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

VariableCorrelationYearsSys. Score
Kerosene used in Turkiyer=0.9743yrs433
Kerosene used in Mexicor=0.9740yrs430
Gasoline pumped in Bulgariar=0.9542yrs429
Average number of milk cows in the United Statesr=0.9243yrs420
Arson in New Yorkr=0.9838yrs418
Burglaries in New Yorkr=0.9838yrs418
Burglaries in Californiar=0.9838yrs418
Remaining Forest Cover in the Brazilian Amazonr=0.9336yrs398
Air pollution in San Diego, Californiar=0.9743yrs398
Air pollution in Oxnard, Californiar=0.9541yrs392
Burglaries in Connecticutr=0.9738yrs387
The distance between Neptune and Mercuryr=0.9448yrs386
The distance between Neptune and the Sunr=0.9348yrs385
The distance between Neptune and Earthr=0.9348yrs385
Robberies in Oregonr=0.9738yrs377
The divorce rate in Virginiar=0.9123yrs377
The divorce rate in Mainer=0.923yrs376
The divorce rate in New Hampshirer=0.923yrs376
The wind speed in Austinr=0.9239yrs374
The wind speed in Nashviller=0.9239yrs374
The wind speed in San Diegor=0.9139yrs373
Viewership count for Days of Our Livesr=0.8847yrs370
Frozen yogurt consumptionr=0.932yrs370
Kerosene used in Venezuelar=0.9542yrs369
Air pollution in Los Angelesr=0.9543yrs368
Burglaries in Rhode Islandr=0.9638yrs366
Highest Nielsen rating for a TV show each yearr=0.8646yrs361
Kerosene used in Uruguayr=0.9442yrs358
Deutsche Bank Aktiengesellschaft's stock price (DB)r=0.8721yrs358
Burglaries in Colorador=0.9638yrs356
The number of human resources assistants in Idahor=0.9320yrs356
The number of computer programmers in Utahr=0.9220yrs356
The distance between Neptune and the moonr=0.9348yrs355
The number of counter and rental clerks in Illinoisr=0.9220yrs354
Motor vehicle thefts in Massachusettsr=0.9638yrs346
Petroluem consumption in Bulgariar=0.9342yrs346
Cottage cheese consumptionr=0.8832yrs338
Carjackings in the USr=0.9227yrs338
United States music album salesr=0.916yrs337
Cigarette Smoking Rate for US adultsr=0.8621yrs336
Google searches for 'desktop background'r=0.8816yrs336
Kerosene used in Ecuadorr=0.9342yrs336
Air pollution in Los Angelesr=0.9443yrs336
Kerosene used in Argentinar=0.9242yrs324
The number of switchboard operators in North Dakotar=0.9220yrs324
Air pollution in San Diego, Californiar=0.9443yrs323
Burglary rates in the USr=0.9438yrs322
The divorce rate in Kentuckyr=0.923yrs316
Kerosene used in Portugalr=0.9143yrs314
Air pollution in New York Cityr=0.9143yrs312
The number of computer programmers in Floridar=0.920yrs312
Arson in United Statesr=0.9338yrs311
The wind speed in Milwaukeer=0.8639yrs306
The divorce rate in Colorador=0.8923yrs304
Petroluem consumption in Romaniar=0.9242yrs304
The number of library technicians in Idahor=0.9120yrs302
Air pollution in Riverside, Californiar=0.9143yrs298
The divorce rate in Missourir=0.8923yrs294
Gasoline pumped in Somaliar=0.9242yrs294
The number of dishwashers in Oklahomar=0.9120yrs292
Air pollution in Spokane, Washingtonr=0.9143yrs288
The divorce rate in North Carolinar=0.8923yrs284
Gasoline pumped in Cubar=0.9142yrs283
The number of ticket agents in Virgin Islandsr=0.9120yrs282
Air pollution in Steamboat Springs, Colorador=0.9238yrs275
Burglaries in Texasr=0.9538yrs274
Kerosene used in Cubar=0.9142yrs273
The divorce rate in Floridar=0.8823yrs272
The number of procurement clerks in Alabamar=0.920yrs271
Robberies in Michiganr=0.9538yrs264
Kerosene used in Hong Kongr=0.9142yrs263
The number of hairdressers, hairstylists, and cosmetologists in Iowar=0.920yrs261
The marriage rate in Wyomingr=0.8823yrs261
Robberies in New Yorkr=0.9538yrs254
Kerosene used in Thailandr=0.9142yrs253
The number of data entry keyers in New Mexicor=0.920yrs251
The divorce rate in Michiganr=0.8723yrs251
Burglaries in Floridar=0.9438yrs242
The number of painting, coating, and decorating workers in North Carolinar=0.920yrs241
The divorce rate in Mississippir=0.8723yrs241
Petroluem consumption in Ukrainer=0.9330yrs234
Burglaries in Massachusettsr=0.9438yrs232
The number of construction laborers in South Dakotar=0.920yrs231
The divorce rate in Washingtonr=0.8723yrs231
Burglaries in Minnesotar=0.9438yrs222
Jet fuel used in Ukrainer=0.9230yrs222
The marriage rate in Alabamar=0.8723yrs220
The number of librarians in Marylandr=0.9116yrs218
Burglaries in Montanar=0.9438yrs212
Petroluem consumption in Belarusr=0.9130yrs211
The divorce rate in Delawarer=0.8623yrs210
Burglaries in New Jerseyr=0.9438yrs202
The divorce rate in Ohior=0.8623yrs200
Burglaries in New Mexicor=0.9438yrs192
The divorce rate in Oregonr=0.8623yrs190
Petroluem consumption in Former Czechoslovakiar=0.9513yrs190
The divorce rate in Tennesseer=0.8623yrs180
The divorce rate in Vermontr=0.8623yrs170
Kerosene used in Boliviar=0.8942yrs170
The divorce rate in Wisconsinr=0.8623yrs160
The marriage rate in Idahor=0.8623yrs148


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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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