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

VariableCorrelationYearsSys. Score
Kerosene used in Turkiyer=0.9843yrs434
Kerosene used in Mexicor=0.9740yrs430
Kerosene used in Venezuelar=0.9542yrs429
Average number of milk cows in the United Statesr=0.9443yrs423
Carjackings in the USr=0.9527yrs423
Arson in New Yorkr=0.9938yrs420
Burglaries in New Yorkr=0.9738yrs417
The marriage rate in Nevadar=0.9723yrs414
Google searches for 'learn spanish'r=0.9619yrs410
Air pollution in Los Angelesr=0.9543yrs398
Air pollution in San Diego, Californiar=0.9743yrs398
US household spending on booksr=0.9623yrs393
The number of floral designers in Kentuckyr=0.9720yrs392
The number of file clerks in Michiganr=0.9720yrs392
The number of advertising and promotions managers in Puerto Ricor=0.9720yrs392
US average milk-fat content of frozen dairy productsr=0.9622yrs389
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.9522yrs388
Burglaries in Californiar=0.9738yrs387
The distance between Neptune and Mercuryr=0.9248yrs384
Physical album shipment volume in the United Statesr=0.9424yrs381
US birth rates of triplets or morer=0.9120yrs380
The distance between Neptune and Earthr=0.948yrs380
The distance between Neptune and the moonr=0.948yrs380
The marriage rate in Idahor=0.9423yrs380
The marriage rate in Tennesseer=0.9423yrs380
GMO use in corn grown in South Dakotar=0.9623yrs379
Google searches for 'black holes'r=0.9519yrs379
GMO use in cotton in North Carolinar=0.9723yrs378
Google searches for 'snoop dog'r=0.9419yrs378
Burglaries in Colorador=0.9638yrs376
The wind speed in Nashviller=0.9139yrs373
The wind speed in San Diegor=0.9139yrs373
The wind speed in Austinr=0.939yrs372
Petroluem consumption in Bulgariar=0.9442yrs368
Robberies in Oregonr=0.9638yrs366
Customer satisfaction with Verizonr=0.8628yrs364
Air pollution in Los Angelesr=0.9343yrs364
Remaining Forest Cover in the Brazilian Amazonr=0.936yrs363
Highest Nielsen rating for a TV show each yearr=0.8646yrs361
AIG's stock price (AIG)r=0.8921yrs360
The number of typists in Floridar=0.9620yrs360
Gasoline pumped in Bulgariar=0.9442yrs358
The number of typists in Indianar=0.9620yrs350
The divorce rate in Alabamar=0.9323yrs350
US milk fat used to produce fluid beverage milkr=0.9422yrs349
Kerosene used in Ecuadorr=0.9442yrs348
The number of typists in Iowar=0.9620yrs340
The divorce rate in Tennesseer=0.9323yrs340
Kerosene used in Uruguayr=0.9342yrs336
Air pollution in Oxnard, Californiar=0.9541yrs332
The number of typists in Mainer=0.9620yrs330
Frozen yogurt consumptionr=0.932yrs330
The marriage rate in Arizonar=0.9323yrs328
Kerosene used in Portugalr=0.9143yrs324
Burglaries in Connecticutr=0.9438yrs322
Air pollution in San Diego, Californiar=0.9243yrs320
The number of postal service machine operators in Massachusettsr=0.9620yrs320
The marriage rate in Ohior=0.9323yrs318
Kerosene used in Hong Kongr=0.9142yrs313
Motor vehicle thefts in Massachusettsr=0.9438yrs312
The number of prepress technicians and workers in North Carolinar=0.9620yrs310
The marriage rate in Alabamar=0.9223yrs307
Petroluem consumption in Romaniar=0.9142yrs303
Robberies in New Yorkr=0.9438yrs302
The number of sewing machine operators in North Carolinar=0.9620yrs300
The marriage rate in Kentuckyr=0.9223yrs297
Gasoline pumped in Somaliar=0.9142yrs293
Burglaries in Montanar=0.9338yrs291
The number of cutters and trimmers, hand in North Carolinar=0.9620yrs290
The marriage rate in Virginiar=0.9223yrs287
Gasoline pumped in Cubar=0.942yrs282
Burglaries in Oregonr=0.9338yrs281
The number of typists in Ohior=0.9620yrs280
The marriage rate in Arkansasr=0.9123yrs276
Kerosene used in Cubar=0.942yrs272
Motor vehicle thefts in Oklahomar=0.9338yrs271
The number of brickmasons in Ohior=0.9620yrs270
The marriage rate in South Carolinar=0.9123yrs266
The number of sewing machine operators in Pennsylvaniar=0.9620yrs260
Arson in Colorador=0.9238yrs260
Jet fuel used in Ukrainer=0.9430yrs256
The marriage rate in Wyomingr=0.9123yrs256
The number of prepress technicians and workers in Wisconsinr=0.9620yrs250
Burglaries in Rhode Islandr=0.9238yrs250
Petroluem consumption in Belarusr=0.9330yrs244
The number of professional painters in Puerto Ricor=0.9620yrs240
Robberies in Michiganr=0.9238yrs240
Petroluem consumption in Ukrainer=0.9330yrs234
The number of compensation and benefits managers in Illinoisr=0.9619yrs229
Burglaries in Oklahomar=0.9138yrs228
Petroluem consumption in Azerbaijanr=0.9230yrs222
The number of compensation and benefits managers in Indianar=0.9619yrs219
Burglaries in Texasr=0.9138yrs218
The number of compensation and benefits managers in South Carolinar=0.9619yrs209
Liquefied petroleum gas used in Greenlandr=0.9522yrs209
Arson in Californiar=0.938yrs206
The number of brickmasons in Alabamar=0.9520yrs198
Burglaries in Floridar=0.938yrs196
Jet fuel used in Saint Vincent/Grenadinesr=0.9224yrs196
Burglaries in Massachusettsr=0.938yrs186
Kerosene used in Argentinar=0.942yrs172


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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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