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

VariableCorrelationYearsHas img?
Burglary rates in the USr=0.9638yrsNo


Popularity of the first name Albert also correlates with...

VariableCorrelationYearsSys. Score
Arson in United Statesr=0.9738yrs437
Remaining Forest Cover in the Brazilian Amazonr=0.9836yrs435
Kerosene used in Argentinar=0.9642yrs430
Gasoline pumped in Francer=0.9543yrs430
Kerosene used in Thailandr=0.9642yrs430
The distance between Neptune and the Sunr=0.9848yrs422
The distance between Neptune and Earthr=0.9848yrs422
The distance between Neptune and the moonr=0.9848yrs422
Burglaries in Connecticutr=0.9938yrs420
The marriage rate in Virginiar=0.9723yrs414
The divorce rate in Tennesseer=0.9623yrs414
The marriage rate in Arkansasr=0.9623yrs413
The wind speed in Austinr=0.9639yrs410
Viewership count for Days of Our Livesr=0.9447yrs408
Air pollution in Los Angelesr=0.9643yrs399
Air pollution in San Diego, Californiar=0.9743yrs398
Air pollution in Oxnard, Californiar=0.9741yrs396
The number of telemarketers in Kansasr=0.9720yrs393
The number of sewing machine operators in New Yorkr=0.9820yrs393
US household spending on clothingr=0.9623yrs393
US household spending on clothing for menr=0.9623yrs393
The number of sewing machine operators in Californiar=0.9720yrs392
The distance between Neptune and Mercuryr=0.9748yrs391
Motor vehicle thefts in Massachusettsr=0.9938yrs390
US average milk-fat content of frozen dairy productsr=0.9622yrs389
US birth rates of triplets or morer=0.9420yrs384
The marriage rate in Nevadar=0.9623yrs383
Physical album shipment volume in the United Statesr=0.9424yrs381
Burglaries in Floridar=0.9838yrs378
The wind speed in San Diegor=0.9339yrs376
Milk consumptionr=0.9132yrs374
Cottage cheese consumptionr=0.9232yrs374
The marriage rate in Ohior=0.9623yrs373
Kerosene used in Cubar=0.9542yrs369
Burglaries in New Yorkr=0.9838yrs368
Air pollution in Oxnard, Californiar=0.9643yrs366
The marriage rate in South Carolinar=0.9623yrs363
The number of telemarketers in Illinoisr=0.9620yrs362
Gasoline pumped in Cubar=0.9442yrs358
Burglaries in New Jerseyr=0.9738yrs357
The marriage rate in South Dakotar=0.9623yrs353
The number of cooks, short order in Michiganr=0.9720yrs352
Kerosene used in Egyptr=0.9442yrs348
Burglaries in New Mexicor=0.9738yrs347
Frozen yogurt consumptionr=0.9232yrs344
The marriage rate in Tennesseer=0.9623yrs343
The number of switchboard operators in Georgiar=0.9620yrs340
Kerosene used in Uruguayr=0.9442yrs338
Burglaries in Rhode Islandr=0.9738yrs337
The marriage rate in Idahor=0.9523yrs332
The number of dishwashers in Iowar=0.9620yrs330
Kerosene used in Venezuelar=0.9442yrs328
Burglaries in Virginiar=0.9738yrs327
The number of bill collectors in Massachusettsr=0.9520yrs320
Burglaries in Californiar=0.9738yrs317
Kerosene used in Brazilr=0.9342yrs316
The number of heat treating equipment setters, operators, and tenders, metal and plastic in Massachusettsr=0.9620yrs310
Motor vehicle thefts in New Jerseyr=0.9738yrs307
Gasoline pumped in Bulgariar=0.9342yrs306
The number of file clerks in Missourir=0.9620yrs300
Arson in New Jerseyr=0.9638yrs296
Gasoline pumped in Austriar=0.9143yrs294
The divorce rate in Oregonr=0.9523yrs293
Carjackings in the USr=0.9427yrs292
The number of data entry keyers in New Yorkr=0.9620yrs290
Arson in Californiar=0.9638yrs286
Kerosene used in Pakistanr=0.9242yrs284
The divorce rate in Alabamar=0.9423yrs282
The number of travel agents in Pennsylvaniar=0.9620yrs280
Burglaries in Illinoisr=0.9638yrs276
Petroluem consumption in Romaniar=0.9242yrs274
The divorce rate in Ohior=0.9423yrs272
The number of salespeople in Connecticutr=0.9520yrs268
Burglaries in Minnesotar=0.9638yrs266
Kerosene used in Turkiyer=0.9143yrs264
The marriage rate in Arizonar=0.9423yrs260
The number of prepress technicians and workers in Michiganr=0.9520yrs258
Burglaries in Arizonar=0.9638yrs256
Kerosene used in Perur=0.9142yrs253
The marriage rate in Kentuckyr=0.9423yrs250
The number of switchboard operators in Nevadar=0.9520yrs248
Motor vehicle thefts in Mainer=0.9638yrs246
Gasoline pumped in Somaliar=0.9142yrs243
The marriage rate in Wisconsinr=0.9423yrs240
The number of travel agents in New Jerseyr=0.9520yrs238
Motor vehicle thefts in Rhode Islandr=0.9638yrs236
Kerosene used in Mexicor=0.9140yrs231
The marriage rate in Wyomingr=0.9423yrs230
The number of switchboard operators in South Carolinar=0.9520yrs228
Robberies in Michiganr=0.9638yrs226
The divorce rate in New Hampshirer=0.9323yrs220
The number of secretaries in Mississippir=0.9713yrs216
Gasoline pumped in Germanyr=0.9232yrs214
The divorce rate in North Carolinar=0.9323yrs210
The number of secretaries in Rhode Islandr=0.9613yrs204
Petroluem consumption in Germanyr=0.9132yrs203
The marriage rate in Missourir=0.9323yrs198
The number of first-line retail sales supervisors in Arizonar=0.9613yrs193
Petroluem consumption in Uzbekistanr=0.9230yrs192
The marriage rate in Nebraskar=0.9323yrs188


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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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