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

VariableCorrelationYearsHas img?
The marriage rate in Nevadar=0.9923yrsNo
US average milk-fat content of frozen dairy productsr=0.9822yrsNo
GMO use in corn grown in Texasr=0.9818yrsNo
Air pollution in Los Angelesr=0.9743yrsNo
Arson in New Yorkr=0.9638yrsNo
Arson in United Statesr=0.9638yrsNo
US household spending on clothin for womenr=0.9623yrsNo
Carjackings in the USr=0.9627yrsNo



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

VariableCorrelationYearsSys. Score
Burglary rates in the USr=0.9638yrs436
Remaining Forest Cover in the Brazilian Amazonr=0.9736yrs434
Kerosene used in Argentinar=0.9642yrs430
Kerosene used in Thailandr=0.9642yrs430
Kerosene used in Venezuelar=0.9642yrs430
The distance between Neptune and Earthr=0.9748yrs421
The distance between Neptune and Mercuryr=0.9748yrs421
The distance between Neptune and the moonr=0.9748yrs421
US birth rates of triplets or morer=0.9820yrs420
The divorce rate in Tennesseer=0.9823yrs418
Physical album shipment volume in the United Statesr=0.9824yrs417
The marriage rate in Arkansasr=0.9823yrs416
United States music album salesr=0.9916yrs410
Google searches for 'learn spanish'r=0.9519yrs409
Google searches for 'desktop background'r=0.9716yrs409
Google searches for 'oprah winfrey'r=0.9519yrs409
Viewership count for Days of Our Livesr=0.9247yrs406
Patents granted to Toshibar=0.9612yrs402
Air pollution in Los Angelesr=0.9643yrs399
Air pollution in San Diego, Californiar=0.9743yrs398
The number of telemarketers in Californiar=0.9920yrs396
The number of meter readers, utilities in Alabamar=0.9920yrs394
The number of sewing machine operators in Californiar=0.9920yrs394
US household spending on clothingr=0.9723yrs394
US household spending on booksr=0.9723yrs394
US household spending on clothing for menr=0.9623yrs393
The distance between Neptune and the Sunr=0.9648yrs390
Burglaries in New Yorkr=0.9938yrs390
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.9722yrs390
Portion of all US dairy skim-solids allocated to the production of frozen dairy productsr=0.9722yrs390
The marriage rate in Tennesseer=0.9823yrs386
Associates degrees awarded in Business operationsr=0.9811yrs386
Bachelor's degrees awarded in linguisticsr=0.9810yrs386
Master's degrees awarded in gender studiesr=0.9810yrs386
Burglaries in Californiar=0.9838yrs378
The divorce rate in Alabamar=0.9723yrs376
Gasoline pumped in Francer=0.9543yrs370
Burglaries in Connecticutr=0.9838yrs368
Air pollution in Oxnard, Californiar=0.9741yrs366
The marriage rate in Idahor=0.9723yrs364
The number of conveyor operators in New Jerseyr=0.9920yrs364
Gasoline pumped in Bulgariar=0.9542yrs359
Motor vehicle thefts in Massachusettsr=0.9838yrs358
Air pollution in San Diego, Californiar=0.9643yrs356
The marriage rate in South Dakotar=0.9723yrs354
The number of telemarketers in New Yorkr=0.9820yrs354
Associates degrees awarded in Accountingr=0.9711yrs354
Kerosene used in Cubar=0.9542yrs349
Burglaries in Floridar=0.9738yrs347
The divorce rate in North Carolinar=0.9623yrs344
The number of brokerage clerks in New Yorkr=0.9920yrs344
Air pollution in Oxnard, Californiar=0.9543yrs344
Kerosene used in Brazilr=0.9442yrs338
Burglaries in Colorador=0.9738yrs337
The number of data entry keyers in New Yorkr=0.9920yrs334
Air pollution in Riverside, Californiar=0.9543yrs334
The marriage rate in Alabamar=0.9623yrs333
Gasoline pumped in Cubar=0.9442yrs328
Robberies in Oregonr=0.9738yrs327
The number of CEOs in Ohior=0.9820yrs324
The marriage rate in Ohior=0.9623yrs323
Kerosene used in Egyptr=0.9442yrs318
The number of typists in Ohior=0.9920yrs314
The marriage rate in South Carolinar=0.9623yrs313
Kerosene used in Turkiyer=0.9343yrs307
Burglaries in Minnesotar=0.9638yrs306
The marriage rate in Virginiar=0.9623yrs303
The number of travel agents in Connecticutr=0.9820yrs303
Burglaries in New Mexicor=0.9638yrs296
Petroluem consumption in Romaniar=0.9342yrs296
The marriage rate in Wyomingr=0.9623yrs293
The number of postal service machine operators in Connecticutr=0.9820yrs293
Burglaries in Oklahomar=0.9638yrs286
Gasoline pumped in Somaliar=0.9342yrs286
The number of typists in Floridar=0.9820yrs283
Burglaries in Oregonr=0.9638yrs276
Kerosene used in Uruguayr=0.9342yrs276
The number of switchboard operators in Indianar=0.9820yrs273
Burglaries in Rhode Islandr=0.9638yrs266
The number of couriers and messengers in Indianar=0.9820yrs263
Kerosene used in Pakistanr=0.9142yrs263
Burglaries in Texasr=0.9638yrs256
The number of postal service machine operators in Iowar=0.9820yrs253
Petroluem consumption in Bulgariar=0.942yrs252
Burglaries in Virginiar=0.9638yrs246
The number of typists in Iowar=0.9820yrs243
Kerosene used in Ecuadorr=0.942yrs242
Motor vehicle thefts in New Jerseyr=0.9638yrs236
The number of file clerks in Marylandr=0.9820yrs233
Kerosene used in Mexicor=0.9240yrs232
Robberies in Michiganr=0.9638yrs226
The number of switchboard operators in Massachusettsr=0.9820yrs223
The number of file clerks in Massachusettsr=0.9820yrs213
The number of prepress technicians and workers in Massachusettsr=0.9820yrs203


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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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