0.7935yrsYes!
US Barley Production Volumer=0.7623yrsNo



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

VariableCorrelationYearsSys. Score
The marriage rate in Idahor=0.9623yrs413
The marriage rate in Nevadar=0.9623yrs413
The marriage rate in Wyomingr=0.9623yrs413
The number of sewing machine operators in Massachusettsr=0.9820yrs393
The number of furniture finishers in New Yorkr=0.9820yrs393
The number of prepress technicians and workers in Floridar=0.9720yrs392
US birth rates of triplets or morer=0.9120yrs380
Google searches for 'panama canal'r=0.9219yrs374
Google searches for 'Panama Canal'r=0.9219yrs374
Liquefied petroleum gas used in Greenlandr=0.922yrs372
AIG's stock price (AIG)r=0.921yrs362
The number of meter readers, utilities in Wisconsinr=0.9620yrs360
Lloyds Banking Group's stock price (LYG)r=0.8921yrs360
Citigroup's stock price (C)r=0.8721yrs358
US household spending on clothingr=0.9223yrs357
US household spending on clothing for menr=0.9123yrs356
US household spending on clothin for womenr=0.9123yrs356
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.9322yrs354
US average milk-fat content of frozen dairy productsr=0.9322yrs354
US household spending on booksr=0.923yrs354
Portion of all US dairy skim-solids allocated to the production of frozen dairy productsr=0.9222yrs353
The marriage rate in Arkansasr=0.9423yrs350
The number of floral designers in Arizonar=0.9520yrs348
Number of articles Matt Levine published on Bloomberg on Wednesdaysr=0.959yrs348
GMO use in corn grown in South Dakotar=0.9123yrs342
Gasoline pumped in Croatiar=0.8530yrs342
U.S. intercountry adoptionsr=0.8823yrs341
The marriage rate in South Dakotar=0.9423yrs340
Google searches for 'learn spanish'r=0.8919yrs340
The number of sewing machine operators in Californiar=0.9520yrs338
GMO use in cotton in North Carolinar=0.9123yrs338
Cigarette Smoking Rate for US adultsr=0.8621yrs336
Jet fuel used in Former Czechoslovakiar=0.913yrs332
The marriage rate in Virginiar=0.9423yrs330
The number of file clerks in Colorador=0.9520yrs328
GMO use in cottonr=0.8923yrs326
Associates degrees awarded in social servicesr=0.9411yrs320
US household spending on postage and stationeryr=0.8723yrs320
US household spending on floor coveringsr=0.8723yrs320
The number of switchboard operators in Delawarer=0.9520yrs318
The marriage rate in Alabamar=0.9323yrs318
US household spending on transportationr=0.8523yrs316
US milk fat used to produce fluid beverage milkr=0.8822yrs310
Google searches for 'snoop dog'r=0.8919yrs310
The number of professional painters in Georgiar=0.9520yrs308
The marriage rate in Kentuckyr=0.9323yrs308
United States music album salesr=0.8616yrs301
How insightful Technology Connections YouTube video titles arer=0.938yrs300
The number of brokerage clerks in Illinoisr=0.9520yrs298
The divorce rate in Tennesseer=0.9223yrs298
Google searches for 'black holes'r=0.8819yrs298
Master's degrees awarded in literaturer=0.9110yrs296
Associates degrees awarded in Dental assistingr=0.9111yrs295
Number of articles Matt Levine published on Bloomberg on Tuesdaysr=0.939yrs294
Number of articles Matt Levine published on Bloomberg on Thursdaysr=0.929yrs293
The number of data entry keyers in New Yorkr=0.9520yrs288
The marriage rate in Ohior=0.9223yrs287
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milkr=0.8922yrs278
The marriage rate in Tennesseer=0.9223yrs277
GMO use in corn grown in Iowar=0.8623yrs274
The number of childcare workers in Kentuckyr=0.9513yrs272
The divorce rate in Alabamar=0.9123yrs267
US average milk-fat content of cottage cheeser=0.8822yrs267
GMO use in cotton in Texasr=0.8823yrs264
Bachelor's degrees awarded in linguisticsr=0.910yrs264
The divorce rate in North Carolinar=0.9123yrs257
GMO use in corn grown in Texasr=0.8718yrs250
The marriage rate in Louisianar=0.9123yrs246
GMO use in cotton in Alabamar=0.8918yrs240
The number of upholsterers in Californiar=0.9520yrs238
The marriage rate in South Carolinar=0.9123yrs236
The number of locker room attendants in Indianar=0.9519yrs228
The marriage rate in Wisconsinr=0.9123yrs226
US Employment Rater=0.7333yrs224
Total annual sales of Ford Motors in the United Statesr=0.8223yrs224
US Tobacco Productionr=0.7923yrs222
The number of professional painters in Indianar=0.9520yrs218
Kerosene used in Greecer=0.8442yrs218
The number of data entry keyers in Iowar=0.9520yrs208
Petroluem consumption in Swedenr=0.843yrs202
The number of upholsterers in Mississippir=0.9520yrs198
Kerosene used in Norwayr=0.7943yrs191
The number of floral designers in North Carolinar=0.9520yrs188
The divorce rate in Floridar=0.8923yrs184
The number of data entry keyers in Washingtonr=0.9520yrs178
Kerosene used in United Statesr=0.7643yrs176
The divorce rate in Kentuckyr=0.8923yrs174
The number of brickmasons in Alabamar=0.9420yrs167
The divorce rate in Nevadar=0.8923yrs164
Petroluem consumption in Denmarkr=0.7443yrs164
The marriage rate in Arizonar=0.8923yrs152
Kerosene used in Cabo Verder=0.7442yrs152
Fossil fuel use in Czechiar=0.7929yrs140
Fossil fuel use in Hungaryr=0.742yrs130
Gasoline pumped in Guamr=0.7242yrs120
Kerosene used in Portugalr=0.7243yrs110
Kerosene used in Canadar=0.7143yrs99
Kerosene used in El Salvadorr=0.6942yrs85
Petroluem consumption in Finlandr=0.6843yrs74


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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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