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

VariableCorrelationYearsSys. Score
Kerosene used in Turkiyer=0.9743yrs433
Remaining Forest Cover in the Brazilian Amazonr=0.9636yrs432
Kerosene used in Mexicor=0.9840yrs432
Carjackings in the USr=0.9827yrs428
Average number of milk cows in the United Statesr=0.9443yrs423
Burglaries in Colorador=0.9838yrs418
Robberies in Oregonr=0.9838yrs418
Physical album shipment volume in the United Statesr=0.9624yrs414
The marriage rate in Nevadar=0.9723yrs414
The marriage rate in Tennesseer=0.9723yrs414
The divorce rate in Alabamar=0.9523yrs413
Google searches for 'black holes'r=0.9519yrs409
Gasoline pumped in Bulgariar=0.9542yrs399
The number of file clerks in Michiganr=0.9620yrs390
The number of compensation and benefits managers in South Carolinar=0.9619yrs389
The number of librarians in Californiar=0.9716yrs388
Arson in New Yorkr=0.9738yrs387
The distance between Neptune and Mercuryr=0.9348yrs385
The distance between Neptune and Earthr=0.9248yrs384
The distance between Neptune and the moonr=0.9248yrs384
Google searches for 'learn spanish'r=0.9519yrs379
GMO use in cotton in North Carolinar=0.9723yrs378
Google searches for 'report UFO sighting'r=0.919yrs378
Burglaries in New Yorkr=0.9738yrs377
US milk fat used to produce fluid beverage milkr=0.9222yrs376
Frozen yogurt consumptionr=0.9332yrs375
Google searches for 'snoop dog'r=0.9119yrs373
The wind speed in Austinr=0.9139yrs373
The wind speed in Nashviller=0.9139yrs373
Petroluem consumption in Bulgariar=0.9442yrs368
Burglaries in Oregonr=0.9738yrs367
Viewership count for Days of Our Livesr=0.8647yrs366
Air pollution in Los Angelesr=0.9343yrs364
Customer satisfaction with Verizonr=0.8528yrs363
US household spending on booksr=0.9523yrs362
Air pollution in Los Angelesr=0.9143yrs362
Air pollution in New York Cityr=0.9143yrs362
Highest Nielsen rating for a TV show each yearr=0.8546yrs360
AIG's stock price (AIG)r=0.8821yrs359
Kerosene used in Uruguayr=0.9442yrs358
The number of switchboard operators in Delawarer=0.9520yrs358
Burglaries in Californiar=0.9738yrs357
The distance between Neptune and the Sunr=0.9148yrs352
The divorce rate in Tennesseer=0.9423yrs352
The number of postal service machine operators in Massachusettsr=0.9520yrs348
Motor vehicle thefts in Massachusettsr=0.9638yrs346
Kerosene used in Ecuadorr=0.9342yrs346
The marriage rate in South Carolinar=0.9423yrs340
Cottage cheese consumptionr=0.932yrs340
The number of brickmasons in Mississippir=0.9520yrs338
Kerosene used in Portugalr=0.9243yrs336
Air pollution in San Diego, Californiar=0.9343yrs332
The marriage rate in Wyomingr=0.9423yrs330
The number of file clerks in West Virginiar=0.9520yrs328
Kerosene used in Boliviar=0.9242yrs324
Arson in United Statesr=0.9338yrs321
Air pollution in Oxnard, Californiar=0.9441yrs321
The number of compensation and benefits managers in Alabamar=0.9519yrs318
The marriage rate in Arizonar=0.9323yrs318
Kerosene used in Hong Kongr=0.9142yrs313
Burglary rates in the USr=0.9238yrs310
Air pollution in Manchester, New Hampshirer=0.9243yrs310
The marriage rate in Arkansasr=0.9323yrs308
Kerosene used in Romaniar=0.9142yrs303
Air pollution in Norwich, Connecticutr=0.9342yrs300
The marriage rate in Idahor=0.9323yrs298
Kerosene used in Venezuelar=0.9142yrs293
The marriage rate in Ohior=0.9323yrs288
Arson in Colorador=0.9538yrs284
The number of maintenance and repair workers in Alabamar=0.9520yrs278
The marriage rate in Alabamar=0.9223yrs277
Burglaries in Connecticutr=0.9538yrs274
Petroluem consumption in Uzbekistanr=0.9330yrs274
The number of sewing machine operators in Alabamar=0.9520yrs268
The marriage rate in Virginiar=0.9223yrs267
Gasoline pumped in Germanyr=0.9132yrs263
Arson in Californiar=0.9438yrs262
The number of human resources assistants in Illinoisr=0.9520yrs258
The marriage rate in South Dakotar=0.9123yrs256
Motor vehicle thefts in Oklahomar=0.9438yrs252
Jet fuel used in Ukrainer=0.930yrs250
The number of postal service machine operators in Illinoisr=0.9520yrs248
The divorce rate in North Carolinar=0.923yrs246
Robberies in Michiganr=0.9438yrs242
Liquefied petroleum gas used in Greenlandr=0.9422yrs238
The number of prepress technicians and workers in Illinoisr=0.9520yrs238
Burglaries in Floridar=0.9338yrs231
The number of locker room attendants in Indianar=0.9519yrs228
Burglaries in Alaskar=0.9338yrs221
Geothermal power generated in Austriar=0.917yrs220
The number of typists in Indianar=0.9520yrs218
Burglaries in Minnesotar=0.9338yrs211
The number of typists in Iowar=0.9520yrs208
Kerosene used in Norwayr=0.943yrs202
Burglaries in Montanar=0.9338yrs201
The number of CEOs in Kentuckyr=0.9420yrs198
Kerosene used in United Statesr=0.943yrs192
Burglaries in New Mexicor=0.9338yrs191
The number of payroll and timekeeping clerks in Michiganr=0.9520yrs188
Petroluem consumption in Romaniar=0.8942yrs180
Gasoline pumped in Somaliar=0.8942yrs170


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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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