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

VariableCorrelationYearsSys. Score
Gasoline pumped in Latviar=0.9631yrs420
Google searches for 'desktop background'r=0.9716yrs409
United States music album salesr=0.9616yrs406
Gasoline pumped in Kosovor=0.9814yrs406
Remaining Forest Cover in the Brazilian Amazonr=0.9336yrs398
Motor vehicle theftsr=0.9138yrs398
Robberies in the USr=0.9138yrs398
The number of computer programmers in New Yorkr=0.9820yrs394
The number of switchboard operators in Arizonar=0.9820yrs393
The number of telemarketers in Massachusettsr=0.9720yrs393
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milkr=0.9622yrs389
Violent crime ratesr=0.8938yrs385
US birth rates of triplets or morer=0.9320yrs383
Bachelor's degrees awarded in Theology and religious vocationsr=0.9610yrs383
The divorce rate in Wyomingr=0.9523yrs383
The divorce rate in Kentuckyr=0.9323yrs380
The divorce rate in Mississippir=0.9323yrs380
Cigarette Smoking Rate for US adultsr=0.9421yrs378
Viewership count of American Idol Season Finaler=0.9121yrs378
Cottage cheese consumptionr=0.9532yrs378
U.S. intercountry adoptionsr=0.9223yrs377
Milk consumptionr=0.9332yrs376
Geothermal power generated in Austriar=0.9417yrs376
Pirate attacks globallyr=0.9214yrs372
The number of computer programmers in North Carolinar=0.9720yrs363
Asthma attacks in American childrenr=0.8623yrs362
GMO use in cottonr=0.9223yrs360
US household spending on mortgage interest and chargesr=0.9423yrs360
Asthma prevalence in American childrenr=0.8717yrs358
US household spending on postage and stationeryr=0.9123yrs356
US household spending on clothingr=0.9123yrs356
US household spending on clothin for womenr=0.9123yrs356
How insightful LockPickingLawyer YouTube video titles arer=0.978yrs356
Average views of Numberphile YouTube videosr=0.9412yrs355
Global Per Capita Rice Consumptionr=0.9220yrs354
US household spending on fresh milk and creamr=0.923yrs354
The number of telemarketers in North Dakotar=0.9720yrs353
Robberies in Georgiar=0.9338yrs351
The divorce rate in Arkansasr=0.9223yrs348
US production of fluid beverage milkr=0.9122yrs344
Physical album shipment volume in the United Statesr=0.8924yrs344
The number of computer programmers in Oklahomar=0.9720yrs343
GMO use in corn grown in Texasr=0.9518yrs342
GMO use in cotton in Texasr=0.9323yrs342
Motor vehicle thefts in New Jerseyr=0.9238yrs340
The divorce rate in North Carolinar=0.9223yrs338
The number of legislators in Tennesseer=0.9720yrs333
Motor vehicle thefts in Texasr=0.9238yrs330
The marriage rate in Alaskar=0.9223yrs327
The number of file clerks in Massachusettsr=0.9720yrs322
Motor vehicle thefts in Texasr=0.9238yrs320
The marriage rate in Kansasr=0.9223yrs317
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.9422yrs316
Gasoline pumped in Uzbekistanr=0.8830yrs316
The number of counter and rental clerks in Minnesotar=0.9720yrs312
Motor vehicle thefts in Texasr=0.9238yrs310
The divorce rate in Floridar=0.9123yrs307
Portion of all US dairy skim-solids allocated to the production of frozen dairy productsr=0.9422yrs306
Liquefied petroleum gas used in Belarusr=0.8730yrs305
The number of data entry keyers in Minnesotar=0.9720yrs302
Motor vehicle thefts in New Yorkr=0.9138yrs298
The divorce rate in Idahor=0.9123yrs297
US average milk-fat content of cottage cheeser=0.9322yrs294
Petroluem consumption in Germanyr=0.8532yrs294
The number of file clerks in Mississippir=0.9720yrs292
Motor vehicle thefts in Rhode Islandr=0.9138yrs288
The divorce rate in Texasr=0.9123yrs287
Petroluem consumption in Uzbekistanr=0.8630yrs284
US average milk-fat content of frozen dairy productsr=0.9222yrs283
The number of advertising and promotions managers in Nevadar=0.9720yrs282
Robberies in Connecticutr=0.9138yrs278
The marriage rate in Wyomingr=0.9123yrs276
The number of bill collectors in New Jerseyr=0.9620yrs272
Portion of all US dairy skim-solids allocated to the production of cottage cheeser=0.9122yrs272
Petroluem consumption in Ukrainer=0.8530yrs272
Robberies in Connecticutr=0.9138yrs268
The divorce rate in Illinoisr=0.923yrs266
The number of file clerks in New Yorkr=0.9720yrs262
Jet fuel used in Ukrainer=0.8530yrs262
The divorce rate in Oregonr=0.923yrs256
Arson in Georgiar=0.938yrs256
Carjackings in the USr=0.8627yrs255
The number of library assistants in North Carolinar=0.9720yrs252
Burglaries in District of Columbiar=0.938yrs246
The number of computer programmers in Ohior=0.9620yrs242
The divorce rate in Oklahomar=0.918yrs240
Motor vehicle thefts in Pennsylvaniar=0.938yrs236
The number of computer programmers in Texasr=0.9620yrs232
The number of cutters and trimmers, hand in Texasr=0.9720yrs222
Arson in Iowar=0.9322yrs215
The number of switchboard operators in Alabamar=0.9620yrs210
The divorce rate in Mainer=0.923yrs206
Arson in Idahor=0.9222yrs204
The number of procurement clerks in Alabamar=0.9620yrs200
The divorce rate in Missourir=0.923yrs196
Burglary rates in the USr=0.8638yrs190
The divorce rate in Virginiar=0.923yrs186
Arson in United Statesr=0.8538yrs179
The divorce rate in Wisconsinr=0.923yrs176
The marriage rate in Idahor=0.923yrs164
The marriage rate in Louisianar=0.923yrs154


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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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