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

VariableCorrelationYearsSys. Score
Kerosene used in Turkiyer=0.9643yrs432
Gasoline pumped in Bulgariar=0.9642yrs430
Kerosene used in Mexicor=0.9740yrs430
Carjackings in the USr=0.9527yrs423
Average number of milk cows in the United Statesr=0.9343yrs422
US birth rates of triplets or morer=0.9820yrs420
The distance between Neptune and Mercuryr=0.9548yrs418
Burglaries in New Yorkr=0.9838yrs418
Burglaries in Californiar=0.9838yrs418
Physical album shipment volume in the United Statesr=0.9724yrs416
The marriage rate in Idahor=0.9823yrs416
The marriage rate in Nevadar=0.9823yrs416
The divorce rate in Alabamar=0.9723yrs416
United States music album salesr=0.9716yrs408
Google searches for 'desktop background'r=0.9516yrs406
Viewership count for Days of Our Livesr=0.9147yrs404
Remaining Forest Cover in the Brazilian Amazonr=0.9536yrs400
Kerosene used in Venezuelar=0.9642yrs400
Air pollution in Los Angelesr=0.9643yrs399
Air pollution in Oxnard, Californiar=0.9741yrs396
Air pollution in San Diego, Californiar=0.9643yrs396
US average milk-fat content of frozen dairy productsr=0.9922yrs394
The number of telemarketers in Californiar=0.9820yrs394
The number of data entry keyers in New Yorkr=0.9920yrs394
The number of millwrights in Wisconsinr=0.9920yrs394
US household spending on clothingr=0.9623yrs393
US household spending on clothing for menr=0.9623yrs393
US household spending on clothin for womenr=0.9623yrs393
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.9822yrs392
The distance between Neptune and Earthr=0.9548yrs388
The distance between Neptune and the moonr=0.9548yrs388
Burglaries in Colorador=0.9838yrs388
The divorce rate in North Carolinar=0.9723yrs386
Cigarette Smoking Rate for US adultsr=0.9521yrs380
Arson in New Yorkr=0.9738yrs377
The divorce rate in Tennesseer=0.9723yrs376
Geothermal power generated in Austriar=0.9617yrs368
Robberies in Oregonr=0.9738yrs367
The marriage rate in Arkansasr=0.9723yrs364
The number of typists in Alabamar=0.9820yrs363
Portion of all US dairy skim-solids allocated to the production of frozen dairy productsr=0.9822yrs362
The distance between Neptune and the Sunr=0.9448yrs356
Burglaries in Oregonr=0.9638yrs356
The divorce rate in Kentuckyr=0.9623yrs354
The number of sewing machine operators in Californiar=0.9820yrs353
Petroluem consumption in Bulgariar=0.9542yrs349
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milkr=0.9622yrs349
Burglaries in Texasr=0.9638yrs346
The number of travel agents in Connecticutr=0.9820yrs343
The marriage rate in Alabamar=0.9623yrs343
Kerosene used in Ecuadorr=0.9442yrs338
Burglaries in Connecticutr=0.9638yrs336
The number of bill collectors in Illinoisr=0.9720yrs333
The marriage rate in South Dakotar=0.9623yrs333
Gasoline pumped in Somaliar=0.9442yrs328
Motor vehicle thefts in Massachusettsr=0.9638yrs326
The number of couriers and messengers in Indianar=0.9820yrs323
The marriage rate in Virginiar=0.9623yrs323
Gasoline pumped in Cubar=0.9342yrs316
Burglaries in Oklahomar=0.9538yrs314
The number of switchboard operators in Massachusettsr=0.9820yrs313
The marriage rate in Wyomingr=0.9623yrs313
Petroluem consumption in Romaniar=0.9342yrs306
Burglaries in Rhode Islandr=0.9538yrs304
The number of file clerks in Massachusettsr=0.9820yrs303
The divorce rate in Wyomingr=0.9523yrs303
Kerosene used in Uruguayr=0.9342yrs296
The number of prepress technicians and workers in Michiganr=0.9820yrs293
The marriage rate in Tennesseer=0.9523yrs292
Kerosene used in Argentinar=0.9242yrs284
The number of conveyor operators in New Jerseyr=0.9820yrs283
Burglary rates in the USr=0.9438yrs282
Kerosene used in Cubar=0.9242yrs274
The number of telemarketers in New Yorkr=0.9720yrs273
Arson in United Statesr=0.9338yrs271
Kerosene used in Hong Kongr=0.9242yrs264
The number of sewing machine operators in New Yorkr=0.9820yrs263
Kerosene used in Thailandr=0.9242yrs254
The number of postal service machine operators in North Dakotar=0.9820yrs253
The divorce rate in New Hampshirer=0.9523yrs253
Robberies in Michiganr=0.9538yrs244
The number of file clerks in Ohior=0.9820yrs243
Kerosene used in Brazilr=0.9142yrs243
The marriage rate in Kentuckyr=0.9523yrs242
The number of postal service machine operators in Oregonr=0.9820yrs233
The divorce rate in Floridar=0.9423yrs232
Arson in Colorador=0.9438yrs232
Jet fuel used in Ukrainer=0.9330yrs224
The number of counter and rental clerks in Pennsylvaniar=0.9820yrs223
The divorce rate in Ohior=0.9423yrs222
Burglaries in Floridar=0.9438yrs222
The number of telemarketers in Pennsylvaniar=0.9720yrs213
The divorce rate in Oregonr=0.9423yrs212
Burglaries in Michiganr=0.9438yrs212
Petroluem consumption in Ukrainer=0.930yrs210
The number of postal service machine operators in Vermontr=0.9820yrs203
The divorce rate in Washingtonr=0.9423yrs202
Burglaries in Minnesotar=0.9438yrs202
Petroluem consumption in Uzbekistanr=0.930yrs200
Burglaries in New Mexicor=0.9438yrs192
The marriage rate in Ohior=0.9423yrs190


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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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